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• Published: 11 January 2023

The effectiveness of collaborative problem solving in promoting students’ critical thinking: A meta-analysis based on empirical literature

• Enwei Xu   ORCID: orcid.org/0000-0001-6424-8169 1 ,
• Wei Wang 1 &
• Qingxia Wang 1  

Humanities and Social Sciences Communications volume  10 , Article number:  16 ( 2023 ) Cite this article

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Collaborative problem-solving has been widely embraced in the classroom instruction of critical thinking, which is regarded as the core of curriculum reform based on key competencies in the field of education as well as a key competence for learners in the 21st century. However, the effectiveness of collaborative problem-solving in promoting students’ critical thinking remains uncertain. This current research presents the major findings of a meta-analysis of 36 pieces of the literature revealed in worldwide educational periodicals during the 21st century to identify the effectiveness of collaborative problem-solving in promoting students’ critical thinking and to determine, based on evidence, whether and to what extent collaborative problem solving can result in a rise or decrease in critical thinking. The findings show that (1) collaborative problem solving is an effective teaching approach to foster students’ critical thinking, with a significant overall effect size (ES = 0.82, z  = 12.78, P  < 0.01, 95% CI [0.69, 0.95]); (2) in respect to the dimensions of critical thinking, collaborative problem solving can significantly and successfully enhance students’ attitudinal tendencies (ES = 1.17, z  = 7.62, P  < 0.01, 95% CI[0.87, 1.47]); nevertheless, it falls short in terms of improving students’ cognitive skills, having only an upper-middle impact (ES = 0.70, z  = 11.55, P  < 0.01, 95% CI[0.58, 0.82]); and (3) the teaching type (chi 2  = 7.20, P  < 0.05), intervention duration (chi 2  = 12.18, P  < 0.01), subject area (chi 2  = 13.36, P  < 0.05), group size (chi 2  = 8.77, P  < 0.05), and learning scaffold (chi 2  = 9.03, P  < 0.01) all have an impact on critical thinking, and they can be viewed as important moderating factors that affect how critical thinking develops. On the basis of these results, recommendations are made for further study and instruction to better support students’ critical thinking in the context of collaborative problem-solving.

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Introduction.

Although critical thinking has a long history in research, the concept of critical thinking, which is regarded as an essential competence for learners in the 21st century, has recently attracted more attention from researchers and teaching practitioners (National Research Council, 2012 ). Critical thinking should be the core of curriculum reform based on key competencies in the field of education (Peng and Deng, 2017 ) because students with critical thinking can not only understand the meaning of knowledge but also effectively solve practical problems in real life even after knowledge is forgotten (Kek and Huijser, 2011 ). The definition of critical thinking is not universal (Ennis, 1989 ; Castle, 2009 ; Niu et al., 2013 ). In general, the definition of critical thinking is a self-aware and self-regulated thought process (Facione, 1990 ; Niu et al., 2013 ). It refers to the cognitive skills needed to interpret, analyze, synthesize, reason, and evaluate information as well as the attitudinal tendency to apply these abilities (Halpern, 2001 ). The view that critical thinking can be taught and learned through curriculum teaching has been widely supported by many researchers (e.g., Kuncel, 2011 ; Leng and Lu, 2020 ), leading to educators’ efforts to foster it among students. In the field of teaching practice, there are three types of courses for teaching critical thinking (Ennis, 1989 ). The first is an independent curriculum in which critical thinking is taught and cultivated without involving the knowledge of specific disciplines; the second is an integrated curriculum in which critical thinking is integrated into the teaching of other disciplines as a clear teaching goal; and the third is a mixed curriculum in which critical thinking is taught in parallel to the teaching of other disciplines for mixed teaching training. Furthermore, numerous measuring tools have been developed by researchers and educators to measure critical thinking in the context of teaching practice. These include standardized measurement tools, such as WGCTA, CCTST, CCTT, and CCTDI, which have been verified by repeated experiments and are considered effective and reliable by international scholars (Facione and Facione, 1992 ). In short, descriptions of critical thinking, including its two dimensions of attitudinal tendency and cognitive skills, different types of teaching courses, and standardized measurement tools provide a complex normative framework for understanding, teaching, and evaluating critical thinking.

Cultivating critical thinking in curriculum teaching can start with a problem, and one of the most popular critical thinking instructional approaches is problem-based learning (Liu et al., 2020 ). Duch et al. ( 2001 ) noted that problem-based learning in group collaboration is progressive active learning, which can improve students’ critical thinking and problem-solving skills. Collaborative problem-solving is the organic integration of collaborative learning and problem-based learning, which takes learners as the center of the learning process and uses problems with poor structure in real-world situations as the starting point for the learning process (Liang et al., 2017 ). Students learn the knowledge needed to solve problems in a collaborative group, reach a consensus on problems in the field, and form solutions through social cooperation methods, such as dialogue, interpretation, questioning, debate, negotiation, and reflection, thus promoting the development of learners’ domain knowledge and critical thinking (Cindy, 2004 ; Liang et al., 2017 ).

Collaborative problem-solving has been widely used in the teaching practice of critical thinking, and several studies have attempted to conduct a systematic review and meta-analysis of the empirical literature on critical thinking from various perspectives. However, little attention has been paid to the impact of collaborative problem-solving on critical thinking. Therefore, the best approach for developing and enhancing critical thinking throughout collaborative problem-solving is to examine how to implement critical thinking instruction; however, this issue is still unexplored, which means that many teachers are incapable of better instructing critical thinking (Leng and Lu, 2020 ; Niu et al., 2013 ). For example, Huber ( 2016 ) provided the meta-analysis findings of 71 publications on gaining critical thinking over various time frames in college with the aim of determining whether critical thinking was truly teachable. These authors found that learners significantly improve their critical thinking while in college and that critical thinking differs with factors such as teaching strategies, intervention duration, subject area, and teaching type. The usefulness of collaborative problem-solving in fostering students’ critical thinking, however, was not determined by this study, nor did it reveal whether there existed significant variations among the different elements. A meta-analysis of 31 pieces of educational literature was conducted by Liu et al. ( 2020 ) to assess the impact of problem-solving on college students’ critical thinking. These authors found that problem-solving could promote the development of critical thinking among college students and proposed establishing a reasonable group structure for problem-solving in a follow-up study to improve students’ critical thinking. Additionally, previous empirical studies have reached inconclusive and even contradictory conclusions about whether and to what extent collaborative problem-solving increases or decreases critical thinking levels. As an illustration, Yang et al. ( 2008 ) carried out an experiment on the integrated curriculum teaching of college students based on a web bulletin board with the goal of fostering participants’ critical thinking in the context of collaborative problem-solving. These authors’ research revealed that through sharing, debating, examining, and reflecting on various experiences and ideas, collaborative problem-solving can considerably enhance students’ critical thinking in real-life problem situations. In contrast, collaborative problem-solving had a positive impact on learners’ interaction and could improve learning interest and motivation but could not significantly improve students’ critical thinking when compared to traditional classroom teaching, according to research by Naber and Wyatt ( 2014 ) and Sendag and Odabasi ( 2009 ) on undergraduate and high school students, respectively.

The above studies show that there is inconsistency regarding the effectiveness of collaborative problem-solving in promoting students’ critical thinking. Therefore, it is essential to conduct a thorough and trustworthy review to detect and decide whether and to what degree collaborative problem-solving can result in a rise or decrease in critical thinking. Meta-analysis is a quantitative analysis approach that is utilized to examine quantitative data from various separate studies that are all focused on the same research topic. This approach characterizes the effectiveness of its impact by averaging the effect sizes of numerous qualitative studies in an effort to reduce the uncertainty brought on by independent research and produce more conclusive findings (Lipsey and Wilson, 2001 ).

This paper used a meta-analytic approach and carried out a meta-analysis to examine the effectiveness of collaborative problem-solving in promoting students’ critical thinking in order to make a contribution to both research and practice. The following research questions were addressed by this meta-analysis:

What is the overall effect size of collaborative problem-solving in promoting students’ critical thinking and its impact on the two dimensions of critical thinking (i.e., attitudinal tendency and cognitive skills)?

How are the disparities between the study conclusions impacted by various moderating variables if the impacts of various experimental designs in the included studies are heterogeneous?

This research followed the strict procedures (e.g., database searching, identification, screening, eligibility, merging, duplicate removal, and analysis of included studies) of Cooper’s ( 2010 ) proposed meta-analysis approach for examining quantitative data from various separate studies that are all focused on the same research topic. The relevant empirical research that appeared in worldwide educational periodicals within the 21st century was subjected to this meta-analysis using Rev-Man 5.4. The consistency of the data extracted separately by two researchers was tested using Cohen’s kappa coefficient, and a publication bias test and a heterogeneity test were run on the sample data to ascertain the quality of this meta-analysis.

Data sources and search strategies

There were three stages to the data collection process for this meta-analysis, as shown in Fig. 1 , which shows the number of articles included and eliminated during the selection process based on the statement and study eligibility criteria.

This flowchart shows the number of records identified, included and excluded in the article.

First, the databases used to systematically search for relevant articles were the journal papers of the Web of Science Core Collection and the Chinese Core source journal, as well as the Chinese Social Science Citation Index (CSSCI) source journal papers included in CNKI. These databases were selected because they are credible platforms that are sources of scholarly and peer-reviewed information with advanced search tools and contain literature relevant to the subject of our topic from reliable researchers and experts. The search string with the Boolean operator used in the Web of Science was “TS = (((“critical thinking” or “ct” and “pretest” or “posttest”) or (“critical thinking” or “ct” and “control group” or “quasi experiment” or “experiment”)) and (“collaboration” or “collaborative learning” or “CSCL”) and (“problem solving” or “problem-based learning” or “PBL”))”. The research area was “Education Educational Research”, and the search period was “January 1, 2000, to December 30, 2021”. A total of 412 papers were obtained. The search string with the Boolean operator used in the CNKI was “SU = (‘critical thinking’*‘collaboration’ + ‘critical thinking’*‘collaborative learning’ + ‘critical thinking’*‘CSCL’ + ‘critical thinking’*‘problem solving’ + ‘critical thinking’*‘problem-based learning’ + ‘critical thinking’*‘PBL’ + ‘critical thinking’*‘problem oriented’) AND FT = (‘experiment’ + ‘quasi experiment’ + ‘pretest’ + ‘posttest’ + ‘empirical study’)” (translated into Chinese when searching). A total of 56 studies were found throughout the search period of “January 2000 to December 2021”. From the databases, all duplicates and retractions were eliminated before exporting the references into Endnote, a program for managing bibliographic references. In all, 466 studies were found.

Second, the studies that matched the inclusion and exclusion criteria for the meta-analysis were chosen by two researchers after they had reviewed the abstracts and titles of the gathered articles, yielding a total of 126 studies.

Third, two researchers thoroughly reviewed each included article’s whole text in accordance with the inclusion and exclusion criteria. Meanwhile, a snowball search was performed using the references and citations of the included articles to ensure complete coverage of the articles. Ultimately, 36 articles were kept.

Two researchers worked together to carry out this entire process, and a consensus rate of almost 94.7% was reached after discussion and negotiation to clarify any emerging differences.

Eligibility criteria

Since not all the retrieved studies matched the criteria for this meta-analysis, eligibility criteria for both inclusion and exclusion were developed as follows:

The publication language of the included studies was limited to English and Chinese, and the full text could be obtained. Articles that did not meet the publication language and articles not published between 2000 and 2021 were excluded.

The research design of the included studies must be empirical and quantitative studies that can assess the effect of collaborative problem-solving on the development of critical thinking. Articles that could not identify the causal mechanisms by which collaborative problem-solving affects critical thinking, such as review articles and theoretical articles, were excluded.

The research method of the included studies must feature a randomized control experiment or a quasi-experiment, or a natural experiment, which have a higher degree of internal validity with strong experimental designs and can all plausibly provide evidence that critical thinking and collaborative problem-solving are causally related. Articles with non-experimental research methods, such as purely correlational or observational studies, were excluded.

The participants of the included studies were only students in school, including K-12 students and college students. Articles in which the participants were non-school students, such as social workers or adult learners, were excluded.

The research results of the included studies must mention definite signs that may be utilized to gauge critical thinking’s impact (e.g., sample size, mean value, or standard deviation). Articles that lacked specific measurement indicators for critical thinking and could not calculate the effect size were excluded.

Data coding design

In order to perform a meta-analysis, it is necessary to collect the most important information from the articles, codify that information’s properties, and convert descriptive data into quantitative data. Therefore, this study designed a data coding template (see Table 1 ). Ultimately, 16 coding fields were retained.

The designed data-coding template consisted of three pieces of information. Basic information about the papers was included in the descriptive information: the publishing year, author, serial number, and title of the paper.

The variable information for the experimental design had three variables: the independent variable (instruction method), the dependent variable (critical thinking), and the moderating variable (learning stage, teaching type, intervention duration, learning scaffold, group size, measuring tool, and subject area). Depending on the topic of this study, the intervention strategy, as the independent variable, was coded into collaborative and non-collaborative problem-solving. The dependent variable, critical thinking, was coded as a cognitive skill and an attitudinal tendency. And seven moderating variables were created by grouping and combining the experimental design variables discovered within the 36 studies (see Table 1 ), where learning stages were encoded as higher education, high school, middle school, and primary school or lower; teaching types were encoded as mixed courses, integrated courses, and independent courses; intervention durations were encoded as 0–1 weeks, 1–4 weeks, 4–12 weeks, and more than 12 weeks; group sizes were encoded as 2–3 persons, 4–6 persons, 7–10 persons, and more than 10 persons; learning scaffolds were encoded as teacher-supported learning scaffold, technique-supported learning scaffold, and resource-supported learning scaffold; measuring tools were encoded as standardized measurement tools (e.g., WGCTA, CCTT, CCTST, and CCTDI) and self-adapting measurement tools (e.g., modified or made by researchers); and subject areas were encoded according to the specific subjects used in the 36 included studies.

The data information contained three metrics for measuring critical thinking: sample size, average value, and standard deviation. It is vital to remember that studies with various experimental designs frequently adopt various formulas to determine the effect size. And this paper used Morris’ proposed standardized mean difference (SMD) calculation formula ( 2008 , p. 369; see Supplementary Table S3 ).

Procedure for extracting and coding data

According to the data coding template (see Table 1 ), the 36 papers’ information was retrieved by two researchers, who then entered them into Excel (see Supplementary Table S1 ). The results of each study were extracted separately in the data extraction procedure if an article contained numerous studies on critical thinking, or if a study assessed different critical thinking dimensions. For instance, Tiwari et al. ( 2010 ) used four time points, which were viewed as numerous different studies, to examine the outcomes of critical thinking, and Chen ( 2013 ) included the two outcome variables of attitudinal tendency and cognitive skills, which were regarded as two studies. After discussion and negotiation during data extraction, the two researchers’ consistency test coefficients were roughly 93.27%. Supplementary Table S2 details the key characteristics of the 36 included articles with 79 effect quantities, including descriptive information (e.g., the publishing year, author, serial number, and title of the paper), variable information (e.g., independent variables, dependent variables, and moderating variables), and data information (e.g., mean values, standard deviations, and sample size). Following that, testing for publication bias and heterogeneity was done on the sample data using the Rev-Man 5.4 software, and then the test results were used to conduct a meta-analysis.

Publication bias test

When the sample of studies included in a meta-analysis does not accurately reflect the general status of research on the relevant subject, publication bias is said to be exhibited in this research. The reliability and accuracy of the meta-analysis may be impacted by publication bias. Due to this, the meta-analysis needs to check the sample data for publication bias (Stewart et al., 2006 ). A popular method to check for publication bias is the funnel plot; and it is unlikely that there will be publishing bias when the data are equally dispersed on either side of the average effect size and targeted within the higher region. The data are equally dispersed within the higher portion of the efficient zone, consistent with the funnel plot connected with this analysis (see Fig. 2 ), indicating that publication bias is unlikely in this situation.

This funnel plot shows the result of publication bias of 79 effect quantities across 36 studies.

Heterogeneity test

To select the appropriate effect models for the meta-analysis, one might use the results of a heterogeneity test on the data effect sizes. In a meta-analysis, it is common practice to gauge the degree of data heterogeneity using the I 2 value, and I 2  ≥ 50% is typically understood to denote medium-high heterogeneity, which calls for the adoption of a random effect model; if not, a fixed effect model ought to be applied (Lipsey and Wilson, 2001 ). The findings of the heterogeneity test in this paper (see Table 2 ) revealed that I 2 was 86% and displayed significant heterogeneity ( P  < 0.01). To ensure accuracy and reliability, the overall effect size ought to be calculated utilizing the random effect model.

The analysis of the overall effect size

This meta-analysis utilized a random effect model to examine 79 effect quantities from 36 studies after eliminating heterogeneity. In accordance with Cohen’s criterion (Cohen, 1992 ), it is abundantly clear from the analysis results, which are shown in the forest plot of the overall effect (see Fig. 3 ), that the cumulative impact size of cooperative problem-solving is 0.82, which is statistically significant ( z  = 12.78, P  < 0.01, 95% CI [0.69, 0.95]), and can encourage learners to practice critical thinking.

This forest plot shows the analysis result of the overall effect size across 36 studies.

In addition, this study examined two distinct dimensions of critical thinking to better understand the precise contributions that collaborative problem-solving makes to the growth of critical thinking. The findings (see Table 3 ) indicate that collaborative problem-solving improves cognitive skills (ES = 0.70) and attitudinal tendency (ES = 1.17), with significant intergroup differences (chi 2  = 7.95, P  < 0.01). Although collaborative problem-solving improves both dimensions of critical thinking, it is essential to point out that the improvements in students’ attitudinal tendency are much more pronounced and have a significant comprehensive effect (ES = 1.17, z  = 7.62, P  < 0.01, 95% CI [0.87, 1.47]), whereas gains in learners’ cognitive skill are slightly improved and are just above average. (ES = 0.70, z  = 11.55, P  < 0.01, 95% CI [0.58, 0.82]).

The analysis of moderator effect size

The whole forest plot’s 79 effect quantities underwent a two-tailed test, which revealed significant heterogeneity ( I 2  = 86%, z  = 12.78, P  < 0.01), indicating differences between various effect sizes that may have been influenced by moderating factors other than sampling error. Therefore, exploring possible moderating factors that might produce considerable heterogeneity was done using subgroup analysis, such as the learning stage, learning scaffold, teaching type, group size, duration of the intervention, measuring tool, and the subject area included in the 36 experimental designs, in order to further explore the key factors that influence critical thinking. The findings (see Table 4 ) indicate that various moderating factors have advantageous effects on critical thinking. In this situation, the subject area (chi 2  = 13.36, P  < 0.05), group size (chi 2  = 8.77, P  < 0.05), intervention duration (chi 2  = 12.18, P  < 0.01), learning scaffold (chi 2  = 9.03, P  < 0.01), and teaching type (chi 2  = 7.20, P  < 0.05) are all significant moderators that can be applied to support the cultivation of critical thinking. However, since the learning stage and the measuring tools did not significantly differ among intergroup (chi 2  = 3.15, P  = 0.21 > 0.05, and chi 2  = 0.08, P  = 0.78 > 0.05), we are unable to explain why these two factors are crucial in supporting the cultivation of critical thinking in the context of collaborative problem-solving. These are the precise outcomes, as follows:

Various learning stages influenced critical thinking positively, without significant intergroup differences (chi 2  = 3.15, P  = 0.21 > 0.05). High school was first on the list of effect sizes (ES = 1.36, P  < 0.01), then higher education (ES = 0.78, P  < 0.01), and middle school (ES = 0.73, P  < 0.01). These results show that, despite the learning stage’s beneficial influence on cultivating learners’ critical thinking, we are unable to explain why it is essential for cultivating critical thinking in the context of collaborative problem-solving.

Different teaching types had varying degrees of positive impact on critical thinking, with significant intergroup differences (chi 2  = 7.20, P  < 0.05). The effect size was ranked as follows: mixed courses (ES = 1.34, P  < 0.01), integrated courses (ES = 0.81, P  < 0.01), and independent courses (ES = 0.27, P  < 0.01). These results indicate that the most effective approach to cultivate critical thinking utilizing collaborative problem solving is through the teaching type of mixed courses.

Various intervention durations significantly improved critical thinking, and there were significant intergroup differences (chi 2  = 12.18, P  < 0.01). The effect sizes related to this variable showed a tendency to increase with longer intervention durations. The improvement in critical thinking reached a significant level (ES = 0.85, P  < 0.01) after more than 12 weeks of training. These findings indicate that the intervention duration and critical thinking’s impact are positively correlated, with a longer intervention duration having a greater effect.

Different learning scaffolds influenced critical thinking positively, with significant intergroup differences (chi 2  = 9.03, P  < 0.01). The resource-supported learning scaffold (ES = 0.69, P  < 0.01) acquired a medium-to-higher level of impact, the technique-supported learning scaffold (ES = 0.63, P  < 0.01) also attained a medium-to-higher level of impact, and the teacher-supported learning scaffold (ES = 0.92, P  < 0.01) displayed a high level of significant impact. These results show that the learning scaffold with teacher support has the greatest impact on cultivating critical thinking.

Various group sizes influenced critical thinking positively, and the intergroup differences were statistically significant (chi 2  = 8.77, P  < 0.05). Critical thinking showed a general declining trend with increasing group size. The overall effect size of 2–3 people in this situation was the biggest (ES = 0.99, P  < 0.01), and when the group size was greater than 7 people, the improvement in critical thinking was at the lower-middle level (ES < 0.5, P  < 0.01). These results show that the impact on critical thinking is positively connected with group size, and as group size grows, so does the overall impact.

Various measuring tools influenced critical thinking positively, with significant intergroup differences (chi 2  = 0.08, P  = 0.78 > 0.05). In this situation, the self-adapting measurement tools obtained an upper-medium level of effect (ES = 0.78), whereas the complete effect size of the standardized measurement tools was the largest, achieving a significant level of effect (ES = 0.84, P  < 0.01). These results show that, despite the beneficial influence of the measuring tool on cultivating critical thinking, we are unable to explain why it is crucial in fostering the growth of critical thinking by utilizing the approach of collaborative problem-solving.

Different subject areas had a greater impact on critical thinking, and the intergroup differences were statistically significant (chi 2  = 13.36, P  < 0.05). Mathematics had the greatest overall impact, achieving a significant level of effect (ES = 1.68, P  < 0.01), followed by science (ES = 1.25, P  < 0.01) and medical science (ES = 0.87, P  < 0.01), both of which also achieved a significant level of effect. Programming technology was the least effective (ES = 0.39, P  < 0.01), only having a medium-low degree of effect compared to education (ES = 0.72, P  < 0.01) and other fields (such as language, art, and social sciences) (ES = 0.58, P  < 0.01). These results suggest that scientific fields (e.g., mathematics, science) may be the most effective subject areas for cultivating critical thinking utilizing the approach of collaborative problem-solving.

The effectiveness of collaborative problem solving with regard to teaching critical thinking

According to this meta-analysis, using collaborative problem-solving as an intervention strategy in critical thinking teaching has a considerable amount of impact on cultivating learners’ critical thinking as a whole and has a favorable promotional effect on the two dimensions of critical thinking. According to certain studies, collaborative problem solving, the most frequently used critical thinking teaching strategy in curriculum instruction can considerably enhance students’ critical thinking (e.g., Liang et al., 2017 ; Liu et al., 2020 ; Cindy, 2004 ). This meta-analysis provides convergent data support for the above research views. Thus, the findings of this meta-analysis not only effectively address the first research query regarding the overall effect of cultivating critical thinking and its impact on the two dimensions of critical thinking (i.e., attitudinal tendency and cognitive skills) utilizing the approach of collaborative problem-solving, but also enhance our confidence in cultivating critical thinking by using collaborative problem-solving intervention approach in the context of classroom teaching.

Furthermore, the associated improvements in attitudinal tendency are much stronger, but the corresponding improvements in cognitive skill are only marginally better. According to certain studies, cognitive skill differs from the attitudinal tendency in classroom instruction; the cultivation and development of the former as a key ability is a process of gradual accumulation, while the latter as an attitude is affected by the context of the teaching situation (e.g., a novel and exciting teaching approach, challenging and rewarding tasks) (Halpern, 2001 ; Wei and Hong, 2022 ). Collaborative problem-solving as a teaching approach is exciting and interesting, as well as rewarding and challenging; because it takes the learners as the focus and examines problems with poor structure in real situations, and it can inspire students to fully realize their potential for problem-solving, which will significantly improve their attitudinal tendency toward solving problems (Liu et al., 2020 ). Similar to how collaborative problem-solving influences attitudinal tendency, attitudinal tendency impacts cognitive skill when attempting to solve a problem (Liu et al., 2020 ; Zhang et al., 2022 ), and stronger attitudinal tendencies are associated with improved learning achievement and cognitive ability in students (Sison, 2008 ; Zhang et al., 2022 ). It can be seen that the two specific dimensions of critical thinking as well as critical thinking as a whole are affected by collaborative problem-solving, and this study illuminates the nuanced links between cognitive skills and attitudinal tendencies with regard to these two dimensions of critical thinking. To fully develop students’ capacity for critical thinking, future empirical research should pay closer attention to cognitive skills.

The moderating effects of collaborative problem solving with regard to teaching critical thinking

In order to further explore the key factors that influence critical thinking, exploring possible moderating effects that might produce considerable heterogeneity was done using subgroup analysis. The findings show that the moderating factors, such as the teaching type, learning stage, group size, learning scaffold, duration of the intervention, measuring tool, and the subject area included in the 36 experimental designs, could all support the cultivation of collaborative problem-solving in critical thinking. Among them, the effect size differences between the learning stage and measuring tool are not significant, which does not explain why these two factors are crucial in supporting the cultivation of critical thinking utilizing the approach of collaborative problem-solving.

In terms of the learning stage, various learning stages influenced critical thinking positively without significant intergroup differences, indicating that we are unable to explain why it is crucial in fostering the growth of critical thinking.

Although high education accounts for 70.89% of all empirical studies performed by researchers, high school may be the appropriate learning stage to foster students’ critical thinking by utilizing the approach of collaborative problem-solving since it has the largest overall effect size. This phenomenon may be related to student’s cognitive development, which needs to be further studied in follow-up research.

With regard to teaching type, mixed course teaching may be the best teaching method to cultivate students’ critical thinking. Relevant studies have shown that in the actual teaching process if students are trained in thinking methods alone, the methods they learn are isolated and divorced from subject knowledge, which is not conducive to their transfer of thinking methods; therefore, if students’ thinking is trained only in subject teaching without systematic method training, it is challenging to apply to real-world circumstances (Ruggiero, 2012 ; Hu and Liu, 2015 ). Teaching critical thinking as mixed course teaching in parallel to other subject teachings can achieve the best effect on learners’ critical thinking, and explicit critical thinking instruction is more effective than less explicit critical thinking instruction (Bensley and Spero, 2014 ).

In terms of the intervention duration, with longer intervention times, the overall effect size shows an upward tendency. Thus, the intervention duration and critical thinking’s impact are positively correlated. Critical thinking, as a key competency for students in the 21st century, is difficult to get a meaningful improvement in a brief intervention duration. Instead, it could be developed over a lengthy period of time through consistent teaching and the progressive accumulation of knowledge (Halpern, 2001 ; Hu and Liu, 2015 ). Therefore, future empirical studies ought to take these restrictions into account throughout a longer period of critical thinking instruction.

With regard to group size, a group size of 2–3 persons has the highest effect size, and the comprehensive effect size decreases with increasing group size in general. This outcome is in line with some research findings; as an example, a group composed of two to four members is most appropriate for collaborative learning (Schellens and Valcke, 2006 ). However, the meta-analysis results also indicate that once the group size exceeds 7 people, small groups cannot produce better interaction and performance than large groups. This may be because the learning scaffolds of technique support, resource support, and teacher support improve the frequency and effectiveness of interaction among group members, and a collaborative group with more members may increase the diversity of views, which is helpful to cultivate critical thinking utilizing the approach of collaborative problem-solving.

With regard to the learning scaffold, the three different kinds of learning scaffolds can all enhance critical thinking. Among them, the teacher-supported learning scaffold has the largest overall effect size, demonstrating the interdependence of effective learning scaffolds and collaborative problem-solving. This outcome is in line with some research findings; as an example, a successful strategy is to encourage learners to collaborate, come up with solutions, and develop critical thinking skills by using learning scaffolds (Reiser, 2004 ; Xu et al., 2022 ); learning scaffolds can lower task complexity and unpleasant feelings while also enticing students to engage in learning activities (Wood et al., 2006 ); learning scaffolds are designed to assist students in using learning approaches more successfully to adapt the collaborative problem-solving process, and the teacher-supported learning scaffolds have the greatest influence on critical thinking in this process because they are more targeted, informative, and timely (Xu et al., 2022 ).

With respect to the measuring tool, despite the fact that standardized measurement tools (such as the WGCTA, CCTT, and CCTST) have been acknowledged as trustworthy and effective by worldwide experts, only 54.43% of the research included in this meta-analysis adopted them for assessment, and the results indicated no intergroup differences. These results suggest that not all teaching circumstances are appropriate for measuring critical thinking using standardized measurement tools. “The measuring tools for measuring thinking ability have limits in assessing learners in educational situations and should be adapted appropriately to accurately assess the changes in learners’ critical thinking.”, according to Simpson and Courtney ( 2002 , p. 91). As a result, in order to more fully and precisely gauge how learners’ critical thinking has evolved, we must properly modify standardized measuring tools based on collaborative problem-solving learning contexts.

With regard to the subject area, the comprehensive effect size of science departments (e.g., mathematics, science, medical science) is larger than that of language arts and social sciences. Some recent international education reforms have noted that critical thinking is a basic part of scientific literacy. Students with scientific literacy can prove the rationality of their judgment according to accurate evidence and reasonable standards when they face challenges or poorly structured problems (Kyndt et al., 2013 ), which makes critical thinking crucial for developing scientific understanding and applying this understanding to practical problem solving for problems related to science, technology, and society (Yore et al., 2007 ).

Suggestions for critical thinking teaching

Other than those stated in the discussion above, the following suggestions are offered for critical thinking instruction utilizing the approach of collaborative problem-solving.

First, teachers should put a special emphasis on the two core elements, which are collaboration and problem-solving, to design real problems based on collaborative situations. This meta-analysis provides evidence to support the view that collaborative problem-solving has a strong synergistic effect on promoting students’ critical thinking. Asking questions about real situations and allowing learners to take part in critical discussions on real problems during class instruction are key ways to teach critical thinking rather than simply reading speculative articles without practice (Mulnix, 2012 ). Furthermore, the improvement of students’ critical thinking is realized through cognitive conflict with other learners in the problem situation (Yang et al., 2008 ). Consequently, it is essential for teachers to put a special emphasis on the two core elements, which are collaboration and problem-solving, and design real problems and encourage students to discuss, negotiate, and argue based on collaborative problem-solving situations.

Second, teachers should design and implement mixed courses to cultivate learners’ critical thinking, utilizing the approach of collaborative problem-solving. Critical thinking can be taught through curriculum instruction (Kuncel, 2011 ; Leng and Lu, 2020 ), with the goal of cultivating learners’ critical thinking for flexible transfer and application in real problem-solving situations. This meta-analysis shows that mixed course teaching has a highly substantial impact on the cultivation and promotion of learners’ critical thinking. Therefore, teachers should design and implement mixed course teaching with real collaborative problem-solving situations in combination with the knowledge content of specific disciplines in conventional teaching, teach methods and strategies of critical thinking based on poorly structured problems to help students master critical thinking, and provide practical activities in which students can interact with each other to develop knowledge construction and critical thinking utilizing the approach of collaborative problem-solving.

Third, teachers should be more trained in critical thinking, particularly preservice teachers, and they also should be conscious of the ways in which teachers’ support for learning scaffolds can promote critical thinking. The learning scaffold supported by teachers had the greatest impact on learners’ critical thinking, in addition to being more directive, targeted, and timely (Wood et al., 2006 ). Critical thinking can only be effectively taught when teachers recognize the significance of critical thinking for students’ growth and use the proper approaches while designing instructional activities (Forawi, 2016 ). Therefore, with the intention of enabling teachers to create learning scaffolds to cultivate learners’ critical thinking utilizing the approach of collaborative problem solving, it is essential to concentrate on the teacher-supported learning scaffolds and enhance the instruction for teaching critical thinking to teachers, especially preservice teachers.

Implications and limitations

There are certain limitations in this meta-analysis, but future research can correct them. First, the search languages were restricted to English and Chinese, so it is possible that pertinent studies that were written in other languages were overlooked, resulting in an inadequate number of articles for review. Second, these data provided by the included studies are partially missing, such as whether teachers were trained in the theory and practice of critical thinking, the average age and gender of learners, and the differences in critical thinking among learners of various ages and genders. Third, as is typical for review articles, more studies were released while this meta-analysis was being done; therefore, it had a time limit. With the development of relevant research, future studies focusing on these issues are highly relevant and needed.

Conclusions

The subject of the magnitude of collaborative problem-solving’s impact on fostering students’ critical thinking, which received scant attention from other studies, was successfully addressed by this study. The question of the effectiveness of collaborative problem-solving in promoting students’ critical thinking was addressed in this study, which addressed a topic that had gotten little attention in earlier research. The following conclusions can be made:

Regarding the results obtained, collaborative problem solving is an effective teaching approach to foster learners’ critical thinking, with a significant overall effect size (ES = 0.82, z  = 12.78, P  < 0.01, 95% CI [0.69, 0.95]). With respect to the dimensions of critical thinking, collaborative problem-solving can significantly and effectively improve students’ attitudinal tendency, and the comprehensive effect is significant (ES = 1.17, z  = 7.62, P  < 0.01, 95% CI [0.87, 1.47]); nevertheless, it falls short in terms of improving students’ cognitive skills, having only an upper-middle impact (ES = 0.70, z  = 11.55, P  < 0.01, 95% CI [0.58, 0.82]).

As demonstrated by both the results and the discussion, there are varying degrees of beneficial effects on students’ critical thinking from all seven moderating factors, which were found across 36 studies. In this context, the teaching type (chi 2  = 7.20, P  < 0.05), intervention duration (chi 2  = 12.18, P  < 0.01), subject area (chi 2  = 13.36, P  < 0.05), group size (chi 2  = 8.77, P  < 0.05), and learning scaffold (chi 2  = 9.03, P  < 0.01) all have a positive impact on critical thinking, and they can be viewed as important moderating factors that affect how critical thinking develops. Since the learning stage (chi 2  = 3.15, P  = 0.21 > 0.05) and measuring tools (chi 2  = 0.08, P  = 0.78 > 0.05) did not demonstrate any significant intergroup differences, we are unable to explain why these two factors are crucial in supporting the cultivation of critical thinking in the context of collaborative problem-solving.

Data availability

All data generated or analyzed during this study are included within the article and its supplementary information files, and the supplementary information files are available in the Dataverse repository: https://doi.org/10.7910/DVN/IPFJO6 .

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Acknowledgements

This research was supported by the graduate scientific research and innovation project of Xinjiang Uygur Autonomous Region named “Research on in-depth learning of high school information technology courses for the cultivation of computing thinking” (No. XJ2022G190) and the independent innovation fund project for doctoral students of the College of Educational Science of Xinjiang Normal University named “Research on project-based teaching of high school information technology courses from the perspective of discipline core literacy” (No. XJNUJKYA2003).

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Xu, E., Wang, W. & Wang, Q. The effectiveness of collaborative problem solving in promoting students’ critical thinking: A meta-analysis based on empirical literature. Humanit Soc Sci Commun 10 , 16 (2023). https://doi.org/10.1057/s41599-023-01508-1

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Creativity, Critical Thinking, Communication, and Collaboration: Assessment, Certification, and Promotion of 21st Century Skills for the Future of Work and Education

Branden thornhill-miller.

1 Faculty of Philosophy, University of Oxford, Oxford OX2 6GG, UK

2 International Institute for Competency Development, 75001 Paris, France

Anaëlle Camarda

3 LaPEA, Université Paris Cité and Univ Gustave Eiffel, 92100 Boulogne-Billancourt, France

4 Institut Supérieur Maria Montessori, 94130 Nogent-Sur-Marne, France

Maxence Mercier

Jean-marie burkhardt.

5 LaPEA, Univ Gustave Eiffel and Université Paris Cité, CEDEX, 78008 Versailles, France

Tiffany Morisseau

6 Strane Innovation, 91190 Gif-sur-Yvette, France

Samira Bourgeois-Bougrine

Florent vinchon, stephanie el hayek.

7 AFNOR International, 93210 Saint-Denis, France

Myriam Augereau-Landais

Florence mourey, cyrille feybesse.

8 Centre Hospitalier Guillaume Regnier, Université de Rennes 1, 35200 Rennes, France

Daniel Sundquist

Todd lubart, associated data.

Not Applicable.

This article addresses educational challenges posed by the future of work, examining “21st century skills”, their conception, assessment, and valorization. It focuses in particular on key soft skill competencies known as the “4Cs”: creativity, critical thinking, collaboration, and communication. In a section on each C, we provide an overview of assessment at the level of individual performance, before focusing on the less common assessment of systemic support for the development of the 4Cs that can be measured at the institutional level (i.e., in schools, universities, professional training programs, etc.). We then present the process of official assessment and certification known as “labelization”, suggesting it as a solution both for establishing a publicly trusted assessment of the 4Cs and for promoting their cultural valorization. Next, two variations of the “International Institute for Competency Development’s 21st Century Skills Framework” are presented. The first of these comprehensive systems allows for the assessment and labelization of the extent to which development of the 4Cs is supported by a formal educational program or institution. The second assesses informal educational or training experiences, such as playing a game. We discuss the overlap between the 4Cs and the challenges of teaching and institutionalizing them, both of which may be assisted by adopting a dynamic interactionist model of the 4Cs—playfully entitled “Crea-Critical-Collab-ication”—for pedagogical and policy-promotion purposes. We conclude by briefly discussing opportunities presented by future research and new technologies such as artificial intelligence and virtual reality.

1. Introduction

There are many ways of describing the massive educational challenges faced in the 21st century. With the appearance of computers and digital technologies, new means of interacting between people, and a growing competitiveness on the international level, organizations are now requiring new skills from their employees, leaving educational systems struggling to provide appropriate ongoing training. Indeed, according to the World Economic Forum’s 2020 “Future of Jobs Report”, studying 15 industries in 26 advanced and emerging countries, up to 50% of employees will need some degree of “reskilling” by 2025 ( World Economic Forum 2020 ). Although many national and international educational efforts and institutions now explicitly put the cultivation of new kinds of skills on their educational agendas, practical means of assessing such skills remains underdeveloped, thus hampering the valorization of these skills and the development of guidance for relevant pedagogy ( Care et al. 2018 ; Vincent-Lancrin et al. 2019 ; for overviews and discussion of higher education in global developmental context, see Blessinger and Anchan 2015 ; Salmi 2017 ).

This article addresses some of these challenges and related issues for the future of education and work, by focusing on so-called “21st Century Skills” and key “soft skills” known as the “4Cs” (creativity, critical thinking, communication, and collaboration), more particularly. It begins with a brief discussion of these skills, outlining their conceptual locations and potential roles in the modern educational context. A section on each “C” then follows, defining the C, summarizing research and methods for its scientific assessment at the individual level, and then outlining some means and avenues at the systemic level for fostering its development (e.g., important aspects of curriculum, institutional structure, or of the general environment, as well as pedagogical methods) that might be leveraged by an institution or program in order to promote the development of that C among its students/trainees. In the next section, the certification-like process of “labelization” is outlined and proposed as one of the best available solutions both for valorizing the 4Cs and moving them towards the center of the modern educational enterprise, as well as for benchmarking and monitoring institutions’ progress in fostering their development. The International Institute for Competency Development’s 4Cs Framework is then outlined as an example of such a comprehensive system for assessing and labelizing the extent to which educational institutions and programs support the development of the 4Cs. We further demonstrate the possibility of labelizing and promoting support for the development of the 4Cs by activities or within less formal educational settings, presenting a second framework for assessment of the 4Cs in games and similar training activities. Our discussion section begins with the challenges to implementing educational change in the direction of 21st century skills, focusing on the complex and overlapping nature of the 4Cs. Here, we propose that promoting a “Dynamic Interactionist Model of the 4Cs” not only justifies grouping them together, but it might also assist more directly with some of the challenges of pedagogy, assessment, policy promotion, and ultimately, institutionalization, faced by the 4Cs and related efforts to modernize education. We conclude by suggesting some important future work for the 4Cs individually and also as an interrelated collective of vital skills for the future of education and work.

“21st Century Skills”, “Soft Skills”, and the “4Cs”

For 40 years, so-called “21st century skills” have been promoted as those necessary for success in a modern work environment that the US Army War College ( Barber 1992 ) has accurately described as increasingly “VUCA”—“volatile, uncertain, complex and ambiguous”. Various lists of skills and competencies have been formulated on their own or as part of comprehensive overarching educational frameworks. Although a detailed overview of this background material is outside the scope of this article (see Lamri et al. 2022 ; Lucas 2022 for summaries), one of the first prominent examples of this trend was the Partnership for 21st Century Skills (P21), whose comprehensive “Framework for 21st Century Learning” is presented in Figure 1 ( Battelle for Kids 2022 ). This framework for future-oriented education originated the idea of the “4Cs”, placing them at its center and apex as “Learning and Innovation Skills” that are in need of much broader institutional support at the foundational level in the form of new standards and assessments, curriculum and instructional development, ongoing professional development, and appropriately improved learning environments ( Partnership for 21st Century Skills 2008 ). These points are also consistent with the approach and assessment frameworks presented later in this article.

The P21 Framework for 21st Century Learning. (© 2019, Battelle for Kids. All Rights Reserved. https://www.battelleforkids.org/ ; accessed on 17 January 2023).

Other important organizations such as the World Economic Forum ( 2015 ) have produced similar overarching models of “21st century skills’’ with the 4Cs at their center, but the term “21st century skills’’ has been rightly criticized for a several reasons: the skills referred to are not actually all unique to, or uniquely important to, the 21st century, and it is a term that is often used more as an advertising or promotional label for systems that sometimes conflate and confuse different kinds of skills with other concepts that users lump together ( Lucas 2019 ). Indeed, though there is no absolute consensus on the definition of a “skill”, they are often described as being multidimensional and involve the ability to solve problems in context and to perform tasks using appropriate resources at the right time and in the right combination ( Lamri and Lubart 2021 ). At its simplest, a skill is a “learned capacity to do something useful” ( Lucas and Claxton 2009 ), or an ability to perform a given task at a specified performance level, which develops through practice, experience. and training ( Lamri et al. 2022 ).

The idea of what skills “are’’, however, has also evolved to some extent over time in parallel to the nature of the abilities required to make valued contributions to society. The digital and information age, in particular, has seen the replacement by machines of much traditional work sometimes referred to as “hard skills’’—skills such as numerical calculation or driving, budget-formulating, or copyediting abilities, which entail mastery of fixed sets of knowledge and know-how of standard procedures, and which are often learned on the job. Such skills are more routine, machine-related, or technically oriented and not as likely to be centered on human interaction. In contrast, the work that has been increasingly valued in the 21st century involves the more complex, human interactive, and/or non-routine skills that Whitmore ( 1972 ) first referred to as “soft skills”.

Unfortunately, researchers, educators, and consultants have defined, redefined, regrouped, and expanded soft skills—sometimes labeling them “transversal competencies”, “generic competencies”, or even “life skills” in addition to “21st century skills”—in so many different ways within and across different domains of research and education (as well as languages and national educational systems) that much progress towards these goals has literally been “lost in translation” ( Cinque 2016 ).

Indeed, there is also a long-standing ambiguity and confusion between the terms “competency” (also competence) and “skill” due to their use across different domains (e.g., learning research, education, vocational training, personnel selection) as well as different epistemological backgrounds and cultural specificities ( Drisko 2014 ; Winterton et al. 2006 ; van Klink and Boon 2003 ). The term “competency” is, however, often used as a broader concept that encompasses skills, abilities, and attitudes, whereas, in a narrower sense, the term “skill” has been defined as “goal-directed, well-organized behavior that is acquired through practice and performed with economy of effort” ( Proctor and Dutta 1995, p. 18 ). For example, whereas the command of a spoken language or the ability to write are skills (hard skills, to be precise), the ability to communicate effectively is a competence that may draw on an individual’s knowledge of language, writing skills, practical IT skills, and emotional intelligence, as well as attitudes towards those with whom one is communicating ( Rychen and Hersch 2003 ). Providing high-quality customer service is a competency that relies on listening skills, social perception skills, and contextual knowledge of products. Beyond these potential distinctions, the term “competency” is predominant in Europe, whereas “skill” is more commonly used in the US. Yet it also frequently occurs that both are used as rough synonyms. For example, Voogt and Roblin ( 2012, p. 299 ) examine the “21st century competences and the recommended strategies for the implementation of these skills”, and Graesser et al. ( 2022, p. 568 ) state that twenty-first-century skills “include self-regulated learning, collaborative problem solving, communication (…) and other competencies”. In conclusion, the term “competencies” is often used interchangeably with “skills” (and can have a particularly large overlap with “soft skills”), but it is also often considered in a broader sense as a set of skills, knowledge, and attitudes that, together, meet a complex demand ( Ananiadoui and Claro 2009 ). From this perspective, one could argue that the 4Cs, as complex, “higher-order” soft skills, might best be labeled competencies. For ease and convenience, however, in this text, we consider the two terms interchangeable but favor the term “skills”, only using “competency” in some instances to avoid cumbersome repetition.

Even having defined soft skills as a potentially more narrow and manageable focus, we are still aware of no large-scale study that has employed a comprehensive enough range of actual psychometric measures of soft skills in a manner that might help produce a definitive empirical taxonomy. Some more recent taxonomic efforts have, however, attempted to provide additional empirical grounding for the accurate identification of key soft skills (see e.g., Joie-La Marle et al. 2022 ). Further, recent research by JobTeaser (see Lamri et al. 2022 ) surveying a large, diverse sample of young workers about a comprehensive, systematic list of soft skills as actually used in their professional roles represents a good step towards some clarification and mapping of this domain on an empirical basis. Despite the fact that both these studies necessarily involved assumptions and interpretive grouping of variables, the presence and importance of the 4Cs as higher-order skills is evident in both sets of empirical results.

Various comprehensive “21st century skills” systems proposed in the past without much empirical verification also seem to have been found too complex and cumbersome for implementation. The 4Cs, on the other hand, seem to provide a relatively simple, persuasive, targetable core that has been found to constitute a pedagogically and policy-friendly model by major organizations, and that also now seems to be gaining some additional empirical validity. Gathering support from researchers and industry alike, we suggest that the 4Cs can be seen as highest-level transversal skills—or “meta-competencies”—that allow individuals to remain competent and to develop their potential in a rapidly changing professional world. Thus, in the end, they may also be one of the most useful ways of summarizing and addressing the critical challenges faced by the future of work and education ( National Education Association 2011 ).

Taking them as our focus, we note, however, that the teaching and development of the 4Cs will require a complex intervention and mobilization of educational and socio-economic resources—both a major shift in pedagogical techniques and even more fundamental changes in institutional structures ( Ananiadoui and Claro 2009 ). One very important issue for understanding the 4Cs and their educational implementation related to this, which can simultaneously facilitate their teaching but be a challenge for their assessment, is the multidimensionality, interrelatedness, and transdisciplinary relevance of the 4Cs. Thus, we address the relationships between the Cs in the different C sections and later in our Discussion, we present a “Dynamic Interactionist Model of the 4Cs’’ that we hope will assist in their understanding, in the further development of pedagogical processes related to them, and in their public promotion and related policy. Ultimately, it is partly due to their complexity and interrelationships, we argue, that it is important and expedient that the 4Cs are taught, assessed, and promoted together.

2. The 4Cs, Assessment, and Support for Development

2.1. creativity.

In psychology, creativity is usually defined as the capacity to produce novel, original work that fits with task constraints and has value in its context (for a recent overview, see Lubart and Thornhill-Miller 2019 ). This basic definition, though useful for testing and measurement, is largely incomplete, as it does not contain any information about the individual or groups doing the creating or the nature of physical and social contexts ( Glăveanu 2014 ). Moreover, Corazza ( 2016 ) challenged this standard definition of creativity, arguing that as it focuses solely on the existence of an original and effective outcome, it misses the dynamics of the creative process, which is frequently associated with periods of creative inconclusiveness and limited occasions of creative achievements. To move away from the limitations of the standard definition of creativity, we can consider Bruner’s description of creativity as “figuring out how to use what you already know in order to go beyond what you currently think” (p. 183 in Weick 1993 ). This description echoes the notion of potential, which refers to a latent state that may be put to use if a person has the opportunity.

Creativity is a multifaceted phenomenon that can be approached from many different angles. There are three main frameworks for creativity studies: the 4Ps ( Rhodes 1961 ), the 5As ( Glăveanu 2013 ), and the 7Cs model ( Lubart 2017 ). These frameworks share at least four fundamental and measurable dimensions: the act of creating (process), the outcome of the creative process (product), the characteristics of creative actor(s) enacting the process (person), and the social and physical environment that enable or hinder the creative process (press). Contrary to many traditional beliefs, however, creativity can be trained and taught in a variety of different ways, both through direct, active teaching of creativity concepts and techniques and through more passive and indirect means such as the development of creativity-supporting contexts ( Chiu 2015 ; Thornhill-Miller and Dupont 2016 ). Alongside intelligence, with which it shares some common mechanisms, creativity is now recognized as an indispensable element for the flexibility and adaptation of individuals in challenging situations ( Sternberg 1986 ).

2.1.1. Individual Assessment of Creativity

Drawing upon previous efforts to structure creativity research, Batey ( 2012 ) proposed a taxonomic framework for creativity measurement that takes the form of a three-dimensional matrix: (a) the level at which creativity may be measured (the individual, the team, the organization, and the culture), (b) the facets of creativity that may be assessed (person/trait, process, press, and product), and (c) the measurement approach (objective, self-rating, other ratings). It is beyond the scope of this article to offer a literature review of all these dimensions, but for the purposes of this paper, we address some important aspects of individual-level and institutional-level assessment here.

Assessing creativity at an individual level encompasses two major approaches: (1) creative accomplishment based on production and (2) creative potential. Regarding the first approach focusing on creative accomplishment , there are at least four main assessment techniques (or tools representing variations of assessment techniques): (a) the historiometric approach, which applies quantitative analysis to historically available data (such as the number of prizes won or times cited) in an effort to understand eminent, field-changing creativity ( Simonton 1999 ); (b) the Consensual Assessment Technique (CAT) ( Amabile 1982 ), which offers a method for combining and validating judges’ subjective evaluations of a set of (potentially) creative productions or ideas; (c) the Creative Achievement Questionnaire ( Carson et al. 2005 ), which asks individuals to supply a self-reported assessment of their publicly recognizable achievement in ten different creative domains; and (d) the Inventory of Creative Activities and Achievements (ICAA) ( Jauk et al. 2014 ; Diedrich et al. 2018 ), which includes self-report scales assessing the frequency of engagement in creative activity and also levels of achievement in eight different domains.

The second major approach to individual assessment is based on creative potential, which measures the cognitive abilities and/or personality traits that are important for creative work. The two most popular assessments of creative potential are the Remote Associations Test (RAT) and the Alternative Uses Task (AUT). The RAT, which involves identifying the fourth word that is somehow associated with each of three given words, underscores the role that the ability to convergently associate disparate ideas plays as a key capacity for creativity. In contrast, the AUT, which requires individuals to generate a maximum number of ideas based on a prompt (e.g., different uses for a paperclip), is used to assess divergent thinking capacity. According to multivariate models of creative potential ( Lubart et al. 2013 ), there are cognitive factors (e.g., divergent thinking, mental flexibility, convergent thinking, associative thinking, selective combination), conative factors (openness, tolerance of ambiguity, intuitive thinking, risk taking, motivation to create), and environmental factors that all support creativity. Higher creative potential is predicted by having more of the ingredients for creativity. However, multiple different profiles among a similar set of these important ingredients exist, and their weighting for optimal creative potential varies according to the profession, the domain, and the task under consideration. For example, Lubart and Thornhill-Miller ( 2021 ) and Lubin et al. ( forthcoming ) have taken this creativity profiling approach, exploring the identification and training of the components of creative potential among lawyers and clinical psychologists, respectively. For a current example of this sort of comprehensive, differentiated measurement of creative potential in adults in different domains and professions, see CreativityProfiling.org. For a recent battery of tests that are relevant for children, including domain-relevant divergent-exploratory and convergent-integrative tasks, see Lubart et al. ( 2019 ). Underscoring the growing recognition of the importance of creativity assessment, measures of creative potential for students were introduced internationally for the first time in the PISA 2022 assessment ( OECD 2019a ).

2.1.2. Institutional and Environmental Support for Development of Creativity

The structural support that institutions and programs can provide to promote the development of creativity can be described as coming through three main paths: (1) through design of the physical environment in a manner that supports creativity, (2) through teaching about creativity, the creative process, and creativity techniques, and (3) through training opportunities to help students/employees develop personal habits, characteristics, and other ingredients associated with creative achievement and potential.

Given the multi-dimensionality of the notion of creativity, the environment can positively influence and help develop creative capacities. Studies have shown that the physical environment in which individuals work can enhance their positive emotions and mood and thus their creativity. For example, stimulating working environments might have unusual furniture and spaces that have natural light, windows open to nature, plants and flowers, a relaxing atmosphere and colors in the room (e.g., green and blue), or positive sounds (e.g., calm music or silence), as well as inspiring and energizing colors (e.g., yellow, pink, orange). Furthermore, the arrangement of physical space to promote interpersonal exchange rather than isolation, as well as the presence of tools, such as whiteboards, that support and show the value of exchange, are also important (for reviews, see Dul and Ceylan 2011 ; Samani et al. 2014 ).

Although it has been claimed that “creativity is intelligence having fun” ( Scialabba 1984 ; Reiman 1992 ), for most people, opportunities for fun and creativity, especially in their work environment, appear rather limited. In fact, the social and physical environment often hinders creativity. Corazza et al. ( 2021 )’s theoretical framework concerning the “Space-Time Continuum”, related to support for creativity, suggests that traditional education systems are an example of an environment that is “tight” both in the conceptual “space” it affords for creativity and in the available time allowed for creativity to happen—essentially leaving little room for original ideas to emerge. Indeed, though world-wide data suggest that neither money nor mere time spent in class correlate well with educational outcomes, both policies and pedagogy that direct the ways in which time is spent make a significant difference ( Schleicher 2022 ). Research and common sense suggest that teachers, students, and employees need more space and time to invest energy in the creative process and the development of creative potential.

Underscoring the importance of teaching the creative process and creativity techniques is the demonstration, in a number of contexts, that groups of individuals who generate ideas without a specific method are often negatively influenced by their social environment. For example, unless guarded against, the presence of others tends to reduce the number of ideas generated and to induce a fixation on a limited number of ideas conforming to those produced by others ( Camarda et al. 2021 ; Goldenberg and Wiley 2011 ; Kohn and Smith 2011 ; Paulus and Dzindolet 1993 ; Putman and Paulus 2009 ; Rietzschel et al. 2006 ). To overcome these cognitive and social biases, different variants of brainstorming techniques have shown positive effects (for reviews of methods, see Al-Samarraie and Hurmuzan 2018 ; Paulus and Brown 2007 ). These include: using ( Osborn 1953 ) initial brainstorming rules (which aim to reduce spontaneous self-judgment of ideas and fear of this judgment by others); drawing attention to ideas generated by others by writing them down independently (e.g., the technique known as “brainwriting”); and requiring incubation periods between work sessions by forcing members of a problem-solving group to take breaks ( Paulus and Yang 2000 ; Paulus and Kenworthy 2019 ).

It is also possible to use design methods that are structured to guide the creative process and the exploration of ideas, as well as to avoid settling on uncreative solution paths ( Chulvi et al. 2012 ; Edelman et al. 2022 ; Kowaltowski et al. 2010 ; see Cotter et al. 2022 for a valuable survey of best practices for avoiding the suppression of creativity and fostering creative interaction and metacognition in the classroom). Indeed, many helpful design thinking-related programs now exist around the world and have been shown to have a substantial impact on creative outcomes ( Bourgeois-Bougrine 2022 ).

Research and experts suggest the utility of many additional creativity enhancement techniques (see, e.g., Thornhill-Miller and Dupont 2016 ), and the largest and most rapid effects are often attributed to these more method- or technique-oriented approaches ( Scott et al. 2004 ). More long-term institutional and environmental support for the development of creativity, however, should also include targeted training and understanding of personality and emotional traits associated with the “creative person” (e.g., empathy and exploratory habits that can expand knowledge, as well as increase tolerance of ambiguity, openness, and mental flexibility; see Lubart and Thornhill-Miller 2021 ). Complementing these approaches and focusing on a more systemic level, recent work conducted by the OECD exemplifies efforts aimed to foster creativity (and critical thinking) by focusing simultaneously on curriculum, educational activities, and teacher support and development at the primary, secondary, and higher education levels (see Vincent-Lancrin et al. 2019 ; Saroyan 2022 ).

2.2. Critical Thinking

Researchers, teachers, employers, and public policymakers around the world have long ranked the development of critical thinking (CT) abilities as one of the highest educational priorities and public needs in modern democratic societies ( Ahern et al. 2019 ; Dumitru et al. 2018 ; Pasquinelli et al. 2021 ). CT is central to better outcomes in daily life and general problem solving ( Hitchcock 2020 ), to intelligence and adaptability ( Halpern and Dunn 2021 ), and to academic achievement ( Ren et al. 2020 ). One needs to be aware of distorted or erroneous information in the media, of the difference between personal opinions and proven facts, and how to handle increasingly large bodies of information required to understand and evaluate information in the modern age.

Although much research has addressed both potentially related constructs, such as intelligence and wisdom, and lists of potential component aspects of human thought, such as inductive or deductive reasoning (for reviews of all of these, see Sternberg and Funke 2019 ), reaching a consensus on a definition has been difficult, because CT relies on the coordination of many different skills ( Bellaera et al. 2021 ; Dumitru et al. 2018 ) and is involved in, and sometimes described from the perspective of, many different domains ( Lewis and Smith 1993 ). Furthermore, as a transversal competency, having the skills to perform aspects of critical thinking in a given domain does not necessarily entail also having the metacognitive ability to know when to engage in which of its aspects, or having the disposition, attitude, or “mindset” that motivates one to actually engage in them—all of which are actually required to be a good critical thinker ( Facione 2011 ).

As pointed out by the American Philosophical Association’s consensus definition, the ideal “critical thinker” is someone who is inquisitive, open-minded, flexible, fair-minded, and keeps well-informed, thus understanding different points of view and perspectives ( Facione 1990b ). These characteristics, one might note, are also characteristic of the “creative individual” ( Facione 1990b ; Lai 2011 ), as is the ability to imagine alternatives, which is often cited as a component of critical thinking ability ( Facione 1990b ; Halpern 1998 ). Conversely, creative production in any domain needs to be balanced by critical appraisal and thought at each step of the creative process ( Bailin 1988 ). Indeed, it can be argued that creativity and critical thinking are inextricably linked and are often two sides of the same coin. Representing different aspects of “good thought” that are linked and develop in parallel, it seems reasonable that they should, in practice, be taught and considered together in teaching and learning ( Paul and Elder 2006 ).

Given its complexity, many definitions of critical thinking have been offered. However, some more recent work has helpfully defined critical thinking as “the capacity of assessing the epistemic quality of available information and—as a consequence of this assessment—of calibrating one’s confidence in order to act upon such information” ( Pasquinelli et al. 2021 ). This definition, unlike others proposed in the field (for a review, see: Bellaera et al. 2021 ; Liu et al. 2014 ), is specific (i.e., it limits the use of poorly defined concepts), as well as consensual and operational (i.e., it has clear and direct implications for the education and assessment of critical thinking skills; Pasquinelli et al. 2021 ; Pasquinelli and Bronner 2021 ). Thus, this approach assumes that individuals possess better or worse cognitive processes and strategies that make it possible to judge the reliability of the information received, by determining, for example, what the arguments provided actually are. Are the arguments convincing? Is the source of information identifiable and reliable? Does the information conflict with other information held by the individual?

It should also be noted that being able to apply critical thinking is necessary to detect and overcome the cognitive biases that can constrain one’s reasoning. Indeed, when solving a problem, it is widely recognized that people tend to automate the application of strategies that are usually relevant in similar and analogous situations that have already been encountered. However, these heuristics (i.e., automatisms) can be a source of errors, in particular, in tricky reasoning situations, as demonstrated in the field of reasoning, arithmetic problems ( Kahneman 2003 ) or even divergent thinking tasks ( Cassotti et al. 2016 ; for a review of biases, see Friedman 2017 ). Though some cognitive biases can even be seen as normal ways of thinking and feeling, sometimes shaping human beliefs and ideologies in ways that make it completely normal—and even definitely human— not to be objective (see Thornhill-Miller and Millican 2015 ), the mobilization of cognitive resources such as those involved in critical reasoning on logical bases usually makes it possible to overcome cognitive biases and adjust one’s reasoning ( West et al. 2008 ).

According to Pasquinelli et al. ( 2021 ), young children already possess cognitive functions underlying critical thinking, such as the ability to determine that information is false. However, until late adolescence, studies have demonstrated an underdevelopment of executive functions involved in resistance to biased reasoning ( Casey et al. 2008 ) as well as some other higher-order skills that underlie the overall critical thinking process ( Bloom 1956 ). According to Facione and the landmark American Philosophical Association’s task force on critical thinking ( Facione 1990b ; Facione 2011 ), these components of critical thinking can be organized into six measurable skills: the ability to (1) interpret information (i.e., meaning and context); (2) analyze information (i.e., make sense of why this information has been provided, identify pro and con arguments, and decide whether we can accept the conclusion of the information); (3) make inferences (i.e., determine the implications of the evidence, its reliability, the undesirable consequences); (4) evaluate the strength of the information (i.e., its credibility, determine the trust in the person who provides it); (5) provide explanations (i.e., summarize the findings, determine how the information can be interpreted, and offer verification of the reasoning); (6) self-regulate (i.e., evaluate the strength of the methods applied, determine the conflict between different conclusions, clarify the conclusions, and verify missing elements).

2.2.1. Individual Assessment of Critical Thinking

The individual assessment of critical thinking skills presents a number of challenges, because it is a multi-task ability and involves specific knowledge in the different areas in which it is applied ( Liu et al. 2014 ; Willingham 2008 ). However, the literature provides several tools with which to measure different facets of cognitive functions and skills involved in the overarching critical thinking process ( Lai 2011 ; Liu et al. 2014 ). Most assessments involve multiple-choice questions requiring reasoning within a particular situation based upon a constrained set of information provided. For example, in one of the most widely used tests, the California Critical Thinking Skills Test ( Facione 1990a ), participants are provided with everyday scenarios and have to answer multiple questions targeting the six higher-order skills described previously. Similarly, the Watson–Glaser Critical Thinking Appraisal ( Watson 1980 ; Watson and Glaser 2010 ) presents test takers with passages and scenarios measuring their competencies at recognizing assumptions, evaluating arguments, and drawing conclusions. Although the Watson–Glaser is one of the oldest and most frequently used assessments internationally for hiring and promotion in professional contexts, its construct validity, like many other measures of this challenging topic, has some limitations ( Possin 2014 ).

Less frequently, case study or experiential methods of assessment are also used. This approach may involve asking participants to reflect on past experiences, analyze the situations they faced and the way they behaved or made judgments and decisions and then took action ( Bandyopadhyay and Szostek 2019 ; Brookfield 1997 ). These methods, often employed by teachers or employers on students and employees, usually involve the analysis of qualitative data that can cast doubt on the reliability of the results. Consequently, various researchers have suggested ways to improve analytic methods, and they emphasize the need to create more advanced evaluation methods ( Brookfield 1997 ; Liu et al. 2014 ).

For example, Liu et al. ( 2014 ) reviewed current assessment methods and suggest that future work improves the operational definition of critical thinking, aiming to assess it both in different specific contexts and in different formats. Specifically, assessments could be contextualized within the major areas addressed by education programs (e.g., social sciences, humanities, and/or natural sciences), and the tasks themselves should be as practically connected to the “real world” as possible (e.g., categorizing a set of features, opinions, or facts based on whether or not they support an initial statement). Moreover, as Brookfield ( 1997 ) argues, because critical thinking is a social process that takes place in specific contexts of knowledge and culture, it should be assessed as a social process, therefore, involving a multiplicity of experiences, perceptions, and contributions. Thus, Brookfield makes three recommendations for improving the assessment of critical thinking that are still relevant today: (1) to assess critical thinking in specific situations, so one can study the process and the discourse related to it; (2) to involve students/peers in the evaluation of critical thinking abilities, so that the evaluation is not provided only by the instructor; and (3) to allow learners or participants in an experiment to document, demonstrate, and justify their engagement in critical thinking, because this learning perspective can provide insight into basic dimensions of the critical thinking process.

Finally, another more recent and less widely used form of assessment targets the specific executive functions that underlie logical reasoning and resistance to cognitive biases, as well as the ability of individuals to resist these biases. This form of assessment is usually done through specific experimental laboratory tasks that vary depending on the particular executive function and according to the domain of interest ( Houdé and Borst 2014 ; Kahneman 2011 ; West et al. 2008 ).

2.2.2. Institutional and Environmental Support for Development of Critical Thinking Skills

The executive functions underlying general critical thinking, the ability to overcome bias ( Houdé 2000 ; Houdé and Borst 2014 ), and meta-cognitive processes (i.e., meta information about our cognitive strategies) can all be trained and enhanced by educational programs ( Abrami et al. 2015 ; Ahern et al. 2019 ; Alsaleh 2020 ; Bellaera et al. 2021 ; Uribe-Enciso et al. 2017 ; Popil 2011 ; Pasquinelli and Bronner 2021 ; Yue et al. 2017 ).

Educational programs and institutions can support the development of critical thinking in several different ways. The process of developing critical thinking focuses on the interaction between personal dispositions (attitudes and habits), skills (evaluation, reasoning, self-regulation), and finally, knowledge (general and specific knowledge, as well as experience) ( Thomas and Lok 2015 ). It is specifically in regard to skills and knowledge that institutions are well suited to develop critical thinking through pedagogical elements such as rhetoric training, relevance of information evaluation (e.g., media literacy, where and how to check information on the internet, dealing with “fake news”, etc.), deductive thinking skills, and inductive reasoning ( Moore and Parker 2016 ). A few tools, such as case studies or concept mapping, can also be used in conjunction with a problem-based learning method, both in individual and team contexts and in person or online ( Abrami et al. 2015 ; Carmichael and Farrell 2012 ; Popil 2011 ; Thorndahl and Stentoft 2020 ). According to Marin and Halpern ( 2011 ), training critical thinking should include explicit instruction involving at least the four following components and objectives: (1) working on attitudes and encouraging individuals to think; (2) teaching and practicing critical thinking skills; (3) training for transfer between contexts, identifying concrete situations in which to adopt the strategies learned; and (4) suggesting metacognition through reflection on one’s thought processes. Supporting these propositions, Pasquinelli and Bronner ( 2021 ), in a French national educational report, proposed practical advice for creating workshops to stimulate critical thinking in school classrooms, which appear relevant even in non-school intervention situations. For example, the authors suggest combining concrete examples and exercises with general and abstract explanations, rules and strategies, which can be transferred to other areas beyond the one studied. They also suggest inviting learners to create examples of situations (e.g., case studies) in order to increase the opportunities to practice and for the learner to actively participate. Finally, they suggest making the process of reflection explicit by asking the learner to pay attention to the strategies adopted by others in order to stimulate the development of metacognition.

2.3. Communication

In its most basic definition, communication consists of exchanging information to change the epistemic context of others. In cooperative contexts, it aims at the smooth and efficient exchange of information contributing to the achievement of a desired outcome or goal ( Schultz 2010 ). But human communication involves multiple dimensions. Both verbal and non-verbal communication can involve large quantities of information that have to be both formulated and deciphered with a range of purposes and intentions in mind ( Jones and LeBaron 2002 ). These dimensions of communication have as much to do with the ability to express oneself, both orally and in writing and the mastering of a language (linguistic competences), as with the ability to use this communication system appropriately (pragmatic skills; see Grassmann 2014 ; Matthews 2014 ), and with social skills, based on the knowledge of how to behave in society and on the ability to connect with others, to understand the intentions and perspectives of others ( Tomasello 2005 ).

Like the other 4Cs, according to most authorities, communication skills are ranked by both students and teachers as skills of the highest priority for acquisition in order to be ready for the workforce in 2030 ( OECD 2019b ; Hanover Research 2012 ). Teaching students how to communicate efficiently and effectively in all the new modalities of information exchange is an important challenge faced by all pedagogical organizations today ( Morreale et al. 2017 ). All dimensions of communication (linguistic, pragmatic, and social) are part of what is taught in school curricula at different levels. But pragmatic and social competencies are rarely explicitly taught as such. Work on social/emotional intelligence (and on its role in students’ personal and professional success) shows that these skills are both disparate and difficult to assess ( Humphrey et al. 2007 ). Research on this issue is, however, becoming increasingly rigorous, with the potential to provide usable data for the development of science-based practice ( Keefer et al. 2018 ). Teachers and pedagogical teams also have an important, changing role to play: they also need to master new information and communication technologies and the transmission of information through them ( Zlatić et al. 2014 ).

Communication has an obvious link with the three other Cs. Starting with critical thinking, sound communication implies fostering the conditions for a communicative exchange directed towards a common goal, which is, at least in educational and professional contexts, based on a fair evaluation of reality ( Pornpitakpan 2004 ). Collaboration too has a strong link with communication, because successful collaboration is highly dependent on the quality of knowledge sharing and trust that emerges between group members. Finally, creativity involves the communication of an idea to an audience and can involve high-quality communication when creative work occurs in a team context.

2.3.1. Individual Assessment of Communication

Given the vast field of communication, an exhaustive list of its evaluation methods is difficult to establish. A number of methods have been reported in the literature to assess an individual’s ability to communicate non-verbally and verbally. But although these two aspects are intrinsically linked, they are rarely measured together with a single tool. Moreover, as Spitzberg ( 2003 ) pointed out, communication skills are supported by different abilities, classically conceptualized as motivational functions (e.g., confidence and goal-orientation), knowledge (e.g., content and procedural knowledge), or cognitive and socio-cognitive functions (e.g., theory of mind, verbal cognition, emotional intelligence, and empathy; McDonald et al. 2014 ; Rothermich 2020 ), implying different specific types of evaluations. Finally, producing vs. receiving communication involve different skills and abilities, which can also vary according to the context ( Landa 2005 ).

To overcome these challenges, Spitzberg ( 2003 ) recommends the use of different assessment criteria. These criteria include the clarity of interaction, the understanding of what was involved in the interaction, the satisfaction of having interacted (expected to be higher when communication is effective), the efficiency of the interaction (the more competent someone is, the less effort, complexity, and resources will be needed to achieve their goal), its effectiveness or appropriateness (i.e., its relevance according to the context), as well as criteria relative to the quality of the dialogue (which involves coordination, cooperation, coherence, reciprocity, and mutuality in the exchange with others). Different forms of evaluation are also called for, such as self-reported questionnaires, hetero-reported questionnaires filled out by parents, teachers, or other observers, and tasks involving exposure to role-playing games, scenarios or videos (for a review of these assessment tools, see Cömert et al. 2016 ; Landa 2005 ; Sigafoos et al. 2008 ; Spitzberg 2003 ; van der Vleuten et al. 2019 ). Results from these tools must then be associated with others assessing underlying abilities, such as theory of mind and metacognition.

2.3.2. Institutional and Environmental Support for Development of Communication Skills

Although communication appears to be a key employability skill, the proficiency acquired during studies rarely meets the expectations of employers ( Jackson 2014 ). Communication must therefore become a priority in the training of students, beyond the sectors in which it is already known as essential (e.g., in medicine, nursing, engineering, etc.; Bourke et al. 2021 ; D’Alimonte et al. 2019 ; Peddle et al. 2018 ; Riemer 2007 ), and also through professional development ( Jackson 2014 ). Training programs involving, for example, communication theory classes ( Kruijver et al. 2000 ) and self-assessment tools that can be used in specific situations ( Curtis et al. 2013 ; Rider and Keefer 2006 ) have had convincingly positive results. The literature suggests that interactive approaches in small groups, in which competencies are practiced explicitly in an open and feedback-safe environment, are more effective ( Bourke et al. 2021 ; D’Alimonte et al. 2019 ; AbuSeileek 2012 ; Fryer-Edwards et al. 2006 ). These can take different forms: project-based work, video reviews, simulation or role-play games (see Hathaway et al. 2022 for a review; Schlegel et al. 2012 ). Finally, computer-assisted learning methods can be relevant for establishing a secure framework (especially, for example, when learning another language): anonymity indeed helps to overcome anxiety or social blockages linked to fear of public speaking or showing one’s difficulties ( AbuSeileek 2012 ). Each of these methods tackles one or more dimensions of communication that must then be assessed as such, by means of tools specifically developed and adapted to the contexts in which these skills are expressed (e.g., see the two 4Cs evaluation grids for institutions and for games outlined in Section 4 and Section 5 , below).

2.4. Collaboration

Collaborative problem solving—and more generally, collaboration—has gained increasing attention in national and international assessments (e.g., PISA) as an educational priority encompassing social, emotional, and cognitive skills critical to efficiency, effectiveness, and innovation in the modern global economy ( Graesser et al. 2018 ; OECD 2017 ). Understanding what makes effective collaboration is of crucial importance for professional practice and training ( Détienne et al. 2012 ; Graesser et al. 2018 ), as evidenced by the long line of research on group or team collaboration over the past 40 years (for a review, see e.g., Salas et al. 2004 ; Mathieu et al. 2017 ). Although there is no consensus on a definition of collaboration, scholars often see it as mutual engagement in a coordinated effort to achieve a common goal that involves the sharing of goals, resources, and representations relating to the joint activity of participants; and other important aspects relate to mutual respect, trust, responsibilities, and accountability within situational rules and norms ( Détienne et al. 2012 ).

In the teamwork research literature, skills are commonly described across three classes most often labeled Knowledge, Behavior, and Attitudes (e.g., Cannon-Bowers et al. 1995 ). Knowledge competencies refer to the skills related to elaborating the knowledge content required for the group to process and successfully achieve the task/goal to which they are assigned. Behavior includes skills related to the actualization of actions, coordination, communication, and interactions within the group as well as with any other relevant interlocutors for the task at hand. Note here that effective collaboration involves skills that have also been identified elsewhere as essential competencies, including communication, creativity, and critical thinking. Finally, several attitudes have been evidenced or hypothesized as desirable competencies in the team context, for example, attitude towards teamwork, collective orientation, cohesion/team morale, etc. Another common distinction lies between teamwork and taskwork. Teamwork refers to the collaborative, communicative, or social skills required to coordinate the work within the participants in order to achieve the task, whereas taskwork refers to specific aspects related to solving the task such as using the tools and knowing the procedure, policies, and any other task-related activities ( Salas et al. 2015 ; Graesser et al. 2018 ). Furthermore, collaborative competences can have specific (to a group of people or to a task) and general dimensions (i.e., easily transferable to any group or team situation and to other tasks). For example, skills related to communication, information exchange, conflict management, maintaining attention and motivation, leadership, etc. are present and transferable to a large number of group work situations and tasks (team-generic and task-contingent skills). Other skills can, on the other hand, be more specific to a team or group, such as internal organization, motivation, knowledge of the skills distributed in the team, etc.

2.4.1. Individual Assessment of Collaboration

Assessing collaboration requires capturing the dynamic and multi-level nature of the collaboration process, which is not as easily quantifiable as group/team inputs and outputs (task performance, satisfaction, and changes at group/team and individual level). There are indeed multiple interactions between the context, the collaboration processes, the task processes, and their (various) outcomes ( Détienne et al. 2012 ). The integrative concept of “quality of collaboration” ( Burkhardt et al. 2009 ) encapsulates much of what is currently known about collaborative processes and what constitutes effective collaboration. According to this approach, collaborative processes can be grouped along several dimensions concerning communication processes such as grounding, task-related processes (e.g., exchanges of knowledge relevant for the task at hand), and organization/coordination processes ( Burkhardt et al. 2009 ). Communication processes are most important for ensuring the construction of a common referential within a group of collaborators. Task-related processes relate to how the group resolves the task at hand by sharing and co-elaborating knowledge, by confronting their various perspectives, and by converging toward negotiated solutions. Collaboration also involves group management activities such as: (a) common goal management and coordination activities, e.g., allocation and planning of tasks; (b) meeting/interaction management activities, e.g., ordering and postponing of topics in the meeting. Finally, the ability to pursue reflexive activity, in the sense of reflecting not only on the content of a problem or solution but on one’s collaboration and problem-solving strategies, is critical for the development of the team and supports them in changing and improving their practices. Graesser et al. ( 2018 ) identify collaborative skills based on the combination of these dimensions with a step in the problem-solving process.

A large body of methodology developed to assess collaboration processes and collaborative tools has been focused on quantifying a restricted subset of fine-grained interactions (e.g., number of speakers’ turns; number of words spoken; number of interruptions; amount of grounding questions). This approach has at least two limitations. First, because these categories of analysis are often ad hoc with respect to the considered situation, they are difficult to apply in all situations and make it difficult to compare between studies. Second, quantitative variations of most of these indicators are non-univocal: any increase or decrease of them could signify either an interactive–intensive collaboration or else evidence of major difficulties in establishing and/or maintaining the collaboration ( Détienne et al. 2012 ). Alternatively, qualitative approaches based on multidimensional views of collaboration provide a more elaborated or nuanced view of collaboration and are useful for identifying potential relationships between distinctive dimensions of collaboration and aspects of team performance, in order to identify processes that could be improved. Based on the method of Spada et al. ( 2005 ) in Computer-Supported Collaborative Learning (CSCL) research, Burkhardt et al. ( 2009 ) have proposed a multi-dimensional rating scheme for evaluating the quality of collaboration (QC) in technology-mediated design. QC distinguishes seven dimensions, grouped along five aspects, identified as central for collaboration in a problem-solving task such as design: communication (1, 2), task-oriented processes (3, 4), group-oriented processes (5), symmetry in interaction—an orthogonal dimension—(6), and individual task orientation (7). This method has recently been adapted for use in the context of assessing games as a support to collaborative skills learning.

2.4.2. Institutional and Environmental Support for Development of Collaboration and Collaborative Skills

Support for individuals’ development of collaborative skills provided by institutions and programs can take a variety of forms: (a) through the social impact of the physical structure of the organization, (b) the nature of the work required within the curriculum, (c) content within the curriculum focusing on collaboration and collaborative skills, and (d) the existence and promotion of extracurricular and inter-institutional opportunities for collaboration.

For instance, institutional support for collaboration has taken a variety of forms in various fields such as healthcare, engineering, public participation, and education. Training and education programs such as Interprofessional Education or Team Sciences in the health domain ( World Health Organization 2010 ; Hager et al. 2016 ; O’Carroll et al. 2021 ), Peer-Led Team Learning in chemistry and engineering domains ( Wilson and Varma-Nelson 2016 ), or Collaborative Problem Solving in education ( Peña-López 2017 ; Taddei 2009 ) are notable examples.

Contextual support recently arose from the deployment of online digital media and new mixed realities in the workplace, in the learning environments and in society at large—obviously stimulated and accentuated with the COVID-19 pandemic. This has led many organizations to invest in proposing support for synchronous and asynchronous collaboration (notably remote, between employees, between students and educators or within group members, etc.) in various ways, including the provision of communication hardware and software, computer-supported cooperative work and computer-supported collaborative learning platforms, training and practical guides, etc. Users can collaborate through heterogeneous hybrid collaborative interaction spaces that can be accessed through virtual or augmented reality, but also simple video conferencing or even a voice-only or text-only interface. These new spaces for collaboration are, however, often difficult to use and less satisfactory than face-to-face interactions, suggesting the need for more research on collaborative activities and on how to support them ( Faidley 2018 ; Karl et al. 2022 ; Kemp and Grieve 2014 ; Singh et al. 2022 ; Waizenegger et al. 2020 ).

A substantive body of literature on teams, collaborative learning, and computer-supported technologies provides evidence related to individual, contextual, and technological factors impacting the collaboration quality and efficiency. For example, teacher-based skills that are critical for enhancing collaboration are, among others, the abilities to plan, monitor, support, consolidate, and reflect upon student interaction in group work ( Kaendler et al. 2016 ). Research focuses also on investigating the most relevant tasks and evaluating the possibilities offered by technology to support, to assess (e.g., Nouri et al. 2017 ; Graesser et al. 2018 ), and/or to learn the skills involved in pursuing effective and satisfying collaboration (see e.g., Schneider et al. 2018 ; Doyle 2021 ; Ainsworth and Chounta 2021 ).

3. Labelization: Valorization of the 4Cs and Assessing Support for Their Development

Moving from the nature of the 4Cs and their individual assessment and towards the ways in which institutions can support their development in individuals, we can now address the fundamentally important question of how best to support and promote this 21st century educational mission within and among institutions themselves. This also raises the question of the systemic recognition of educational settings that are conducive to the development of the 4Cs. In response to these questions, the nature and value of labelization is now presented.

A label is “a special mark created by a trusted third party and displayed on a product intended for sale, to certify its origin, to guarantee its quality and to ensure its conformity with the standards of practices in force” ( Renard 2005 ). A label is therefore a way of informing the public about the objective properties and qualities of a product, service, or system. The label is usually easily identifiable and can be seen as a proof that a product or service, a company, or an organization complies with defined criteria. Its effectiveness is therefore closely linked to the choice of requirements set out in its specifications, as well as to the independence and rigor of the body that verifies compliance with the criteria.

3.1. Labeling as a Means of Trust and Differentiation

As a sign of recognition established by a third party, the label or certification can constitute a proof of trust aiming to reassure the final consumer. According to Sutter ( 2005 ), there are different means of signaling trust. First, the brand name of a product or service and its reputation can, in itself, constitute a label when this brand name is recognized on the market. Second, various forms of self-declaration, such as internal company charters, though not statements assessed by a third party, show an internal commitment that can provide reassurance. Finally, there is certification or labeling, which is awarded by an external body and requires a third-party assessment by a qualified expert, according to criteria set out in a specific reference framework. It is this external body, a trusted third party, which guarantees the reliability of the label and constitutes a guarantee of credibility. Its objectivity and impartiality are meant to guarantee that the company, organization, product, or service meets defined quality or reliability criteria ( Jahn et al. 2005 ).

Research on populations around the world (e.g., Amron 2018 ; Sasmita and Suki 2015 ) show that the buying decisions of consumers are heavily influenced by the trust they have in a brand. More specifically, third-party assurances and labelization have been shown to strongly influence customer buying intentions and purchasing behavior (e.g., Kimery and McCord 2002 ; Lee et al. 2004 ). Taking France as an example, research shows that quality certification is seen as “important” or “significant” by 76% of companies ( Chameroy and Veran 2014 ), and decision makers feel more confident and are more willing to invest with the support of third-party approval than if their decision is merely based on the brand’s reputation or its demonstrated level of social responsibility ( Etilé and Teyssier 2016 ). Indeed, French companies with corporate social responsibility labels have been shown to have higher than average growth rates, and the adoption of quality standards is linked with a 7% increase in the share of export turnover ( Restout 2020 ).

3.2. Influence on Choice and Adoption of Goods and Services

Studies diverge in this area, but based on the seminal work of Parkinson ( 1975 ); Chameroy and Veran ( 2014 ), in their research on the effect of labels on willingness to pay, found that in 75% of cases, products with labels are chosen and preferred to those without labels, demonstrating the impact of the label on customer confidence—provided that it is issued by a recognized third party. Thus, brands that have good reputations tend to be preferred over cheaper new brands, because they are more accepted and valued by the individual social network ( Zielke and Dobbelstein 2007 ).

3.3. Process of Labelizing Products and Services

The creation of a label may be the result of a customer or market need, a request from a private sector of activity or from the government. Creating a label involves setting up a working group including stakeholders who are experts in the field, product managers, and a certification body in order to elaborate a reference framework. This is then reviewed by a specialized committee and validated by the stakeholders. The standard includes evaluation criteria that must be clearly defined ( Mourad 2017 ). An audit system is set up by a trusted third party. It must include the drafting of an audit report, a system for making decisions on labeling, and a system for identifying qualified assessors. The validity of the assessment process is reinforced by this double evaluation: a first level of audit carried out by a team of experts according to a clearly defined set of criteria and a second level of decision making assuring that the methodology and the result of the audit are in conformity with the defined reference framework.

3.4. Labelization of 21st Century Skills

The world of education is particularly concerned by the need to develop and assess 21st century skills, because it represents the first link in the chain of skills acquisition, preparing the human resources of tomorrow. One important means of simultaneously offering a reliable, independent assessment of 21st century skills and valorizing them by making them a core target within an educational system (schools, universities, and teaching and training programs of all kinds) is labelization. Two examples of labelization processes related to 21st century skills were recently developed by the International Institute for Competency Development ( 2021 ; see iicd.net; accessed on 20 November 2022) working with international experts, teachers, and researchers from the University of Paris Cité (formerly Université Sorbonne Paris Cité), Oxford University, and AFNOR UK (an accredited certification body and part of AFNOR International, a subsidiary of the AFNOR group, the only standards body in France).

The last two or three decades has seen the simultaneous rise of international ranking systems and an interest in quality assurance and assessment in an increasingly competitive educational market ( Sursock 2021 ). The aim of these labelization frameworks is to assist in the development of “quality culture” in education by offering individual programs, institutions, and systems additional independent, reliable means of benchmarking, charting progress, and distinguishing themselves based on their capacity to support and promote the development of crucial skills. Importantly, the external perspectives provided by such assessment system should be capable of being individually adapted and applied in a manner that can resist becoming rigidly imposed external standards ( Sursock and Vettori 2017 ). Similarly, as we have seen in the literature review, the best approach to understanding and assessing a particular C is from a combination of different levels and perspectives in context. For example, important approaches to critical thinking have been made from educationally, philosophically, and psychologically focused vantage points ( Lai 2011 ). We can also argue that understandings of creativity are also results of different approaches: the major models in the literature (e.g., the “4Ps” and “7Cs” models; see Lubart and Thornhill-Miller 2019 ) explicitly result from and include the objectives of different education-focused, process-focused, and “ingredient” or component-focused approaches.

The two assessment frameworks outlined in the sections that follow were formulated with these different perspectives and objective needs in mind. Given the complexity and very different natures of their respective targets (i.e., one assessing entire formal educational contexts such as institutions or programs, whereas the other targets the less multi-dimensional, informal educational activities represented by games), the assessment of the individual Cs also represents what experts consider a target-appropriate balance of education- and curriculum-focused, process-focused, and component-focused criteria for assessing each different C.

4. The International Institute for Competency Development’s 21st Century Competencies 4Cs Assessment Framework for Institutions and Programs

One comprehensive attempt to operationalize programmatic-level and institutional-level support for the development of the 4Cs is the International Institute for Competency Development’s 4Cs Assessment Framework ( International Institute for Competency Development 2021 ). Based upon expert opinion and a review of the available literature, this evaluation grid is a practical tool that divides each of the 4Cs into three “user-friendly” but topic-covering components (see Table 1 and definitions and further discussion in the sections that follow). Each of these components is then assessed across seven dimensions (see Table 2 , below), designed to cover concisely the pedagogical process and the educational context. Examples for each point level are provided within the evaluation grid in order to offer additional clarity for educational stakeholders and expert assessors.

Three different components of each C in IICD’s 21st Century Skills 4Cs Assessment Framework.

Seven dimensions evaluated for the 3 different components of each C.

* Educational-level dependent and potentially less available for younger students or in some contexts.

The grid itself can be used in several important and different ways by different educational stakeholders: (1) by the institution itself in its self-evaluation and possible preparation for a certification or labelization process, (2) as an explicit list of criteria for external evaluation of the institution and its 4Cs-related programs, and (3) as a potential long-term development targeting tool for the institution or the institution in dialogue with the labelization process.

4.1. Evaluation Grid for Creativity

Dropping the component of “creative person” that is not relevant at the institutional level, this evaluation grid is based on Rhodes’ ( 1961 ) classic “4P” model of creativity, which remains the most concise model today ( Lubart and Thornhill-Miller 2019 ). The three “P” components retained are: creative process , creative environment , and creative product . Creative process refers to the acquisition of a set of tools and techniques that students can use to enhance the creativity of their thinking and work. Creative environment (also called “Press” in earlier literature) is about how the physical and social surroundings of students can help them be more creative. Finally, creative product refers to the evaluation of actual “productions” (e.g., a piece of art, text, speech, etc.) generated through the creative process.

4.2. Evaluation Grid for Critical Thinking

Our evaluation grid divides critical thinking into three main components: critical thinking about the world , critical thinking about oneself (self-reflection), as well as critical action and decision making . The first component refers to having an evidence-based view of the exterior world, notably by identifying and evaluating sources of information and using them to question current understandings and solve problems. Self-reflection refers to thinking critically about one’s own life situation, values, and actions; it presupposes the autonomy of thought and a certain distance as well as the most objective observation possible with regard to one’s own knowledge (“meta-cognition”). The third and final component, critical action and decision making, is about using critical thinking skills more practically in order to make appropriate life decisions as well as to be open to different points of view. This component also addresses soft skills and attitudes such as trusting information.

Our evaluation framework for critical thinking was in part inspired by Barnett’s “curriculum for critical being” (2015), whose model distinguishes two axes: one defined by the qualitative differences in the level of criticality attained and the second comprised of three different domains of application: formal knowledge, the self, and the world. The first two components of our framework (and the seven dimensions on which they are rated) reflect and encompass these three domains. Similar to Barrett’s proposal, our third rubric moves beyond the “skills-plus-dispositions” model of competency implicit in much theorizing about critical thinking and adds the importance of “action”—not just the ability to think critically and the disposition to do so, but the central importance of training and practicing “critical doing” ( Barnett 2015 ). Critical thinking should also be exercised collectively by involving students in collective thinking, facilitating the exchange of ideas and civic engagement ( Huber and Kuncel 2016 ).

4.3. Evaluation Grid for Collaboration

The first component of collaboration skills in the IICD grid is engagement and participation , referring to the active engagement in group work. Perspective taking and openness concerns the flexibility to work with and accommodate other group members and their points of view. The final dimension— social regulation —is about being able to reach for a common goal, notably through compromise and negotiation, as well as being aware of the different types of roles that group members can hold ( Hesse et al. 2015 ; Rusdin and Ali 2019 ; Care et al. 2016 ). (These last two components include elements of leadership, character, and emotional intelligence as sometimes described in other soft-skill and competency-related systems.) Participation, social regulation, and perspective taking have been identified as central social skills in collaborative problem solving ( Hesse et al. 2015 ). Regarding social regulation in this context, recognizing and profiting from group diversity is key ( Graesser et al. 2018 ). When describing an assessment in an educational setting of collaborative problem solving (with a task in which two or more students have to collaborate in order to solve it, each using a different set of resources), two main underpinning skills were described for the assessment: the social skill of audience awareness (“how to adapt one’s own behavior to suit the needs of the task and the partner’s requirements”, Care et al. 2016, p. 258 ) and the cognitive skill of planning and executing (developing a plan to reach for a goal) ( Care et al. 2016 ). The former is included in the perspective taking and openness rubric and the latter in the social regulation component in the IICD grid. Evans ( 2020 ) identified four main collaboration skills consistently mentioned in the scientific literature that are assessed in the IICD grid: the ability to plan and make group decisions (example item from the IICD grid: teachers provide assistance to students to overcome differences and reach a common goal during group work); the ability to communicate about thinking with the group (assessed notably in the meta-reflection strand of the IICD grid); the ability to contribute resources, ideas, and efforts and support group members (included notably in the engagement and participation as well as the social regulation components); and finally, the ability to monitor, reflect, and adapt individual and group processes to benefit the group (example item from the IICD grid: students use perspective-taking tools and techniques in group activities).

4.4. Evaluation Grid for Communication

The evaluation grid for communication is also composed of three dimensions: message formulation, message delivery, and message and communication feedback . Message formulation refers to the ability to design and structure a message to be sent, such as outlining the content of an argument. Message delivery is about effectively transmitting verbal and non-verbal aspects of a message. Finally, message and communication feedback refers to the ability of students and teachers to understand their audience, analyze their social surroundings, and interpret information in context. Other components of communication skills such as theory of mind, empathy, or emotional intelligence are also relevant and included in the process of applying the grid. Thompson ( 2020 ) proposes a four-component operationalized definition of communication for its assessment in students. First, they describe a comprehension strand covering the understanding and selection of adequate information from a range of sources. Message formulation in the IICD grid captures this dimension through its focus on content analysis and generation. Second, the presentation of information and ideas is mentioned in several different modes, adjusted to the intended audience, verbally as well as non-verbally. The message delivery component of the IICD grid focuses on these points. Third, the authors note the importance of communication technology and its advanced use. The IICD grid also covers the importance of technology use in its tools and techniques category, with, for example, an item that reads: students learn to effectively use a variety of formats of communication (social media, make a video, e-mail, letter writing, creating a document). Finally, Thompson ( 2020 ) describes the recognition of cultural and other differences as an important aspect of communication. The IICD grid aims at incorporating these aspects, notably in the meta-reflection category under each of the three dimensions.

5. Assessing the 4Cs in Informal Educational Contexts: The Example of Games

5.1. the 4cs in informal educational contexts.

So far, the focus has been on rather formal ways of nurturing the 4Cs. Although institutions and training programs are perhaps the most significant and necessary avenues of education, they are not the sole context in which 4Cs’ learning and improvement can manifest. One other important potential learning context is game play. Games are activities that are present and participated in throughout human society—by those of all ages, genders, and socio-economic statuses ( Bateson and Martin 2013 ; Huizinga 1949 ; Malaby 2007 ). This informal setting can also provide favorable conditions to help improve the 4Cs ( van Rosmalen et al. 2014 ) and should not be under-appreciated. Games provide a unique environment for learning, as they can foster a space to freely explore possibilities and one’s own potential ( de Freitas 2006 ). We argue that games are a significant potential pathway for the improvement of the 4Cs, and as such, they merit the same attention as more formal ways of learning and developing competencies.

5.2. 4Cs Evaluation Framework for Games

Compared to schools and educational institutions, the focus of IICD’s evaluation framework for games (see International Institute for Competency Development 2021 ) is more narrow. Thus, it is fundamentally different from the institutional grid: games, complex and deep as they can sometimes be, cannot directly be compared to the complexity of a school curriculum and all the programs it contains. The evaluation of a game’s effectiveness for training/improving a given C rests on the following principle: if a game presents affordances conducive to exercising a given skill, engaged playing of that game should help improve that skill.

The game’s evaluation grid is scored based on two criteria. For example, as a part of a game’s rating as a tool for the development of creativity, we determine the game must first meet two conditions. First, whether or not the game allows the opportunity for creativity to manifest itself: if creativity cannot occur in the game, it is obviously not eligible to receive ratings for that C. Second, whether or not creativity is needed in order to perform well in the game: if the players can win or achieve success in the game without needing creativity, this also means it cannot receive a rating for that C. If both conditions are met, however, the game will be considered potentially effective to improve creativity through the practice of certain components of creative behavior. This basic principle applies for all four of the Cs.

As outlined in Table 3 , below, the evaluation grid for each of the four Cs is composed of five components relevant to games that are different for each of the Cs. The grid works as follows: for each of the five components of each C, we evaluate the game on a list of sub-components using two yes/no scales: one for whether it is “possible” for that subcomponent to manifest and one for whether that sub-component is “required for success” in the game. This evaluation is done for all sub-components. After this, each general component is rated on the same two indicators. If 60% (i.e., three out of five) or more sub-components are positively rated as required, the general component is considered required. Then, the game is evaluated on its effectiveness for training and improving each of the 4Cs. If 60% or more components are positively rated as required, the game will be labelized as having the potential to be effective for training and improving the corresponding C.

Five different components evaluated for each C by the 4Cs assessment framework for games.

The evaluation grid for creativity is based on the multivariate model of creative potential (see Section 2.1.1 and Lubart et al. 2013 for more information) and is composed of four cognitive factors and one conative factor: originality , divergent thinking , convergent thinking , mental flexibility , and creative dispositions . Originality refers to the generation of ideas that are novel or unexpected, depending on the context. Divergent thinking corresponds to the generation of multiple ideas or solutions. Convergent thinking refers to the combination of multiple ideas and the selection of the most creative idea. Mental flexibility entails changing perspectives on a given problem and breaking away from initial ideas. Finally, creative dispositions concerns multiple personality-related factors conducive to creativity, such as openness to experience or risk taking.

The evaluation grid for critical thinking echoes Halpern’s ( 1998 ) as well as Marin and Halpern’s ( 2011 ) considerations for teaching this skill, that is, taking into consideration thinking skills, metacognition, and dispositions. The five components of the critical thinking grid are: goal-adequate discernment, objective thinking, metacognition, elaborate reasoning, and uncertainty management. Goal-adequate discernment entails the formulation of inferences and the discernment of contradictions when faced with a problem. Objective thinking corresponds to the suspension of one’s own judgment and the analysis of affirmations and sources in the most objective manner possible. Metacognition, here, is about questioning and reassessing information, as well as the awareness of one’s own cognitive biases. Elaborate reasoning entails reasoning in a way that is cautious, thorough, and serious. Finally, uncertainty management refers to the dispositional propensity to tolerate ambiguity and accept doubt.

The evaluation grid for collaboration is based on the quality of collaboration (QC) method ( Burkhardt et al. 2009 ; see Section 2.4.2 for more details) and is composed of the following five components: collaboration fluidity, well-argued deliberation and consensus-based decision, balance of contribution, organization and coordination, and cognitive syncing, input, and support. Collaboration fluidity entails the absence of speech overlap and the presence of a good flow in terms of turns to speak. Well-argued deliberation and consensus-based decision is about contributing to the discussion and task at hand, as well as participating in discussions and arguments, in order to obtain a consensus. Balance of contribution refers to having equal or equivalent contributions to organization, coordination, and decision making. Organization and coordination refers to effective management of roles, time, and “deadlines”, as well as the attribution of roles depending on participants’ skills. Finally, cognitive syncing, input, and support is about bringing ideas and resources to the group, as well as supporting and reinforcing other members of the group.

The five components used to evaluate communication in games include both linguistic, pragmatic, and social aspects. Linguistic skills per se are captured by the mastery of written and spoken language component. This component assesses language comprehension and the appropriate use of vocabulary. Pragmatic skills are captured by the verbal and non-verbal communication components and refer to the efficient use of verbal and body signals in the context of the game to achieve one’s communicative goals ( Grassmann 2014 ; Matthews 2014 ). Finally, the grid also evaluates social skills with its two last components, social interactions and social cognition, which, respectively, refer to the ability to interact with others appropriately—including by complying with the rules of the game—and to the understanding of other people’ mental states ( Tomasello 2005 ).

6. Discussion and Conclusions

Each of the 4Cs is a broad, multi-faceted concept that is the subject of a tremendous amount of research and discussion by a wide range of stakeholders in different disciplines, professions, and parts of the educational establishment. The development of evaluation frameworks to allow support for the 4Cs to be assessed and publicly recognized, using a label, is an important step for promoting and fostering these skills in educational contexts. As illustrated by IICD’s 4Cs Framework for educational institutions and programs, as well as its games/activities evaluation grid, the specific criteria to detect support for each C can vary depending upon the educational context (e.g., formal and institutional level or informal and at the activity level). Yet considering the 4Cs together highlights some additional observations, current challenges, and opportunities for the future that are worthy of discussion.

6.1. Interrelationships between the 4Cs and a New Model for Use in Pedagogy and Policy Promotion

One very important issue for understanding the 4Cs and their educational implementation that can be simultaneously a help and a hindrance for teaching them—and also a challenge when assessing them—is their multidimensionality and interrelatedness. In other words, the 4Cs are not entirely separate entities but instead, as Figure 2 shows, should be seen as four interlinked basic “elements” for future-oriented education that can help individuals in their learning process and, together, synergistically “bootstrap” the development of their cognitive potentials. Lamri and Lubart ( 2021 ), for example, found a certain base level of creativity was a necessary but not sufficient condition for success in managerial tasks, but that high-level performance required a combination of all four Cs. Some thinkers have argued that one cannot be creative without critical thinking, which also requires creativity, for example, to come up with alternative arguments (see Paul and Elder 2006 ). Similarly, among many other interrelationships, there is no collaboration without communication—and even ostensibly individual creativity is a “collaboration” of sorts with the general culture and precursors in a given field. As a result, it ranges from impossible to suboptimal to teach (or teach towards) one of the 4Cs without involving one or more of the others, and this commingling also underscores the genuine need and appropriateness of assessing them together.

“‘Crea-Critical-Collab-ication’: a Dynamic Interactionist Model of the 4Cs”. (Illustration of the interplay and interpenetration of creativity, critical thinking, collaboration, and communication shown in dimensional space according to their differing cognitive/individual vs. social/interpersonal emphases; (© 2023, Branden Thornhill-Miller. All Rights Reserved. thornhill-miller.com; accessed on 20 January 2023)).

From this perspective, Thornhill-Miller ( 2021 ) proposed a “dynamic interactionist model of the 4Cs” and their interrelated contributions to the future of education and work. Presented in Figure 2 , this model is meant to serve as a visual and conceptual aid for understanding the 4Cs and their interrelationships, thereby also promoting better use and understanding of them in pedagogical and policy settings. In addition to suggesting the portmanteau of “crea-critical thinking” as a new term to describe the overlap of much of the creative and critical thinking processes, the title of this model, “Crea-Critical-Collab-ication”, is a verbal representation of the fluid four-way interrelationship between the 4Cs visually represented in Figure 2 (a title meant to playfully repackage the 4Cs for important pedagogical and policy uses). This model goes further to suggest some dimensional differences in emphases that, roughly speaking, also often exist among the 4Cs: that is to say, the frequently greater emphasis on cognitive or individual elements at play in creativity and critical thinking in comparison to the social and interpersonal aspects more central to communication and collaboration ( Thornhill-Miller 2021 ).

Similarly focused on the need to promote a phase change towards future-oriented education, Lucas ( 2019 ) and colleagues have suggested conflating creative thinking and critical thinking in order to propose “3Cs” (creative thinking, communication, and collaboration) as new “foundational literacies” to symmetrically add to the 3Rs (Reading, wRiting, and aRithmetic) of previous educational eras. Although we applaud these efforts, from our applied research perspective, we believe that the individual importance of, and distinct differences between, creative thinking and critical thinking support preserving them both as separate constructs in order to encourage the greatest development of each of them. Moreover, if only three categories were somehow required or preferable, one could argue that uniting communication and collaboration (as “collab-ication” suggests) might be preferable—particularly also given the fact that substantial aspects of communication are already covered within the 3Rs. In any case, we look forward to more such innovations and collaborations in this vibrant and important area of work at the crossroads between research, pedagogy, and policy development.

6.2. Limitations and Future Work

The rich literature in each of the 4Cs domains shows the positive effects of integrating these dimensions into educational and professional curricula. At the same time, the complexity of their definitions makes them difficult to assess, both in terms of reliability (assessment must not vary from one measurement to another) and of validity (tests must measure that which they are intended to measure). However, applied research in this area is becoming increasingly rigorous, with a growing capacity to provide the necessary tools for evidence-based practice. The development of these practices should involve interdisciplinary teams of teachers and other educational practitioners who are equipped and trained accordingly. Similarly, on the research side, further exploration and clarification of subcomponents of the 4Cs and other related skills will be important. Recent efforts to clarify the conceptual overlap and hierarchical relations of soft skills for the future of education and work, for example, have been helpful and promising (e.g., Joie-La Marle et al. 2022 ; Lamri et al. 2022 ). But the most definitive sort of taxonomy and measurement model that we are currently lacking might only be established based on the large-scale administration of a comprehensive battery of skill-measuring psychometric tests on appropriate cross sections of society.

The rapid development and integration of new technologies will also aid and change the contexts, resources, and implementation of the 4Cs. For example, the recent developments make it clear that the 4Cs will be enhanced and changed by interaction with artificially intelligence, even as 4Cs-related skills will probably, for the same reason, increasingly constitute the core of available human work in the future (see, e.g., Ross 2018 ). Similarly, research on virtual reality and creativity suggest that VR environments assist and expand individual and collaborative creativity ( Bourgeois-Bougrine et al. 2022 ). Because VR technologies offer the possibility of enhanced and materially enriched communication, collaboration, and information availability, they not only allow for the enhancement of creativity techniques but also for similar expansions and improvements on almost all forms of human activity (see Thornhill-Miller and Dupont 2016 )—including the other three Cs.

6.3. Conclusion: Labelization of the 4Cs and the Future of Education and Work

Traditional educational approaches cannot meet the educational needs of our emergent societies if they do not teach, promote, and assess in line with the new learner characteristics and contexts of the 21st century ( Sahin 2009 ). The sort of future-oriented change and development required by this shift in institutional practices, programming, and structure will likely meet with significant resistance from comfortably entrenched (and often outdated) segments of traditional educational and training establishments. Additional external evaluation and monitoring is rarely welcome by workers in any context. We believe, however, that top-down processes from the innovative and competition-conscious administrative levels will be met by bottom-up demands from students and education consumers to support these institutional changes. And we contend that efforts such as labelizing 4C processes will serve to push educators and institutions towards more relevant offerings, oriented towards the future of work and helping build a more successful future for all.

In the end, the 4Cs framework seems to be a manageable, focused model for modernizing education, and one worthy of its growing prevalence in the educational and research marketplace for a number of reasons. These reasons include the complexity and cumbersome nature of larger alternative systems and the 4Cs’ persuasive presence at the core of a number of early and industry-driven frameworks. In addition, the 4Cs have benefitted from their subsequent promotion by organizations such as the OECD and the World Economic Forum, as well as some more direct support from recent empirical research. The promotion, teaching, and assessment of the 4Cs will require a complex social intervention and mobilization of educational resources—a major shift in pedagogy and institutional structures. Yet the same evolving digital technologies that have largely caused the need for these massive, rapid changes can also assist in the implementation of solutions ( van Laar et al. 2017 ). To the extent that future research also converges on such a model (that has already been found pedagogically useful and policy-friendly by so many individuals and organizations), the 4Cs framework has the potential to become a manageable core for 21st century skills and the future of education and work—one that stakeholders with various agendas can already begin building on for a better educational and economic future together.

Funding Statement

This research received no external funding.

Author Contributions

Conceptualization, B.T.-M. and T.L.; writing—original draft preparation, B.T.-M., A.C., M.M., J.-M.B., T.M., S.B.-B., S.E.H., F.V., M.A.-L., C.F., D.S., F.M.; writing—review and editing, B.T.-M., A.C., T.L., J.-M.B., C.F.; visualization, B.T.-M.; supervision, B.T.-M., T.L.; project administration, B.T.-M., T.L. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Data availability statement, conflicts of interest.

B.T.-M. and T.L. are unpaid academic co-founder and project collaborator for the International Institute for Competency Development, whose labelization frameworks (developed in cooperation with Afnor International and the LaPEA lab of Université Paris Cité and Université Gustave Eiffel) are used as examples in this review. S.E.H. and M.A.-L. are employees of AFNOR International. No funding was received to support this research or article, which reflects the views of the scientists and researchers and not their organizations or companies.

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More From Forbes

How to adopt a collaborative problem-solving approach through 'yes, and' thinking.

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After more than 24 years of coaching, I've noticed that teams and organizations still use traditional problem-solving techniques despite these being either obsolete or ineffective. For example, individuals still attempt to focus and dissect problems on their own with the hope of coming up with a solution by themselves.

I also notice a pattern of clients operating in silos. They have a tendency to equate the ability to solve problems by themselves as a form of independence and initiative. This works only to a certain degree. As the problem becomes more complex, this solo-solving technique becomes ineffective. Instead, teams should tap into the increasingly diverse and multidisciplinary pool that makes up the workforce. Not only is this useful for performance and productivity but also for problem solving.

I have found the collaborative problem-solving approach, by Alexander Hancock , to be an effective approach to achieving clients’ objectives. Collaborative problem solving occurs as you collaborate with other people to exchange information, ideas or perspectives. The essence of this type of collaboration is based on “yes, and” thinking – building on and valuing each other’s ideas.

Any individual, team or company can take advantage of this approach. I have found this approach to be most effective for companies facing problems that involve team members from different departments, backgrounds and personalities. This is also an approach that is usually unique to the coaching profession.

In any situation, when someone comes to you as a leader with a problem to discuss, your role is to help him or her look for the causes and discover solutions. Your role is not to resolve the problem alone but to guide them through collaborative problem-solving approach.

Attitudes For Collaborative Problem Solving

Hancock provides the list below of attitudes that are best paired with the approach:

• Win-win abundance thinking:  Collaboration allows you to work with others to develop solutions that will benefit you both. The key concept is to believe that it is possible to create a synergistic solution before you create them. It is not "you vs. me" — we can both succeed. Develop an "abundance mentality" — there is enough for everyone. “If you win, we all win.”

• Patience:  Collaboration takes time. You need to recognize that you are both helping one another to reach a resolution, and it may take more than one meeting to discuss. You will often need to work together over time to reach a satisfying solution that you will both agree on.

• “Yes, and” thinking:  Move away from polarized (either/or) thinking, and develop a “yes, and” way of thinking. This thinking is supporting a suggested idea and building on the idea to make it better.

Benefits Of Collaborative Problem Solving

Collaborative problem solving opens communication and builds trust in the relationship as you and your co-collaborator discover that you are both working together toward a shared outcome. This increases a joint commitment to the relationship and to the organization. It also indicates a commitment to helping others reach their goals and objectives, and to improve everyone’s performance for the company or the organization. Collaborative communication also encourages finding creative solutions. This increases the likelihood that others will take ownership of an issue and its solution.

Collaborative Problem-Solving Techniques

There are techniques that can help you engage in collaborative communication. Here are a few examples:

• Build on and connect ideas, rather than discarding one idea and looking for another one.

• Explore the strengths and drawbacks of each idea, compare and balance the pluses and drawbacks of each idea.

• Convert drawbacks to new possibilities. Try to find ways to integrate and combine new possibilities into an existing idea.

• When sharing your own opinion, make sure you offer it as a suggestion and not as a directive. The intention of collaborative problem solving is to provide a catalyst for exploration and consideration, instead of having the other person accept your advice or direction.

The collaborative problem-solving approach paves ways to open communication, trust, better planning and smooth implementation of a plan or strategy.

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How to ace collaborative problem solving

April 30, 2023 They say two heads are better than one, but is that true when it comes to solving problems in the workplace? To solve any problem—whether personal (eg, deciding where to live), business-related (eg, raising product prices), or societal (eg, reversing the obesity epidemic)—it’s crucial to first define the problem. In a team setting, that translates to establishing a collective understanding of the problem, awareness of context, and alignment of stakeholders. “Both good strategy and good problem solving involve getting clarity about the problem at hand, being able to disaggregate it in some way, and setting priorities,” Rob McLean, McKinsey director emeritus, told McKinsey senior partner Chris Bradley  in an Inside the Strategy Room podcast episode . Check out these insights to uncover how your team can come up with the best solutions for the most complex challenges by adopting a methodical and collaborative approach. 

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Collaborative Problem Solving: What It Is and How to Do It

What is collaborative problem solving, how to solve problems as a team, celebrating success as a team.

Problems arise. That's a well-known fact of life and business. When they do, it may seem more straightforward to take individual ownership of the problem and immediately run with trying to solve it. However, the most effective problem-solving solutions often come through collaborative problem solving.

As defined by Webster's Dictionary , the word collaborate is to work jointly with others or together, especially in an intellectual endeavor. Therefore, collaborative problem solving (CPS) is essentially solving problems by working together as a team. While problems can and are solved individually, CPS often brings about the best resolution to a problem while also developing a team atmosphere and encouraging creative thinking.

Because collaborative problem solving involves multiple people and ideas, there are some techniques that can help you stay on track, engage efficiently, and communicate effectively during collaboration.

• Set Expectations. From the very beginning, expectations for openness and respect must be established for CPS to be effective. Everyone participating should feel that their ideas will be heard and valued.
• Provide Variety. Another way of providing variety can be by eliciting individuals outside the organization but affected by the problem. This may mean involving various levels of leadership from the ground floor to the top of the organization. It may be that you involve someone from bookkeeping in a marketing problem-solving session. A perspective from someone not involved in the day-to-day of the problem can often provide valuable insight.
• Communicate Clearly.  If the problem is not well-defined, the solution can't be. By clearly defining the problem, the framework for collaborative problem solving is narrowed and more effective.
• Expand the Possibilities.  Think beyond what is offered. Take a discarded idea and expand upon it. Turn it upside down and inside out. What is good about it? What needs improvement? Sometimes the best ideas are those that have been discarded rather than reworked.
• Encourage Creativity.  Out-of-the-box thinking is one of the great benefits of collaborative problem-solving. This may mean that solutions are proposed that have no way of working, but a small nugget makes its way from that creative thought to evolution into the perfect solution.
• Provide Positive Feedback. There are many reasons participants may hold back in a collaborative problem-solving meeting. Fear of performance evaluation, lack of confidence, lack of clarity, and hierarchy concerns are just a few of the reasons people may not initially participate in a meeting. Positive public feedback early on in the meeting will eliminate some of these concerns and create more participation and more possible solutions.
• Consider Solutions. Once several possible ideas have been identified, discuss the advantages and drawbacks of each one until a consensus is made.
• Assign Tasks.  A problem identified and a solution selected is not a problem solved. Once a solution is determined, assign tasks to work towards a resolution. A team that has been invested in the creation of the solution will be invested in its resolution. The best time to act is now.
• Evaluate the Solution. Reconnect as a team once the solution is implemented and the problem is solved. What went well? What didn't? Why? Collaboration doesn't necessarily end when the problem is solved. The solution to the problem is often the next step towards a new collaboration.

The burden that is lifted when a problem is solved is enough victory for some. However, a team that plays together should celebrate together. It's not only collaboration that brings unity to a team. It's also the combined celebration of a unified victory—the moment you look around and realize the collectiveness of your success.

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Collaborative problem solvers are made not born – here’s what you need to know

Professor of Cognitive Sciences, University of Central Florida

Disclosure statement

Stephen M. Fiore has received funding from federal agencies such as NASA, ONR, DARPA, and the NSF to study collaborative problem solving and teamwork. He is past president of the Interdisciplinary Network for Group Research, currently a board member of the International Network for the Science of Team Science, and a member of DARPA's Information Science and Technology working group.

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Challenges are a fact of life. Whether it’s a high-tech company figuring out how to shrink its carbon footprint, or a local community trying to identify new revenue sources, people are continually dealing with problems that require input from others. In the modern world, we face problems that are broad in scope and great in scale of impact – think of trying to understand and identify potential solutions related to climate change, cybersecurity or authoritarian leaders.

But people usually aren’t born competent in collaborative problem-solving. In fact, a famous turn of phrase about teams is that a team of experts does not make an expert team . Just as troubling, the evidence suggests that, for the most part, people aren’t being taught this skill either. A 2012 survey by the American Management Association found that higher level managers believed recent college graduates lack collaboration abilities .

Maybe even worse, college grads seem to overestimate their own competence. One 2015 survey found nearly two-thirds of recent graduates believed they can effectively work in a team, but only one-third of managers agreed . The tragic irony is that the less competent you are, the less accurate is your self-assessment of your own competence. It seems that this infamous Dunning-Kruger effect can also occur for teamwork.

Perhaps it’s no surprise that in a 2015 international assessment of hundreds of thousands of students, less than 10% performed at the highest level of collaboration . For example, the vast majority of students could not overcome teamwork obstacles or resolve conflict. They were not able to monitor group dynamics or to engage in the kind of actions needed to make sure the team interacted according to their roles. Given that all these students have had group learning opportunities in and out of school over many years, this points to a global deficit in the acquisition of collaboration skills.

How can this deficiency be addressed? What makes one team effective while another fails? How can educators improve training and testing of collaborative problem-solving? Drawing from disciplines that study cognition, collaboration and learning, my colleagues and I have been studying teamwork processes. Based on this research, we have three key recommendations.

How it should work

At the most general level, collaborative problem-solving requires team members to establish and maintain a shared understanding of the situation they’re facing and any relevant problem elements they’ve identified. At the start, there’s typically an uneven distribution of knowledge on a team. Members must maintain communication to help each other know who knows what, as well as help each other interpret elements of the problem and which expertise should be applied.

Then the team can get to work, laying out subtasks based upon member roles, or creating mechanisms to coordinate member actions. They’ll critique possible solutions to identify the most appropriate path forward.

Finally, at a higher level, collaborative problem-solving requires keeping the team organized – for example, by monitoring interactions and providing feedback to each other. Team members need, at least, basic interpersonal competencies that help them manage relationships within the team (like encouraging participation) and communication (like listening to learn). Even better is the more sophisticated ability to take others’ perspectives, in order to consider alternative views of problem elements.

Whether it is a team of professionals in an organization or a team of scientists solving complex scientific problems , communicating clearly, managing conflict, understanding roles on a team, and knowing who knows what – all are collaboration skills related to effective teamwork.

What’s going wrong in the classroom?

When so many students are continually engaged in group projects, or collaborative learning, why are they not learning about teamwork? There are interrelated factors that may be creating graduates who collaborate poorly but who think they are quite good at teamwork.

I suggest students vastly overestimate their collaboration skills due to the dangerous combination of a lack of systematic instruction coupled with inadequate feedback. On the one hand, students engage in a great deal of group work in high school and college. On the other hand, students rarely receive meaningful instruction, modeling and feedback on collaboration . Decades of research on learning show that explicit instruction and feedback are crucial for mastery .

Although classes that implement collaborative problem-solving do provide some instruction and feedback, it’s not necessarily about their teamwork. Students are learning about concepts in classes; they are acquiring knowledge about a domain. What is missing is something that forces them to explicitly reflect on their ability to work with others.

When students process feedback on how well they learned something, or whether they solved a problem, they mistakenly think this is also indicative of effective teamwork. I hypothesize that students come to conflate learning course content material in any group context with collaboration competency.

A prescription for better collaborators

Now that we’ve defined the problem, what can be done? A century of research on team training , combined with decades of research on group learning in the classroom , points the way forward. My colleagues and I have distilled some core elements from this literature to suggest improvements for collaborative learning .

First, most pressing is to get training on teamwork into the world’s classrooms. At a minimum, this needs to happen during college undergraduate education, but even better would be starting in high school or earlier. Research has demonstrated it’s possible to teach collaboration competencies such as dealing with conflict and communicating to learn. Researchers and educators need, themselves, to collaborate to adapt these methods for the classroom.

Secondly, students need opportunities for practice. Although most already have experience working in groups, this needs to move beyond science and engineering classes. Students need to learn to work across disciplines so after graduation they can work across professions on solving complex societal problems.

Third, any systematic instruction and practice setting needs to include feedback. This is not simply feedback on whether they solved the problem or did well on learning course content. Rather, it needs to be feedback on interpersonal competencies that drive successful collaboration. Instructors should assess students on teamwork processes like relationship management, where they encourage participation from each other, as well as skills in communication where they actively listen to their teammates.

Even better would be feedback telling students how well they were able to take on the perspective of a teammate from another discipline. For example, was the engineering student able to take the view of a student in law and understand the legal ramifications of a new technology’s implementation?

My colleagues and I believe that explicit instruction on how to collaborate, opportunities for practice, and feedback about collaboration processes will better prepare today’s students to work together to solve tomorrow’s problems.

• Decision making
• Cooperation
• Problem solving
• Collaboration
• Dunning-Kruger effect
• Wicked problems
• student collaboration
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• 21st century skills
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• Collaborative problem solving

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Collaborative Problem Solving: A Resource Guide for Counselors Addressing Family Issues

Idaho Youth Ranch May 4, 2023 10:12:47 PM

Collaborative Problem Solving (CPS) is an evidence-based approach that focuses on understanding and addressing the root causes of challenging behavior in children and adolescents. Developed by Dr. Ross Greene, CPS aims to foster empathy, communication, and collaboration between parents, children, and professionals, ultimately leading to more effective and lasting solutions for family issues. This resource guide provides an overview of the CPS model, outlines the key principles and steps involved, and offers practical tips and strategies for counselors working with families.  

The Collaborative Problem Solving Model 

1. Understanding the CPS Philosophy

CPS is grounded in the belief that children do well if they can. The approach posits that challenging behavior is not due to a lack of motivation, attention-seeking, or manipulation but rather a result of lagging skills and unsolved problems. By understanding and addressing these underlying factors, counselors can help families develop more effective, compassionate, and sustainable solutions.  

2. Key Principles of CPS 

Empathy: The foundation of the CPS model is empathic understanding, which involves recognizing and validating the feelings and perspectives of all family members.  

Collaboration: CPS emphasizes the importance of working together rather than relying on unilateral decision-making or power-based approaches.  

Skill-building: The approach focuses on identifying and addressing lagging skills, such as emotion regulation, problem-solving, and communication, to promote lasting change.  

Implementing the Collaborative Problem Solving Process 

The first step in the CPS process is to identify the specific skills that a child may be struggling with. This can be done through a combination of observation, interviews, and assessments. Some common lagging skills include:  

Emotional regulation  

Flexibility  

Impulse control  

Problem-solving  

Communication  

Once lagging skills have been identified, the next step is to determine the specific situations or problems that are causing difficulties for the child and family. Unsolved problems are often characterized by predictability and can be uncovered through discussions with family members and the child.  

3. The Three Steps of Collaborative Problem Solving

The CPS process involves three primary steps, which can be adapted and tailored to the unique needs and circumstances of each family.  

• Step 1: Empathy

Begin by gathering information and understanding the child’s perspective on the problem. This step involves active listening, validating emotions, and demonstrating genuine curiosity.  

• Step 2: Define Adult Concerns

Clearly articulate the parent or caregiver’s concerns and needs regarding the situation. This step promotes mutual understanding and acknowledges the importance of addressing both the child’s and the adult’s concerns.  

• Step 3: Invitation to Collaborate 

Invite the child and parent to brainstorm possible solutions together. Encourage them to consider a range of ideas and evaluate each option based on its feasibility and effectiveness in addressing both the child’s and the adult’s concerns.  

Tips and Strategies for Counselors 

1. Build Rapport and Establish Trust 

Establishing a strong therapeutic alliance with both the child and the parent is essential for the success of CPS. Be patient, empathetic, and transparent in your approach in order to foster trust and cooperation.  

2. Use Reflective Listening and Validation 

Active listening and validation are crucial tools in the CPS process. Reflect back the emotions and concerns of family members to ensure they feel heard and understood.  

3. Encourage Open Communication 

Create a safe and non-judgmental environment that encourages open communication and allows family members to express their thoughts, feelings, and concerns without fear of criticism or rejection.  

4. Be Flexible and Adaptable 

Each family is unique, and the CPS process may need to be adapted to suit their specific needs and circumstances. Be prepared to modify your approach, pacing, and techniques as needed to best support the family.  

5. Provide Support and Guidance  

As a counselor, your role is to facilitate the CPS process and provide guidance and support to the family throughout. Offer suggestions, ask probing questions, and share relevant resources to help family members develop their problem-solving skills.  

6. Monitor Progress and Adjust 

Regularly assess the family’s progress and the effectiveness of the solutions they’ve implemented. Be prepared to revisit and adjust the problem-solving process as needed, based on the family’s evolving needs and circumstances.  

7. Encourage Skill-Building 

As part of the CPS process, help family members develop and practice the skills necessary to address their unsolved problems effectively. This may include offering resources, psychoeducation, or skill-building exercises to support growth in areas such as emotion regulation, communication, and flexibility.  

Collaborative Problem Solving offers a compassionate and effective approach to addressing challenging behaviors and family issues. By understanding the underlying causes of these difficulties and engaging in a collaborative, empathic problem-solving process, counselors can help families develop lasting solutions and strengthen their relationships. By following the principles and steps outlined in this resource guide and adapting your approach to meet the unique needs of each family, you can support families in achieving positive, sustainable change.  

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8 strategies to collaborate effectively in the workplace

In order to do anything well, team members need to work together. 

Teamwork and collaboration are must-haves for any work environment. Yet still, many teams and employees struggle to collaborate effectively. 

After all, there are plenty of factors that go into collaboration. Communication and strategy impact collaboration. Conflict resolution and the ability to solve problems matter in collaboration . Even the types of collaboration tools can have an impact on how well your teams work together. 

Team collaboration requires certain skills and capabilities, whether your teams are remote or in-person. According to a Gensler survey, a majority of employees say their jobs rely on collaboration .

Businesses everywhere are struggling with how to optimize their workforce. With some organizations downsizing in response to economic uncertainty , teamwork is more important than ever. Organizations are also working to maintain and sustain positive company cultures while keeping collaboration a key attribute of their teams. 

In this post, we’ll talk about how your teams can collaborate effectively. We’ll also talk about the role of leadership in creating a collaborative culture. After all, collaboration can be the factor that drives your organizational performance .  

Creating a collaborative workplace

In order to create a collaborative environment, your leaders need to invest in building trust. So much of building trust stems from leadership. 

First, employees need to feel psychologically safe in their work environment. They need to feel like they can show up as their whole selves to work. After all, personal and work lives have melded together more than ever before. Especially in hybrid and remote work environments , successful collaboration hinges on the example that your leadership team sets. 

Second, employees need to be able to communicate effectively . It’s impossible to work well with co-workers without effective communication.

But communication is more than just sending emails, Slacks, or participating in face-to-face meetings . It’s the ability to communicate when a project hits roadblocks.

It’s the ability to resolve conflicts and overcome disagreements in healthy ways. It’s the ability to communicate the decision-making process. It’s the ability to connect the larger purpose of work to the day-to-day tasks. At the end of the day, communication is what helps employees understand common goals. 

" People are getting new skills and then bringing them to their teams, exponentially helping others. You can feel the energy and you see how people are reaching across the aisle and busting silos to help each other." Larry McAllister, VP, Talent & Development, NetApp   

Third, employees need the right collaboration tools. For example, my team uses Slack and Asana to manage workflows, update each other on projects, and share valuable information.

Project management tools like Asana are what help to keep our deliverables on track. It’s helped to make us an effective team to help meet and exceed our clear goals. 

Of course, communication tools are just part of the foundation that’ll help your team collaborate well. But it’s important your teams invest in building key skill sets to help maximize the potential of your organization’s communication tools.

Collaboration skills can come to life with the right tools. But your team needs those skills and capabilities as the foundation. Then, the tools help to become that vehicle or vessel for delivery. 

The importance of effective collaboration

There are plenty of organizational benefits to effective collaboration. Your entire team and business can benefit from effective collaboration. Here are four reasons why building effective collaboration skills are important.

• Better problem-solving skills. Companies solve problems. For the most part, the value a company brings to the market is its ability to solve complex problems well. While those problems vary, every company will come across issues that need resolving. One huge advantage of effective collaboration is better problem-solving skills . When team members know how to work well together, teams are better equipped to innovate. Collaborative work lends itself to innovation and problem-solving. 
• Improved, open communication. Collaboration isn’t possible with communication. But good collaboration happens when communication is open, transparent, and effective. Communication can break down silos between teams to help better solve problems. Communication helps to get ahead of conflicts before they arise. But as we know, not all conflict is bad. Good conflict resolution hinges on good communication skills, which all contribute to how well a team works together. Research backs this up. In fact, 86% of executives cite communication issues as a major cause of failure in collaboration. Especially when video conferencing and remote collaboration are more common than ever, it’s important to invest in building soft skills . 

• Increased goal attainment. Effectively working together means teams are better positioned to reach their goals. For businesses, this translates into a boost in productivity and performance. Overall, effective collaboration directly impacts an organization’s bottom line. 
• Thriving company culture. Collaborating well is about connecting. It’s how employees are able to connect with one another to work together toward a common goal. It’s how employees build trust and psychological safety in their work environment. It’s how employees find friends at work and feel safe enough to show up as their whole selves . At BetterUp, we’ve studied the impact of connections on the workforce. First, we know that when employees feel connected to one another, they’re more likely to thrive. Employees high in social connection experience better well-being , better professional growth, and a boost in goal attainment. But we also know that 43% of employees don’t feel connected at work . Connections and collaboration go hand-in-hand. Together, they have a huge impact on your company’s culture . 

8 ways to collaborate effectively

If you’re looking for ways to maximize collaboration in the workplace, here are eight steps to help you get started. 

8 ways to collaborate effectively 

• Build psychological safety and trust 
• Get good at delegating 
• Implement a decision-making framework 
• Empower open and transparent communication  
• Create professional development opportunities 
• Build conflict resolution skills  
• Set key milestones and goals  
• Gather feedback  

1. Build psychological safety and trust 

Your leaders need to invest in laying a foundation for psychological safety. Managers have an incredible influence over the employee experience . As our diverse workforce expands to all corners of the globe, it’s important to measure your organization’s psychological safety. 

For example, BetterUp Labs recently studied the impact of belonging and psychological safety on the LGBTQIA+ community. The results? LGBTQIA+ folks still don’t feel comfortable showing up as their whole selves to work. In fact, 73% of the LGBTQIA+ participants reported showing their authentic selves to people in their personal lives. But only 35% said the same about their work lives.

But what do belonging and safety have to do with collaboration? A lot more than you may think. If employees don’t feel safe to be themselves, it’s likely they aren’t engaged at work. It can impact everything from voicing a new, bold idea in a meeting to suggesting ways to improve an old process. 

Your organization can use employee engagement surveys to help measure your psychological safety. At the core of it, your leadership team should be leading by example. Manager training on how to build inclusive leadership skills is imperative to building trust within teams. 

2. Get good at delegating  

Leaders who know how to delegate are an important step to effective collaboration. No one likes a micromanager. A micromanaging boss not only increases their own workload. But they also undermine trust, stifle leadership skills, and increase anxiety in the workplace. 

Good leaders need to delegate effectively to help teams spread the work across themselves. Team collaboration simply wouldn’t work without effective delegation. 

3. Implement a decision-making framework 

You’ve probably heard of plenty of decision-making acronyms in the workplace. There’s a reason why so many exist — decisions are hard to get right. 

Especially as organizations and teams grow, decisions can get more complicated. Ultimately, it can lead to missed opportunities and stunted productivity. 

At BetterUp, we use the ACID framework: approver, contributor, informed, and driver. At the start of any cross-functional or collaborative project, we outline the ACID. Doing so helps every teammate understand their roles and what’s expected of them. It helps to manage clear expectations, set clear goals , and effectively collaborate. 

4. Empower open and transparent communication 

Especially with remote teams, communication can slip through the cracks. I’ve worked for companies where I was afraid to admit or share a mistake that I made. Instead, I held onto that mistake, knowing all too well that my hiccup could impact the final outcome of a project. Why? Open, transparent communication — and psychological safety — wasn’t encouraged. 

At BetterUp, my manager often encourages open communication. I’m not afraid to make a mistake anymore because I’m not afraid to ask for help or to own that mistake. I know that I can learn from my failures instead of hiding them. 

In order to effectively communicate, your employees need to feel empowered to communicate openly and transparently. This can be the good things, like hitting key milestones or goals. But it should, more importantly, be the challenging things. Like when something doesn’t go as planned or the strategy or problem has evolved. 

5. Create professional development opportunities 

Like many skills, collaboration isn’t a skill that people are born with. It takes awareness, intention, and work. 

But in order to learn and grow, employees need opportunities to do so. They need professional development avenues to help build the skills and capabilities they need to succeed. How are you offering employee development opportunities? In what ways can you make sure your employees know you support their learning pathways? 

6. Build conflict resolution skills 

Conflict in the workplace is inevitable. We’re all human with perspectives, opinions, and experiences that are bound to clash. Especially if there are misaligned priorities, teams will come across conflict — especially when trying to collaborate. 

In order to collaborate effectively, teams need to understand how to resolve conflict in healthy ways. Again, this goes back to building trust. 

For example, leaders can host team building or virtual team building events to help employees get to know each other. Or your leaders can offer workshops or courses focused on how to handle conflict in the office. 

7. Set key milestones and goals 

Collaboration may not be an intuitive aspect of a goal. But at BetterUp, it’s something that we think about often. 

As a company, we operate on OKRs: objectives and key results. They’re company-wide goals that help keep us focused on what’s most important and what will have the most impact. And there’s not a single OKR that doesn’t require cross-collaboration. 

When you’re setting your business goals, take a minute to notice the threads. What goals can help empower collaboration across teams? What goals will have the most impact? How are you adjusting or setting goals to encourage collaboration to maximize your employees’ potential? 

8. Gather feedback 

Collaboration isn’t a one-and-done skill. If we boil it down to its joints, it’s a relationship. Collaboration is constantly going to evolve because people and relationships evolve. And one of the most important things in any sort of relationship is feedback. 

How are you gathering feedback on how you’re collaborating? How are you encouraging your team members to do the same? Do you follow up with your employees to ask how things are going with collaborative projects? 

When I work with a new team or establish a process with a teammate, I tend to always ask for feedback. It’s a good practice to get into the habit of. It helps to establish trust, safety, and opens the door for open communication. But it also helps to keep bettering things — processes, relationships, and projects. 

Start collaborating effectively 

Collaborating well is about connecting with others, gathering feedback, and bettering the relationship. The outcomes can result in increased productivity, performance, and trust. But at its core, effective collaboration is about bettering people and relationships. 

No matter where your business is in its collaboration journey, BetterUp can help. Access to coaching can help your employees build key competencies to be able to work together well. 

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Madeline Miles

Madeline is a writer, communicator, and storyteller who is passionate about using words to help drive positive change. She holds a bachelor's in English Creative Writing and Communication Studies and lives in Denver, Colorado. In her spare time, she's usually somewhere outside (preferably in the mountains) — and enjoys poetry and fiction.

What the Abilene paradox is and ways to minimize it

6 winning strategies to improve team dynamics, team collaboration 101: learning the art of working together, 7 critical teamwork skills and how to develop them, self-disclosure at work: strengthening team bonds and communication, 10 best collaboration tools to level up remote teamwork, 13 benefits of collaboration your organization needs to know, 5 tips for breaking down silos and fostering collaboration at work, what will make or break your next role find out why teamwork matters, the importance of teamwork in the workplace with tips to improve, build the dream team you need. 9 steps show you how, collaboration at work: the secret to getting better results, showing respect at workplace: for managers, peers, and ourselves, what makes a good team, and how can you build one, 12 benefits of teamwork that showcase the power of collaboration, stay connected with betterup, get our newsletter, event invites, plus product insights and research..

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Collaborative Problem Solving

The key to solving shared problems relies, in large measure, in the communication skills of the people associated with those problems. Although designed specifically for use in educational settings, Collaborative Problem Solving outlines the communication skills needed to solve problems within any group. These skills include listening actively, reflecting another person’s statements back to that person, asking questions, and summarizing. The skills are then incorporated within a problem-solving process that can be used to structure meetings between two or more people, especially those working together to support specific students. Numerous examples of this process are presented throughout the book, as are opportunities to practice the skills.This process is appropriate for any educator, parent, or person interested in improving communication while working with others to help students succeed. It is especially useful for teachers in cooperative teaching relationships and in collaborative relationships between general and special educators.

Teacher or Student Feedback on Collaborative Problem Solving Co-Author Ann Knackendoffel says, "The response from teachers in the field has been very supportive. They have been much more visionary than I was when I first created Collaborative Problem Solving and found a multitude of uses for the model beyond just their collaboration with general and special education teachers. They have found the process helpful with working one-on-one with colleagues, but they have been most enthusiastic about how it helps when they have multiple participants in a meeting such as a student improvement or IEP meeting. Teachers have also reported it useful when they are meeting with parents or working with students. They find the Problem-Solving Worksheet keeps them on task and focused on the problem rather than straying off into areas that detract from solution finding."

Author(s): E. Ann Knackendoffel, Suzanne M. Robinson, Donald D. Deshler, and Jean B. Schumaker

Publication Info: Edge Enterprises, 1992

Available from Edge Enterprises, Inc.

Collaborative Problem Solving (CPS)

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Collaborative and Proactive Solutions (CPS)

Introduction

The Collaborative Problem Solving model (CPS) was developed by Dr. Ross Greene and his colleagues at Massachusetts General Hospital’s Department of Psychiatry. The model was created as a reconceptualization of the factors that lead to challenging or oppositional behaviors, and a shift in the targets of intervention for these behaviors. Dr. Greene published the book The Explosive Child in 1998, which was the first detailed description of CPS. Multiple research studies (detailed below) have followed in the time since the book’s publication.

In the subsequent years there was a split between Dr. Greene and Massachusetts General Hospital. Massachusetts General Hospital has continued its work on CPS via the “Think:Kids” program under the direction of Dr. Stuart Ablon, who had previously collaborated with Dr. Greene. Dr. Greene has founded a nonprofit organization called “Lives in the Balance” to further his work on CPS, which...

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Rosen, B. (2020). Collaborative Problem Solving (CPS). In: Lebow, J., Chambers, A., Breunlin, D.C. (eds) Encyclopedia of Couple and Family Therapy. Springer, Cham. https://doi.org/10.1007/978-3-319-15877-8_1160-1

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DOI : https://doi.org/10.1007/978-3-319-15877-8_1160-1

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10 Main Benefits of Collaborative Learning

magine this —  a group of intrepid explorers embarks on a challenging mountain ascent. As they navigate rugged terrain and conquer obstacles together, a profound lesson unfolds — the strength lies not just in individual skills but in the harmonious synergy of collective effort. This adventure mirrors the essence of collaborative learning, where each participant contributes their unique expertise to conquer the peaks of knowledge.

Let's delve deep into the exhilarating journey of why collaboration is important in education, top collaborative learning benefits, and how to achieve real collective triumph through technologies.

What is Collaborative Learning?

Collaborative learning stands as a strategic approach rooted in group dynamics, bringing teams together to achieve a shared objective. A pivotal aspect of collaborative teaching strategy lies in showcasing the positive impact of individual autonomy and the expression of personal abilities while upholding personal responsibility. Within collaborative learning, students engage in joint efforts on tasks or projects.

Crucially, it's worth noting that students collaboratively contribute to a collective goal in this learning style, each tackling a distinct task . The concept hinges on individuals within this environment honing their skills, and witnessing firsthand how their contributions ripple through the group.

Beyond the academic realm, this collaborative synergy extends to the professional sphere, fostering camaraderie and fortifying bonds among teams. It becomes an avenue for individuals to acquaint themselves with their colleagues, gaining insights into both strengths and weaknesses. 

This social interplay not only contributes to skill development but also cultivates essential interpersonal abilities like problem-solving, communication, and collaboration.

10 Benefits of Collaborative Learning

Collaborative learning makes the learning process enjoyable but also serves as an effective avenue for skill development. Here are ten key benefits of collaborative learning:

#1. Enhancing Problem-Solving Skills

Collaborative learning projects often require groups to complete a task or solve a problem. Throughout this process, participants encounter a spectrum of potential solutions from individuals with diverse opinions and perspectives. People contribute unique ideas that their teammates might not have considered. Subsequently, the group engages in discussions and analysis to identify the best solution.

💡 Working on a problem or task as a group helps individuals develop their own problem-solving skills and discover new approaches to handling various work situations.

#2. Fostering Social Interaction

Effective collaborative learning groups necessitate teamwork. These groups may include individuals with different personality types. By working together and sharing ideas, participants can practice and enhance social skills such as active listening, empathy, and respect.

💡 Solid social skills contribute to the formation and maintenance of strong personal and professional relationships.

#3. Promoting Diversity

Collaborative learning typically brings together people from diverse backgrounds, beliefs, educational levels, and ages. This diversity can introduce new ideas and perspectives unique to one's culture or education.

💡 As a result, collaborative learning fosters open-mindedness and acceptance in the workplace.

#4. Improving Communication Skills

Collaborative learning relies on effective communication to accomplish a task. Participants use verbal communication skills to share ideas, explain concepts, and provide clear and concise feedback. They also employ written communication skills if the task involves activities like group writing or peer editing.

💡 The more individuals practice communication skills in these environments, the stronger these skills tend to become.

#5. Inspiring Creativity

The amalgamation of different viewpoints and ideas often results in creative solutions in collaborative learning tasks. An individual's idea or suggestion can inspire a new and creative thought from other team members. Collaborative learning nurtures this creative thinking by blending perspectives and personality types.

Imagine yourself in a product designers' brainstorming session at Apple. As the team discusses refining the user interface for a new device, one designer's concept for an intuitive navigation system might ignite a flurry of ideas from others.

💡 This collaborative exchange sparks creative synergies, culminating in the development of an innovative interface that seamlessly integrates user experience with cutting-edge design.

#6. Building Trust

Collaborative learning groups must work together to achieve their goal, relying on each other for success. Consequently, they must learn to trust one another.

💡 This trust can carry over into future interactions in the workplace, potentially leading to increased productivity and morale.

#7. Boosting Confidence

When working in a group, team members support each other as they progress toward a common goal. Collaborative learning can be particularly beneficial for shy, anxious, or introverted individuals. 

💡 A supportive group atmosphere can help them build confidence, encouraging them to share their opinions and contribute to discussions. Consequently, their confidence may grow as they realize their value to the group.

#8. Encouraging Commitment

Successful collaborative learning requires the participation of all participants. It encourages passive individuals to become more involved and active in the project or discussion. 

This type of learning is an effective way to engage quiet or inactive peers, making them more interested and involved in a project.

💡 Engaged individuals in their work are often more productive and have a more positive attitude.

#9. Fostering Enjoyment

Learning in a group is more enjoyable and less tedious than reading training materials, listening to a lecture, or watching an instructional video alone. Many collaborative learning activities include fun tasks such as solving puzzles, role-playing, and games. 

For instance, in a virtual group project where students collaborate on a case study, they engage in lively discussions via video conferencing, share diverse perspectives through online forums, and simulate problem-solving scenarios using interactive tools. During collaborative learning exercises, teams often feel more comfortable, relaxed, and capable of laughing and having fun.

💡 When learning experiences are enjoyable, people are more likely to remember what they learned and look forward to learning more in the future.

#10. Cultivating Critical Thinking Skills

Collaborative learning can encourage participants to think at a higher level. They must analyze and discuss information to make the best decision or solve a problem. By having to explain their ideas and interpret and evaluate others' ideas, individuals can improve their critical thinking skills.

💡 Critical thinking is crucial for conflict resolution, idea generation, and ensuring projects are completed smoothly and efficiently.

Practice that Builds Relationships

Collaborative learning leads to forging new friendships and strengthening existing relationships. It often brings together people who might not have met or worked together under normal circumstances.

As team members spend time working together on a collaborative learning project, they get to know each other better. This can lead to positive personal and professional relationships and higher morale.

Lastly, if a supervisor or teacher participates in or leads the collaborative learning effort, it can help that person better understand their employees and strengthen their professional relationships.

The Role of Technology in Collaborative Learning

Utilizing technology has the potential to significantly enhance the advantages of collaborative learning, providing innovative solutions to connect and involve students in meaningful ways. Digital platforms play a pivotal role in fostering cooperation and engagement within the educational landscape.

▪️ Learning Management Systems

Utilizing learning management systems such as EducateMe , Canvas, Moodle, etc., goes beyond simple collaboration in education; these platforms serve as comprehensive hubs for organizing and delivering educational resources. Moreover, they provide valuable insights into student progress and performance, enabling educators to tailor their teaching methods to address individual needs effectively.

▪️ Collaborative Learning Platforms

Digital platforms such as Google Classroom, Microsoft Teams, and Zoom exemplify the power of real-time collaboration, streamlining the process for students to cooperate seamlessly. Through these platforms, students can effortlessly work together, share resources, and engage in discussions, transcending geographical constraints for a more inclusive learning environment.

▪️ Interactive Learning Tools

Incorporating interactive learning tools like Kahoot, Quizlet, and Padlet introduces an element of gamification into the learning process, transforming education into an interactive and engaging experience. For instance, Kahoot allows educators to create quizzes with competitive elements, fostering a sense of excitement and competition among students, ultimately enhancing their retention of information.

▪️ Artificial Intelligence

Artificial intelligence technologies can be employed to create personalized learning experiences for students even in collaborative learning. AI algorithms can analyze individual learning styles and preferences, tailoring educational content to meet the specific needs of each student. This fosters a more adaptive and inclusive learning environment, where students can progress at their own pace and focus on areas that require additional attention.

▪️ Virtual Reality 

Integrating virtual reality into collaborative learning brings a new dimension to education. Students can engage in immersive experiences, such as virtual group field trips or simulations, fostering a deeper understanding of complex concepts. For example, exploring ancient civilizations through a virtual tour or conducting virtual science experiments enhances the educational journey, making it more captivating and memorable.

Discover more about the best technologies for collaborative learning in our guide “ 10+ Best Collaborative Learning Tools for 2023 ”. 

Final Thought

In the words of Helen Keller, "Alone we can do so little; together we can do so much." The crux of collaborative learning lies in this conviction of the potency of teamwork and collective intelligence.

Collaborative learning presents a multitude of advantages and holds the potential to revolutionize the contemporary education system. Educators can amplify student engagement and improve learning outcomes significantly by implementing technology capabilities.

Here, EducateMe collaborative LMS will be your perfect partner. Discover its collaborative learning capabilities , or simply give it a spin with a free trial version .

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Title: cps-taskforge: generating collaborative problem solving environments for diverse communication tasks.

Abstract: Teams can outperform individuals; could adding AI teammates further bolster performance of teams solving problems collaboratively? Collaborative problem solving (CPS) research commonly studies teams with two agents (human-human or human-AI), but team research literature finds that, for complex tasks, larger teams are more effective. Progress in studying collaboration with more than two agents, through textual records of team interactions, is hindered by a major data challenge: available CPS corpora are predominantly dyadic, and adapting pre-existing CPS tasks to more agents is non-trivial. We address this data challenge by developing a CPS task generator, CPS-TaskForge, that can produce environments for studying CPS under a wide array of conditions, and releasing a CPS task design checklist grounded in the theoretical PISA 2015 CPS framework to help facilitate the development of CPS corpora with more agents. CPS-TaskForge takes the form of a resource management (tower defense) game, and different CPS tasks can be studied by manipulating game design parameters. We conduct a case study with groups of 3-4 humans to validate production of diverse natural language CPS communication in a game instance produced by CPS-TaskForge. We discuss opportunities for advancing research in CPS (both with human-only and human-AI teams) using different task configurations. We will release data and code.

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Managing Conflict with Humor

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What is conflict?

Causes of conflict in a relationship, how do you respond to conflict, conflict resolution, stress, and emotions, core skill 1: quick stress relief, core skill 2: emotional awareness, nonverbal communication and conflict resolution, more tips for managing and resolving conflict, conflict resolution skills.

Whatever the cause of disagreements and disputes at home or work, these skills can help you resolve conflict in a constructive way and keep your relationships strong and growing.

Conflict is a normal part of any healthy relationship. After all, two people can’t be expected to agree on everything, all the time. The key is not to fear or try to avoid conflict but to learn how to resolve it in a healthy way.

When conflict is mismanaged, it can cause great harm to a relationship, but when handled in a respectful, positive way, conflict provides an opportunity to strengthen the bond between two people. Whether you’re experiencing conflict at home, work, or school, learning these skills can help you resolve differences in a healthy way and build stronger, more rewarding relationships.

Conflict 101

• A conflict is more than just a disagreement. It is a situation in which one or both parties perceive a threat (whether or not the threat is real).
• Conflicts continue to fester when ignored. Because conflicts involve perceived threats to our well-being and survival, they stay with us until we face and resolve them.
• We respond to conflicts based on our perceptions of the situation, not necessarily to an objective review of the facts. Our perceptions are influenced by our life experiences, culture, values, and beliefs.
• Conflicts trigger strong emotions. If you aren’t comfortable with your emotions or able to manage them in times of stress, you won’t be able to resolve conflict successfully.
• Conflicts are an opportunity for growth. When you’re able to resolve conflict in a relationship, it builds trust. You can feel secure knowing your relationship can survive challenges and disagreements.

Conflict arises from differences, both large and small. It occurs whenever people disagree over their values, motivations, perceptions, ideas, or desires. Sometimes these differences appear trivial, but when a conflict triggers strong feelings, a deep personal need is often at the core of the problem. These needs can range from the need to feel safe and secure or respected and valued, to the need for greater closeness and intimacy.

Think about the opposing needs of a toddler and a parent. The child’s need is to explore, so venturing to the street or the cliff edge meets that need. But the parent’s need is to protect the child’s safety, a need that can only be met by limiting the toddler’s exploration. Since these needs are at odds, conflict arises.

The needs of each party play an important role in the long-term success of a relationship. Each deserves respect and consideration. In personal relationships, a lack of understanding about differing needs can result in distance, arguments, and break-ups. In the workplace, differing needs can result in broken deals, decreased profits, and lost jobs.

[Read: Tips for Building a Healthy Relationship]

When you can recognize conflicting needs and are willing to examine them with compassion and understanding, it can lead to creative problem solving, team building, and stronger relationships.

Speak to a Licensed Therapist

BetterHelp is an online therapy service that matches you to licensed, accredited therapists who can help with depression, anxiety, relationships, and more. Take the assessment and get matched with a therapist in as little as 48 hours.

Do you fear conflict or avoid it at all costs? If your perception of conflict comes from painful memories from early childhood or previous unhealthy relationships, you may expect all disagreements to end badly. You may view conflict as demoralizing, humiliating, or something to fear. If your early life experiences left you feeling powerless or out of control, conflict may even be traumatizing for you.

If you’re afraid of conflict, it can become a self-fulfilling prophecy. When you enter a conflict situation already feeling threatened, it’s tough to deal with the problem at hand in a healthy way. Instead, you’re more likely to either shut down or blow up in anger.

Healthy and unhealthy ways of managing and resolving conflict

Conflict triggers strong emotions and can lead to hurt feelings, disappointment, and discomfort. When handled in an unhealthy manner, it can cause irreparable rifts, resentments, and break-ups. But when conflict is resolved in a healthy way, it increases your understanding of the other person, builds trust, and strengthens your relationships.

If you are out of touch with your feelings or so stressed that you can only pay attention to a limited number of emotions, you won’t be able to understand your own needs. This will make it hard to communicate with others and establish what’s really troubling you. For example, couples often argue about petty differences—the way she hangs the towels, the way he slurps his soup—rather than what is  really bothering them.

The ability to successfully resolve conflict depends on your ability to:

• Manage stress quickly while remaining alert and calm. By staying calm, you can accurately read and interpret verbal and nonverbal communication.
• Control your emotions and behavior. When you’re in control of your emotions, you can communicate your needs without threatening, intimidating, or punishing others.
• Pay attention to the  feelings being expressed as well as the spoken words of others.
• Be aware of and respect differences. By avoiding disrespectful words and actions, you can almost always resolve a problem faster.

To successfully resolve a conflict, you need to learn and practice two core skills:

• Quick stress relief: the ability to quickly relieve stress in the moment.
• Emotional awareness: the ability to remain comfortable enough with your emotions to react in constructive ways, even in the midst of a perceived attack.

Being able to manage and relieve stress in the moment is the key to staying balanced, focused, and in control, no matter what challenges you face. If you don’t know how to stay centered and in control of yourself, you will become overwhelmed in conflict situations and unable to respond in healthy ways.

Psychologist Connie Lillas uses a driving analogy to describe the three most common ways people respond when they’re overwhelmed by stress:

Foot on the gas. An angry or agitated stress response. You’re heated, keyed up, overly emotional, and unable to sit still.

Foot on the brake. A withdrawn or depressed stress response. You shut down, space out, and show very little energy or emotion.

Foot on both gas and brake. A tense and frozen stress response. You “freeze” under pressure and can’t do anything. You look paralyzed, but under the surface you’re extremely agitated.

How stress affects conflict resolution

Stress interferes with the ability to resolve conflict by limiting your ability to:

• Accurately read another person’s body language .
• Hear what someone is really saying.
• Be aware of your own feelings.
• Be in touch with your own, deep-rooted needs.
• Communicate your needs clearly.

Is stress a problem for you?

You may be so used to feeling stressed that you’re not even aware you  are stressed. Stress may pose a problem in your life if you identify with the following:

• You often feel tense or tight somewhere in your body.
• You’re not aware of movement in your chest or stomach when you breathe.
• Conflict absorbs your time and attention.

Learn how to manage stress in the moment

One of the most reliable ways to rapidly reduce stress is by engaging one or more of your senses—sight, sound, taste, smell, touch—or through movement. You could squeeze a stress ball, smell a relaxing scent, taste a soothing cup of tea, or look at a treasured photograph. We all tend to respond differently to sensory input, often depending on how we respond to stress, so take some time to find things that are soothing to you. Read: Quick Stress Relief .

Emotional awareness is the key to understanding yourself and others. If you don’t know how or why you feel a certain way, you won’t be able to communicate effectively or resolve disagreements.

[Read: Improving Emotional Intelligence]

Although knowing your own feelings may sound simple, many people ignore or try to sedate strong emotions like anger, sadness, and fear. Your ability to handle conflict, however, depends on being connected to these feelings. If you’re afraid of strong emotions or if you insist on finding solutions that are strictly rational, your ability to face and resolve differences will be limited.

Why emotional awareness is a key factor in resolving conflict

Emotional awareness—the consciousness of your  moment-to-moment emotional experience—and the ability to manage all of your feelings appropriately, is the basis of a communication process that can resolve conflict.

Emotional awareness helps you to:

• Understand what is really troubling other people
• Understand yourself, including what is really troubling you
• Stay motivated until the conflict is resolved
• Communicate clearly and effectively
• Interest and influence others

Assessing your level of emotional awareness

The following quiz helps you assess your level of emotional awareness. Answer the following questions with:  almost never, occasionally, often, very often, or  almost always . There are no right or wrong responses, only the opportunity to become better acquainted with your emotional responses.

What kind of relationship do you have with your emotions?

• Do you experience feelings that flow, encountering one emotion after another as your experiences change from moment to moment?
• Are your emotions accompanied by physical sensations that you experience in places like your stomach or chest?
• Do you experience distinct feelings and emotions, such as anger, sadness, fear, and joy, which are evident in different facial expressions?
• Can you experience intense feelings that are strong enough to capture both your own attention and that of others?
• Do you pay attention to your emotions? Do they factor into your decision-making?

If any of these experiences are unfamiliar, your emotions may be “turned” down or even off. In either case, you may need help developing your emotional awareness. You can do this by using Helpguide’s free Emotional Intelligence Toolkit.

When people are in the middle of a conflict, the words they use rarely convey the issues at the heart of the problem. But by paying close attention to the other person’s nonverbal signals or “body language,” such as facial expressions, posture, gestures, and tone of voice, you can better understand what the person is really saying. This will allow you to respond in a way that builds trust, and gets to the root of the problem.

[Read: Nonverbal Communication and Body Language]

Your ability to accurately read another person depends on your own emotional awareness. The more aware you are of your own emotions, the easier it will be for you to pick up on the wordless clues that reveal what others are feeling. Think about what you are transmitting to others during conflict, and if what you say matches your body language. If you say “I’m fine,” but you clench your teeth and look away, then your body is clearly signaling you are anything but “fine.” A calm tone of voice, a reassuring touch, or an interested facial expression can go a long way toward relaxing a tense exchange.

You can ensure that the process of managing and resolving conflict is as positive as possible by sticking to the following guidelines:

Listen for what is felt as well as said. When you really listen, you connect more deeply to your own needs and emotions, and to those of other people. Listening also strengthens, informs, and makes it easier for others to hear you when it’s your turn to speak.

Make conflict resolution the priority rather than winning or “being right.” Maintaining and strengthening the relationship, rather than “winning” the argument, should always be your first priority. Be respectful of the other person and their viewpoint.

Focus on the present. If you’re holding on to grudges based on past conflicts, your ability to see the reality of the current situation will be impaired. Rather than looking to the past and assigning blame, focus on what you can do in the here-and-now to solve the problem.

Pick your battles. Conflicts can be draining, so it’s important to consider whether the issue is really worth your time and energy. Maybe you don’t want to surrender a parking space if you’ve been circling for 15 minutes, but if there are dozens of empty spots, arguing over a single space isn’t worth it.

Be willing to forgive. Resolving conflict is impossible if you’re unwilling or unable to forgive others. Resolution lies in releasing the urge to punish, which can serve only to deplete and drain your life.

Know when to let something go. If you can’t come to an agreement, agree to disagree. It takes two people to keep an argument going. If a conflict is going nowhere, you can choose to disengage and move on.

Using humor in conflict resolution

You can avoid many confrontations and resolve arguments and disagreements by communicating in a humorous way . Humor can help you say things that might otherwise be difficult to express without offending someone. However, it’s important that you laugh with the other person, not at them. When humor and play are used to reduce tension and anger, reframe problems, and put the situation into perspective, the conflict can actually become an opportunity for greater connection and intimacy.

More Information

• CR Kit - Covers causes of conflict, different conflict styles, and fair fighting guidelines to help you positively resolve disagreements. (Conflict Resolution Network)
• 12 Skills Summary - A 12-step conflict resolution training kit. (Conflict Resolution Network)
• Effective Communication - The art of listening in conflict resolution. (University of Maryland)
• 10.3 Causes and Outcomes of Conflict – Organizational Behavior . (n.d.). Retrieved May 25, 2022, from Link
• Başoğul, C., & Özgür, G. (2016). Role of Emotional Intelligence in Conflict Management Strategies of Nurses. Asian Nursing Research , 10(3), 228–233. Link
• Corcoran, Kathleen O’Connell, and Brent Mallinckrodt. “Adult Attachment, Self-Efficacy, Perspective Taking, and Conflict Resolution.” Journal of Counseling & Development 78, no. 4 (2000): 473–83. Link
• Yarnell, Lisa M., and Kristin D. Neff. “Self-Compassion, Interpersonal Conflict Resolutions, and Well-Being.” Self and Identity 12, no. 2 (March 1, 2013): 146–59. Link
• Tucker, Corinna Jenkins, Susan M. Mchale, and Ann C. Crouter. “Conflict Resolution: Links with Adolescents’ Family Relationships and Individual Well-Being.” Journal of Family Issues 24, no. 6 (September 1, 2003): 715–36. Link

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