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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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Introduction to Problem Solving Skills

What is problem solving and why is it important.

The ability to solve problems is a basic life skill and is essential to our day-to-day lives, at home, at school, and at work. We solve problems every day without really thinking about how we solve them. For example: it’s raining and you need to go to the store. What do you do? There are lots of possible solutions. Take your umbrella and walk. If you don't want to get wet, you can drive, or take the bus. You might decide to call a friend for a ride, or you might decide to go to the store another day. There is no right way to solve this problem and different people will solve it differently.

Problem solving is the process of identifying a problem, developing possible solution paths, and taking the appropriate course of action.

Why is problem solving important? Good problem solving skills empower you not only in your personal life but are critical in your professional life. In the current fast-changing global economy, employers often identify everyday problem solving as crucial to the success of their organizations. For employees, problem solving can be used to develop practical and creative solutions, and to show independence and initiative to employers.

Throughout this case study you will be asked to jot down your thoughts in idea logs. These idea logs are used for reflection on concepts and for answering short questions. When you click on the "Next" button, your responses will be saved for that page. If you happen to close the webpage, you will lose your work on the page you were on, but previous pages will be saved. At the end of the case study, click on the "Finish and Export to PDF" button to acknowledge completion of the case study and receive a PDF document of your idea logs.

What Does Problem Solving Look Like?

The ability to solve problems is a skill, and just like any other skill, the more you practice, the better you get. So how exactly do you practice problem solving? Learning about different problem solving strategies and when to use them will give you a good start. Problem solving is a process. Most strategies provide steps that help you identify the problem and choose the best solution. There are two basic types of strategies: algorithmic and heuristic.

Algorithmic strategies are traditional step-by-step guides to solving problems. They are great for solving math problems (in algebra: multiply and divide, then add or subtract) or for helping us remember the correct order of things (a mnemonic such as “Spring Forward, Fall Back” to remember which way the clock changes for daylight saving time, or “Righty Tighty, Lefty Loosey” to remember what direction to turn bolts and screws). Algorithms are best when there is a single path to the correct solution.

But what do you do when there is no single solution for your problem? Heuristic methods are general guides used to identify possible solutions. A popular one that is easy to remember is IDEAL [ Bransford & Stein, 1993 ] :

• I dentify the problem
• D efine the context of the problem
• E xplore possible strategies
• A ct on best solution

IDEAL is just one problem solving strategy. Building a toolbox of problem solving strategies will improve your problem solving skills. With practice, you will be able to recognize and use multiple strategies to solve complex problems.

Watch the video

What is the best way to get a peanut out of a tube that cannot be moved? Watch a chimpanzee solve this problem in the video below [ Geert Stienissen, 2010 ].

[PDF transcript]

Describe the series of steps you think the chimpanzee used to solve this problem.

• [Page 2: What does Problem Solving Look Like?] Describe the series of steps you think the chimpanzee used to solve this problem.

Think of an everyday problem you've encountered recently and describe your steps for solving it.

• [Page 2: What does Problem Solving Look Like?] Think of an everyday problem you've encountered recently and describe your steps for solving it.

Developing Problem Solving Processes

Problem solving is a process that uses steps to solve problems. But what does that really mean? Let's break it down and start building our toolbox of problem solving strategies.

What is the first step of solving any problem? The first step is to recognize that there is a problem and identify the right cause of the problem. This may sound obvious, but similar problems can arise from different events, and the real issue may not always be apparent. To really solve the problem, it's important to find out what started it all. This is called identifying the root cause .

Example: You and your classmates have been working long hours on a project in the school's workshop. The next afternoon, you try to use your student ID card to access the workshop, but discover that your magnetic strip has been demagnetized. Since the card was a couple of years old, you chalk it up to wear and tear and get a new ID card. Later that same week you learn that several of your classmates had the same problem! After a little investigation, you discover that a strong magnet was stored underneath a workbench in the workshop. The magnet was the root cause of the demagnetized student ID cards.

The best way to identify the root cause of the problem is to ask questions and gather information. If you have a vague problem, investigating facts is more productive than guessing a solution. Ask yourself questions about the problem. What do you know about the problem? What do you not know? When was the last time it worked correctly? What has changed since then? Can you diagram the process into separate steps? Where in the process is the problem occurring? Be curious, ask questions, gather facts, and make logical deductions rather than assumptions.

Watch Adam Savage from Mythbusters, describe his problem solving process [ ForaTv, 2010 ]. As you watch this section of the video, try to identify the questions he asks and the different strategies he uses.

Adam Savage shared many of his problem solving processes. List the ones you think are the five most important. Your list may be different from other people in your class—that's ok!

• [Page 3: Developing Problem Solving Processes] Adam Savage shared many of his problem solving processes. List the ones you think are the five most important.

“The ability to ask the right question is more than half the battle of finding the answer.” — Thomas J. Watson , founder of IBM

Voices From the Field: Solving Problems

In manufacturing facilities and machine shops, everyone on the floor is expected to know how to identify problems and find solutions. Today's employers look for the following skills in new employees: to analyze a problem logically, formulate a solution, and effectively communicate with others.

In this video, industry professionals share their own problem solving processes, the problem solving expectations of their employees, and an example of how a problem was solved.

Meet the Partners:

• Taconic High School in Pittsfield, Massachusetts, is a comprehensive, fully accredited high school with special programs in Health Technology, Manufacturing Technology, and Work-Based Learning.
• Berkshire Community College in Pittsfield, Massachusetts, prepares its students with applied manufacturing technical skills, providing hands-on experience at industrial laboratories and manufacturing facilities, and instructing them in current technologies.
• H.C. Starck in Newton, Massachusetts, specializes in processing and manufacturing technology metals, such as tungsten, niobium, and tantalum. In almost 100 years of experience, they hold over 900 patents, and continue to innovate and develop new products.
• Nypro Healthcare in Devens, Massachusetts, specializes in precision injection-molded healthcare products. They are committed to good manufacturing processes including lean manufacturing and process validation.

Making Decisions

Now that you have a couple problem solving strategies in your toolbox, let's practice. In this exercise, you are given a scenario and you will be asked to decide what steps you would take to identify and solve the problem.

Scenario: You are a new employee and have just finished your training. As your first project, you have been assigned the milling of several additional components for a regular customer. Together, you and your trainer, Bill, set up for the first run. Checking your paperwork, you gather the tools and materials on the list. As you are mounting the materials on the table, you notice that you didn't grab everything and hurriedly grab a few more items from one of the bins. Once the material is secured on the CNC table, you load tools into the tool carousel in the order listed on the tool list and set the fixture offsets.

Bill tells you that since this is a rerun of a job several weeks ago, the CAD/CAM model has already been converted to CNC G-code. Bill helps you download the code to the CNC machine. He gives you the go-ahead and leaves to check on another employee. You decide to start your first run.

What problems did you observe in the video?

• [Page 5: Making Decisions] What problems did you observe in the video?
• What do you do next?
• Try to fix it yourself.
• Ask your trainer for help.

As you are cleaning up, you think about what happened and wonder why it happened. You try to create a mental picture of what happened. You are not exactly sure what the end mill hit, but it looked like it might have hit the dowel pin. You wonder if you grabbed the correct dowel pins from the bins earlier.

You can think of two possible next steps. You can recheck the dowel pin length to make sure it is the correct length, or do a dry run using the CNC single step or single block function with the spindle empty to determine what actually happened.

• Check the dowel pins.
• Use the single step/single block function to determine what happened.

You notice that your trainer, Bill, is still on the floor and decide to ask him for help. You describe the problem to him. Bill asks if you know what the end mill ran into. You explain that you are not sure but you think it was the dowel pin. Bill reminds you that it is important to understand what happened so you can fix the correct problem. He suggests that you start all over again and begin with a dry run using the single step/single block function, with the spindle empty, to determine what it hit. Or, since it happened at the end, he mentions that you can also check the G-code to make sure the Z-axis is raised before returning to the home position.

• Run the single step/single block function.
• Edit the G-code to raise the Z-axis.

You finish cleaning up and check the CNC for any damage. Luckily, everything looks good. You check your paperwork and gather the components and materials again. You look at the dowel pins you used earlier, and discover that they are not the right length. As you go to grab the correct dowel pins, you have to search though several bins. For the first time, you are aware of the mess - it looks like the dowel pins and other items have not been put into the correctly labeled bins. You spend 30 minutes straightening up the bins and looking for the correct dowel pins.

Finally finding them, you finish setting up. You load tools into the tool carousel in the order listed on the tool list and set the fixture offsets. Just to make sure, you use the CNC single step/single block function, to do a dry run of the part. Everything looks good! You are ready to create your first part. The first component is done, and, as you admire your success, you notice that the part feels hotter than it should.

You wonder why? You go over the steps of the process to mentally figure out what could be causing the residual heat. You wonder if there is a problem with the CNC's coolant system or if the problem is in the G-code.

• Look at the G-code.

After thinking about the problem, you decide that maybe there's something wrong with the setup. First, you clean up the damaged materials and remove the broken tool. You check the CNC machine carefully for any damage. Luckily, everything looks good. It is time to start over again from the beginning.

You again check your paperwork and gather the tools and materials on the setup sheet. After securing the new materials, you use the CNC single step/single block function with the spindle empty, to do a dry run of the part. You watch carefully to see if you can figure out what happened. It looks to you like the spindle barely misses hitting the dowel pin. You determine that the end mill was broken when it hit the dowel pin while returning to the start position.

After conducting a dry run using the single step/single block function, you determine that the end mill was damaged when it hit the dowel pin on its return to the home position. You discuss your options with Bill. Together, you decide the best thing to do would be to edit the G-code and raise the Z-axis before returning to home. You open the CNC control program and edit the G-code. Just to make sure, you use the CNC single step/single block function, to do another dry run of the part. You are ready to create your first part. It works. You first part is completed. Only four more to go.

As you are cleaning up, you notice that the components are hotter than you expect and the end mill looks more worn than it should be. It dawns on you that while you were milling the component, the coolant didn't turn on. You wonder if it is a software problem in the G-code or hardware problem with the CNC machine.

It's the end of the day and you decide to finish the rest of the components in the morning.

• You decide to look at the G-code in the morning.
• You leave a note on the machine, just in case.

You decide that the best thing to do would be to edit the G-code and raise the Z-axis of the spindle before it returns to home. You open the CNC control program and edit the G-code.

While editing the G-code to raise the Z-axis, you notice that the coolant is turned off at the beginning of the code and at the end of the code. The coolant command error caught your attention because your coworker, Mark, mentioned having a similar issue during lunch. You change the coolant command to turn the mist on.

• You decide to talk with your supervisor.
• You discuss what happened with a coworker over lunch.

As you reflect on the residual heat problem, you think about the machining process and the factors that could have caused the issue. You try to think of anything and everything that could be causing the issue. Are you using the correct tool for the specified material? Are you using the specified material? Is it running at the correct speed? Is there enough coolant? Are there chips getting in the way?

Wait, was the coolant turned on? As you replay what happened in your mind, you wonder why the coolant wasn't turned on. You decide to look at the G-code to find out what is going on.

From the milling machine computer, you open the CNC G-code. You notice that there are no coolant commands. You add them in and on the next run, the coolant mist turns on and the residual heat issues is gone. Now, its on to creating the rest of the parts.

Have you ever used brainstorming to solve a problem? Chances are, you've probably have, even if you didn't realize it.

You notice that your trainer, Bill, is on the floor and decide to ask him for help. You describe the problem with the end mill breaking, and how you discovered that items are not being returned to the correctly labeled bins. You think this caused you to grab the incorrect length dowel pins on your first run. You have sorted the bins and hope that the mess problem is fixed. You then go on to tell Bill about the residual heat issue with the completed part.

Together, you go to the milling machine. Bill shows you how to check the oil and coolant levels. Everything looks good at the machine level. Next, on the CNC computer, you open the CNC G-code. While looking at the code, Bill points out that there are no coolant commands. Bill adds them in and when you rerun the program, it works.

Bill is glad you mentioned the problem to him. You are the third worker to mention G-code issues over the last week. You noticed the coolant problems in your G-code, John noticed a Z-axis issue in his G-code, and Sam had issues with both the Z-axis and the coolant. Chances are, there is a bigger problem and Bill will need to investigate the root cause .

Talking with Bill, you discuss the best way to fix the problem. Bill suggests editing the G-code to raise the Z-axis of the spindle before it returns to its home position. You open the CNC control program and edit the G-code. Following the setup sheet, you re-setup the job and use the CNC single step/single block function, to do another dry run of the part. Everything looks good, so you run the job again and create the first part. It works. Since you need four of each component, you move on to creating the rest of them before cleaning up and leaving for the day.

It's a new day and you have new components to create. As you are setting up, you go in search of some short dowel pins. You discover that the bins are a mess and components have not been put away in the correctly labeled bins. You wonder if this was the cause of yesterday's problem. As you reorganize the bins and straighten up the mess, you decide to mention the mess issue to Bill in your afternoon meeting.

You describe the bin mess and using the incorrect length dowels to Bill. He is glad you mentioned the problem to him. You are not the first person to mention similar issues with tools and parts not being put away correctly. Chances are there is a bigger safety issue here that needs to be addressed in the next staff meeting.

In any workplace, following proper safety and cleanup procedures is always important. This is especially crucial in manufacturing where people are constantly working with heavy, costly and sometimes dangerous equipment. When issues and problems arise, it is important that they are addressed in an efficient and timely manner. Effective communication is an important tool because it can prevent problems from recurring, avoid injury to personnel, reduce rework and scrap, and ultimately, reduce cost, and save money.

You now know that the end mill was damaged when it hit the dowel pin. It seems to you that the easiest thing to do would be to edit the G-code and raise the Z-axis position of the spindle before it returns to the home position. You open the CNC control program and edit the G-code, raising the Z-axis. Starting over, you follow the setup sheet and re-setup the job. This time, you use the CNC single step/single block function, to do another dry run of the part. Everything looks good, so you run the job again and create the first part.

At the end of the day, you are reviewing your progress with your trainer, Bill. After you describe the day's events, he reminds you to always think about safety and the importance of following work procedures. He decides to bring the issue up in the next morning meeting as a reminder to everyone.

In any workplace, following proper procedures (especially those that involve safety) is always important. This is especially crucial in manufacturing where people are constantly working with heavy, costly, and sometimes dangerous equipment. When issues and problems arise, it is important that they are addressed in an efficient and timely manner. Effective communication is an important tool because it can prevent problems from recurring, avoid injury to personnel, reduce rework and scrap, and ultimately, reduce cost, and save money. One tool to improve communication is the morning meeting or huddle.

The next morning, you check the G-code to determine what is wrong with the coolant. You notice that the coolant is turned off at the beginning of the code and also at the end of the code. This is strange. You change the G-code to turn the coolant on at the beginning of the run and off at the end. This works and you create the rest of the parts.

Throughout the day, you keep wondering what caused the G-code error. At lunch, you mention the G-code error to your coworker, John. John is not surprised. He said that he encountered a similar problem earlier this week. You decide to talk with your supervisor the next time you see him.

You are in luck. You see your supervisor by the door getting ready to leave. You hurry over to talk with him. You start off by telling him about how you asked Bill for help. Then you tell him there was a problem and the end mill was damaged. You describe the coolant problem in the G-code. Oh, and by the way, John has seen a similar problem before.

Your supervisor doesn't seem overly concerned, errors happen. He tells you "Good job, I am glad you were able to fix the issue." You are not sure whether your supervisor understood your explanation of what happened or that it had happened before.

The challenge of communicating in the workplace is learning how to share your ideas and concerns. If you need to tell your supervisor that something is not going well, it is important to remember that timing, preparation, and attitude are extremely important.

It is the end of your shift, but you want to let the next shift know that the coolant didn't turn on. You do not see your trainer or supervisor around. You decide to leave a note for the next shift so they are aware of the possible coolant problem. You write a sticky note and leave it on the monitor of the CNC control system.

How effective do you think this solution was? Did it address the problem?

In this scenario, you discovered several problems with the G-code that need to be addressed. When issues and problems arise, it is important that they are addressed in an efficient and timely manner. Effective communication is an important tool because it can prevent problems from recurring and avoid injury to personnel. The challenge of communicating in the workplace is learning how and when to share your ideas and concerns. If you need to tell your co-workers or supervisor that there is a problem, it is important to remember that timing and the method of communication are extremely important.

You are able to fix the coolant problem in the G-code. While you are glad that the problem is fixed, you are worried about why it happened in the first place. It is important to remember that if a problem keeps reappearing, you may not be fixing the right problem. You may only be addressing the symptoms.

You decide to talk to your trainer. Bill is glad you mentioned the problem to him. You are the third worker to mention G-code issues over the last week. You noticed the coolant problems in your G-code, John noticed a Z-axis issue in his G-code, and Sam had issues with both the Z-axis and the coolant. Chances are, there is a bigger problem and Bill will need to investigate the root cause .

Over lunch, you ask your coworkers about the G-code problem and what may be causing the error. Several people mention having similar problems but do not know the cause.

You have now talked to three coworkers who have all experienced similar coolant G-code problems. You make a list of who had the problem, when they had the problem, and what each person told you.

When you see your supervisor later that afternoon, you are ready to talk with him. You describe the problem you had with your component and the damaged bit. You then go on to tell him about talking with Bill and discovering the G-code issue. You show him your notes on your coworkers' coolant issues, and explain that you think there might be a bigger problem.

You supervisor thanks you for your initiative in identifying this problem. It sounds like there is a bigger problem and he will need to investigate the root cause. He decides to call a team huddle to discuss the issue, gather more information, and talk with the team about the importance of communication.

Root Cause Analysis

Root cause analysis ( RCA ) is a method of problem solving that identifies the underlying causes of an issue. Root cause analysis helps people answer the question of why the problem occurred in the first place. RCA uses clear cut steps in its associated tools, like the "5 Whys Analysis" and the "Cause and Effect Diagram," to identify the origin of the problem, so that you can:

• Determine what happened.
• Determine why it happened.
• Fix the problem so it won’t happen again.

RCA works under the idea that systems and events are connected. An action in one area triggers an action in another, and another, and so on. By tracing back these actions, you can discover where the problem started and how it developed into the problem you're now facing. Root cause analysis can prevent problems from recurring, reduce injury to personnel, reduce rework and scrap, and ultimately, reduce cost and save money. There are many different RCA techniques available to determine the root cause of a problem. These are just a few:

• Root Cause Analysis Tools
• 5 Whys Analysis
• Fishbone or Cause and Effect Diagram
• Pareto Analysis

How Huddles Work

Communication is a vital part of any setting where people work together. Effective communication helps employees and managers form efficient teams. It builds trusts between employees and management, and reduces unnecessary competition because each employee knows how their part fits in the larger goal.

One tool that management can use to promote communication in the workplace is the huddle . Just like football players on the field, a huddle is a short meeting where everyone is standing in a circle. A daily team huddle ensures that team members are aware of changes to the schedule, reiterated problems and safety issues, and how their work impacts one another. When done right, huddles create collaboration, communication, and accountability to results. Impromptu huddles can be used to gather information on a specific issue and get each team member's input.

The most important thing to remember about huddles is that they are short, lasting no more than 10 minutes, and their purpose is to communicate and identify. In essence, a huddle’s purpose is to identify priorities, communicate essential information, and discover roadblocks to productivity.

Who uses huddles? Many industries and companies use daily huddles. At first thought, most people probably think of hospitals and their daily patient update meetings, but lots of managers use daily meetings to engage their employees. Here are a few examples:

• Brian Scudamore, CEO of 1-800-Got-Junk? , uses the daily huddle as an operational tool to take the pulse of his employees and as a motivational tool. Watch a morning huddle meeting .
• Fusion OEM, an outsourced manufacturing and production company. What do employees take away from the daily huddle meeting .
• Biz-Group, a performance consulting group. Tips for a successful huddle .

Brainstorming

One tool that can be useful in problem solving is brainstorming . Brainstorming is a creativity technique designed to generate a large number of ideas for the solution to a problem. The method was first popularized in 1953 by Alex Faickney Osborn in the book Applied Imagination . The goal is to come up with as many ideas as you can in a fixed amount of time. Although brainstorming is best done in a group, it can be done individually. Like most problem solving techniques, brainstorming is a process.

• Define a clear objective.
• Have an agreed a time limit.
• During the brainstorming session, write down everything that comes to mind, even if the idea sounds crazy.
• If one idea leads to another, write down that idea too.
• Combine and refine ideas into categories of solutions.
• Assess and analyze each idea as a potential solution.

When used during problem solving, brainstorming can offer companies new ways of encouraging staff to think creatively and improve production. Brainstorming relies on team members' diverse experiences, adding to the richness of ideas explored. This means that you often find better solutions to the problems. Team members often welcome the opportunity to contribute ideas and can provide buy-in for the solution chosen—after all, they are more likely to be committed to an approach if they were involved in its development. What's more, because brainstorming is fun, it helps team members bond.

• Watch Peggy Morgan Collins, a marketing executive at Power Curve Communications discuss How to Stimulate Effective Brainstorming .
• Watch Kim Obbink, CEO of Filter Digital, a digital content company, and her team share their top five rules for How to Effectively Generate Ideas .

Importance of Good Communication and Problem Description

Communication is one of the most frequent activities we engage in on a day-to-day basis. At some point, we have all felt that we did not effectively communicate an idea as we would have liked. The key to effective communication is preparation. Rather than attempting to haphazardly improvise something, take a few minutes and think about what you want say and how you will say it. If necessary, write yourself a note with the key points or ideas in the order you want to discuss them. The notes can act as a reminder or guide when you talk to your supervisor.

Tips for clear communication of an issue:

• Provide a clear summary of your problem. Start at the beginning, give relevant facts, timelines, and examples.
• Avoid including your opinion or personal attacks in your explanation.
• Avoid using words like "always" or "never," which can give the impression that you are exaggerating the problem.
• If this is an ongoing problem and you have collected documentation, give it to your supervisor once you have finished describing the problem.
• Remember to listen to what's said in return; communication is a two-way process.

Not all communication is spoken. Body language is nonverbal communication that includes your posture, your hands and whether you make eye contact. These gestures can be subtle or overt, but most importantly they communicate meaning beyond what is said. When having a conversation, pay attention to how you stand. A stiff position with arms crossed over your chest may imply that you are being defensive even if your words state otherwise. Shoving your hands in your pockets when speaking could imply that you have something to hide. Be wary of using too many hand gestures because this could distract listeners from your message.

The challenge of communicating in the workplace is learning how and when to share your ideas or concerns. If you need to tell your supervisor or co-worker about something that is not going well, keep in mind that good timing and good attitude will go a long way toward helping your case.

Like all skills, effective communication needs to be practiced. Toastmasters International is perhaps the best known public speaking organization in the world. Toastmasters is open to anyone who wish to improve their speaking skills and is willing to put in the time and effort to do so. To learn more, visit Toastmasters International .

Methods of Communication

Communication of problems and issues in any workplace is important, particularly when safety is involved. It is therefore crucial in manufacturing where people are constantly working with heavy, costly, and sometimes dangerous equipment. As issues and problems arise, they need to be addressed in an efficient and timely manner. Effective communication is an important skill because it can prevent problems from recurring, avoid injury to personnel, reduce rework and scrap, and ultimately, reduce cost and save money.

There are many different ways to communicate: in person, by phone, via email, or written. There is no single method that fits all communication needs, each one has its time and place.

In person: In the workplace, face-to-face meetings should be utilized whenever possible. Being able to see the person you need to speak to face-to-face gives you instant feedback and helps you gauge their response through their body language. Be careful of getting sidetracked in conversation when you need to communicate a problem.

Email: Email has become the communication standard for most businesses. It can be accessed from almost anywhere and is great for things that don’t require an immediate response. Email is a great way to communicate non-urgent items to large amounts of people or just your team members. One thing to remember is that most people's inboxes are flooded with emails every day and unless they are hyper vigilant about checking everything, important items could be missed. For issues that are urgent, especially those around safety, email is not always be the best solution.

Phone: Phone calls are more personal and direct than email. They allow us to communicate in real time with another person, no matter where they are. Not only can talking prevent miscommunication, it promotes a two-way dialogue. You don’t have to worry about your words being altered or the message arriving on time. However, mobile phone use and the workplace don't always mix. In particular, using mobile phones in a manufacturing setting can lead to a variety of problems, cause distractions, and lead to serious injury.

Written: Written communication is appropriate when detailed instructions are required, when something needs to be documented, or when the person is too far away to easily speak with over the phone or in person.

There is no "right" way to communicate, but you should be aware of how and when to use the appropriate form of communication for your situation. When deciding the best way to communicate with a co-worker or manager, put yourself in their shoes, and think about how you would want to learn about the issue. Also, consider what information you would need to know to better understand the issue. Use your good judgment of the situation and be considerate of your listener's viewpoint.

Did you notice any other potential problems in the previous exercise?

• [Page 6:] Did you notice any other potential problems in the previous exercise?

Summary of Strategies

In this exercise, you were given a scenario in which there was a problem with a component you were creating on a CNC machine. You were then asked how you wanted to proceed. Depending on your path through this exercise, you might have found an easy solution and fixed it yourself, asked for help and worked with your trainer, or discovered an ongoing G-code problem that was bigger than you initially thought.

When issues and problems arise, it is important that they are addressed in an efficient and timely manner. Communication is an important tool because it can prevent problems from recurring, avoid injury to personnel, reduce rework and scrap, and ultimately, reduce cost, and save money. Although, each path in this exercise ended with a description of a problem solving tool for your toolbox, the first step is always to identify the problem and define the context in which it happened.

There are several strategies that can be used to identify the root cause of a problem. Root cause analysis (RCA) is a method of problem solving that helps people answer the question of why the problem occurred. RCA uses a specific set of steps, with associated tools like the “5 Why Analysis" or the “Cause and Effect Diagram,” to identify the origin of the problem, so that you can:

Once the underlying cause is identified and the scope of the issue defined, the next step is to explore possible strategies to fix the problem.

If you are not sure how to fix the problem, it is okay to ask for help. Problem solving is a process and a skill that is learned with practice. It is important to remember that everyone makes mistakes and that no one knows everything. Life is about learning. It is okay to ask for help when you don’t have the answer. When you collaborate to solve problems you improve workplace communication and accelerates finding solutions as similar problems arise.

One tool that can be useful for generating possible solutions is brainstorming . Brainstorming is a technique designed to generate a large number of ideas for the solution to a problem. The method was first popularized in 1953 by Alex Faickney Osborn in the book Applied Imagination. The goal is to come up with as many ideas as you can, in a fixed amount of time. Although brainstorming is best done in a group, it can be done individually.

Depending on your path through the exercise, you may have discovered that a couple of your coworkers had experienced similar problems. This should have been an indicator that there was a larger problem that needed to be addressed.

In any workplace, communication of problems and issues (especially those that involve safety) is always important. This is especially crucial in manufacturing where people are constantly working with heavy, costly, and sometimes dangerous equipment. When issues and problems arise, it is important that they be addressed in an efficient and timely manner. Effective communication is an important tool because it can prevent problems from recurring, avoid injury to personnel, reduce rework and scrap, and ultimately, reduce cost and save money.

One strategy for improving communication is the huddle . Just like football players on the field, a huddle is a short meeting with everyone standing in a circle. A daily team huddle is a great way to ensure that team members are aware of changes to the schedule, any problems or safety issues are identified and that team members are aware of how their work impacts one another. When done right, huddles create collaboration, communication, and accountability to results. Impromptu huddles can be used to gather information on a specific issue and get each team member's input.

To learn more about different problem solving strategies, choose an option below. These strategies accompany the outcomes of different decision paths in the problem solving exercise.

• View Problem Solving Strategies Select a strategy below... Root Cause Analysis How Huddles Work Brainstorming Importance of Good Problem Description Methods of Communication

Communication is one of the most frequent activities we engage in on a day-to-day basis. At some point, we have all felt that we did not effectively communicate an idea as we would have liked. The key to effective communication is preparation. Rather than attempting to haphazardly improvise something, take a few minutes and think about what you want say and how you will say it. If necessary, write yourself a note with the key points or ideas in the order you want to discuss them. The notes can act as a reminder or guide during your meeting.

• Provide a clear summary of the problem. Start at the beginning, give relevant facts, timelines, and examples.

In person: In the workplace, face-to-face meetings should be utilized whenever possible. Being able to see the person you need to speak to face-to-face gives you instant feedback and helps you gauge their response in their body language. Be careful of getting sidetracked in conversation when you need to communicate a problem.

There is no "right" way to communicate, but you should be aware of how and when to use the appropriate form of communication for the situation. When deciding the best way to communicate with a co-worker or manager, put yourself in their shoes, and think about how you would want to learn about the issue. Also, consider what information you would need to know to better understand the issue. Use your good judgment of the situation and be considerate of your listener's viewpoint.

"Never try to solve all the problems at once — make them line up for you one-by-one.” — Richard Sloma

Problem Solving: An Important Job Skill

Problem solving improves efficiency and communication on the shop floor. It increases a company's efficiency and profitability, so it's one of the top skills employers look for when hiring new employees. Recent industry surveys show that employers consider soft skills, such as problem solving, as critical to their business’s success.

The 2011 survey, "Boiling Point? The skills gap in U.S. manufacturing ," polled over a thousand manufacturing executives who reported that the number one skill deficiency among their current employees is problem solving, which makes it difficult for their companies to adapt to the changing needs of the industry.

In this video, industry professionals discuss their expectations and present tips for new employees joining the manufacturing workforce.

Quick Summary

• [Quick Summary: Question1] What are two things you learned in this case study?
• What question(s) do you still have about the case study?
• [Quick Summary: Question2] What question(s) do you still have about the case study?
• Is there anything you would like to learn more about with respect to this case study?
• [Quick Summary: Question3] Is there anything you would like to learn more about with respect to this case study?

What Are Problem-Solving Skills? Definition and Examples

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Forage puts students first. Our blog articles are written independently by our editorial team. They have not been paid for or sponsored by our partners. See our full  editorial guidelines .

Why do employers hire employees? To help them solve problems. Whether you’re a financial analyst deciding where to invest your firm’s money, or a marketer trying to figure out which channel to direct your efforts, companies hire people to help them find solutions. Problem-solving is an essential and marketable soft skill in the workplace. 

So, how can you improve your problem-solving and show employers you have this valuable skill? In this guide, we’ll cover:

Problem-Solving Skills Definition

Why are problem-solving skills important, problem-solving skills examples, how to include problem-solving skills in a job application, how to improve problem-solving skills, problem-solving: the bottom line.

Problem-solving skills are the ability to identify problems, brainstorm and analyze answers, and implement the best solutions. An employee with good problem-solving skills is both a self-starter and a collaborative teammate; they are proactive in understanding the root of a problem and work with others to consider a wide range of solutions before deciding how to move forward. 

Examples of using problem-solving skills in the workplace include:

• Researching patterns to understand why revenue decreased last quarter
• Experimenting with a new marketing channel to increase website sign-ups
• Brainstorming content types to share with potential customers
• Testing calls to action to see which ones drive the most product sales
• Implementing a new workflow to automate a team process and increase productivity

Problem-solving skills are the most sought-after soft skill of 2022. In fact, 86% of employers look for problem-solving skills on student resumes, according to the National Association of Colleges and Employers Job Outlook 2022 survey . 

It’s unsurprising why employers are looking for this skill: companies will always need people to help them find solutions to their problems. Someone proactive and successful at problem-solving is valuable to any team.

“Employers are looking for employees who can make decisions independently, especially with the prevalence of remote/hybrid work and the need to communicate asynchronously,” Eric Mochnacz, senior HR consultant at Red Clover, says. “Employers want to see individuals who can make well-informed decisions that mitigate risk, and they can do so without suffering from analysis paralysis.”

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Problem-solving includes three main parts: identifying the problem, analyzing possible solutions, and deciding on the best course of action.

>>MORE: Discover the right career for you based on your skills with a career aptitude test .

Research is the first step of problem-solving because it helps you understand the context of a problem. Researching a problem enables you to learn why the problem is happening. For example, is revenue down because of a new sales tactic? Or because of seasonality? Is there a problem with who the sales team is reaching out to? 

Research broadens your scope to all possible reasons why the problem could be happening. Then once you figure it out, it helps you narrow your scope to start solving it. 

Analysis is the next step of problem-solving. Now that you’ve identified the problem, analytical skills help you look at what potential solutions there might be.

“The goal of analysis isn’t to solve a problem, actually — it’s to better understand it because that’s where the real solution will be found,” Gretchen Skalka, owner of Career Insights Consulting, says. “Looking at a problem through the lens of impartiality is the only way to get a true understanding of it from all angles.”

Decision-Making

Once you’ve figured out where the problem is coming from and what solutions are, it’s time to decide on the best way to go forth. Decision-making skills help you determine what resources are available, what a feasible action plan entails, and what solution is likely to lead to success.

On a Resume

Employers looking for problem-solving skills might include the word “problem-solving” or other synonyms like “ critical thinking ” or “analytical skills” in the job description.

“I would add ‘buzzwords’ you can find from the job descriptions or LinkedIn endorsements section to filter into your resume to comply with the ATS,” Matthew Warzel, CPRW resume writer, advises. Warzel recommends including these skills on your resume but warns to “leave the soft skills as adjectives in the summary section. That is the only place soft skills should be mentioned.”

On the other hand, you can list hard skills separately in a skills section on your resume .

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In a Cover Letter or an Interview

Explaining your problem-solving skills in an interview can seem daunting. You’re required to expand on your process — how you identified a problem, analyzed potential solutions, and made a choice. As long as you can explain your approach, it’s okay if that solution didn’t come from a professional work experience.

“Young professionals shortchange themselves by thinking only paid-for solutions matter to employers,” Skalka says. “People at the genesis of their careers don’t have a wealth of professional experience to pull from, but they do have relevant experience to share.”

Aaron Case, career counselor and CPRW at Resume Genius, agrees and encourages early professionals to share this skill. “If you don’t have any relevant work experience yet, you can still highlight your problem-solving skills in your cover letter,” he says. “Just showcase examples of problems you solved while completing your degree, working at internships, or volunteering. You can even pull examples from completely unrelated part-time jobs, as long as you make it clear how your problem-solving ability transfers to your new line of work.”

Learn How to Identify Problems

Problem-solving doesn’t just require finding solutions to problems that are already there. It’s also about being proactive when something isn’t working as you hoped it would. Practice questioning and getting curious about processes and activities in your everyday life. What could you improve? What would you do if you had more resources for this process? If you had fewer? Challenge yourself to challenge the world around you.

Think Digitally

“Employers in the modern workplace value digital problem-solving skills, like being able to find a technology solution to a traditional issue,” Case says. “For example, when I first started working as a marketing writer, my department didn’t have the budget to hire a professional voice actor for marketing video voiceovers. But I found a perfect solution to the problem with an AI voiceover service that cost a fraction of the price of an actor.”

Being comfortable with new technology — even ones you haven’t used before — is a valuable skill in an increasingly hybrid and remote world. Don’t be afraid to research new and innovative technologies to help automate processes or find a more efficient technological solution.

Collaborate

Problem-solving isn’t done in a silo, and it shouldn’t be. Use your collaboration skills to gather multiple perspectives, help eliminate bias, and listen to alternative solutions. Ask others where they think the problem is coming from and what solutions would help them with your workflow. From there, try to compromise on a solution that can benefit everyone.

If we’ve learned anything from the past few years, it’s that the world of work is constantly changing — which means it’s crucial to know how to adapt . Be comfortable narrowing down a solution, then changing your direction when a colleague provides a new piece of information. Challenge yourself to get out of your comfort zone, whether with your personal routine or trying a new system at work.

Put Yourself in the Middle of Tough Moments

Just like adapting requires you to challenge your routine and tradition, good problem-solving requires you to put yourself in challenging situations — especially ones where you don’t have relevant experience or expertise to find a solution. Because you won’t know how to tackle the problem, you’ll learn new problem-solving skills and how to navigate new challenges. Ask your manager or a peer if you can help them work on a complicated problem, and be proactive about asking them questions along the way.

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Companies always need people to help them find solutions — especially proactive employees who have practical analytical skills and can collaborate to decide the best way to move forward. Whether or not you have experience solving problems in a professional workplace, illustrate your problem-solving skills by describing your research, analysis, and decision-making process — and make it clear that you’re the solution to the employer’s current problems. 

Image Credit: Christina Morillo / Pexels 

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The role of problem-solving ability, beyond academic motivation, in college students’ psychological adjustment

• Open access
• Published: 18 March 2022
• Volume 42 , pages 17888–17897, ( 2023 )

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• Amaia de la Fuente   ORCID: orcid.org/0000-0003-2727-6536 1 ,
• Olga Cardeñoso 1 ,
• Edward C. Chang 2 ,
• Abigael G. Lucas 2 ,
• Mingqi Li 3 &
• Olivia D. Chang 2  

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In the changing and demanding university context, various situations are experienced wherein abilities to maintain motivation and activate problem solving could be relevant in students’ adjustment. Beyond the widely analyzed role of academic motivation, this study focused on the added value of social problem-solving ability in student adjustment in the academic context. Analyses based on the responses obtained from 253 students (197 women and 56 men) indicated the significant role of social problem-solving ability in student adjustment, with a small additional amount ( f 2  = .09) 9% of variance in life satisfaction and medium additional amount ( f 2  = .17) 15% of variance in depressive symptoms, beyond academic motivation. In particular, negative problem orientation was an important predictor of depressive symptoms (β = .41, p  < .001) and life satisfaction (β =  − .26, p  < .001); however, positive problem orientation was only an important predictor of life satisfaction (β = .21, p  < .01). This study also showed the predictive role of the value, expectancy, and affection components of motivation in student adjustment. Overall, the findings highlight the relevance of training in problem-solving orientation and motivational components to improve college students’ general well-being.

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Self-regulation in college: The influence of self-efficacy, need satisfaction, and stress on GPA, persistence, and satisfaction

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Beyond the widely analyzed role of academic motivation, this study focused on the added value of social problem-solving ability in student adjustment in the academic context. Analyses based on the responses obtained from 253 students (197 women and 56 men) indicated the significant role of social problem-solving ability in student adjustment, with a small additional amount ( f 2  = 0.09) 9% of variance in life satisfaction and medium additional amount ( f 2  = 0.17) 15% of variance in depressive symptoms, beyond academic motivation. In particular, negative problem orientation was an important predictor of depressive symptoms (β = 0.41, p  < 0.001) and life satisfaction (β =  − 0.26, p  < 0.001); however, positive problem orientation was only an important predictor of life satisfaction (β = 0.21, p  < 0.01). This study also showed the predictive role of the value, expectancy, and affection components of motivation in student adjustment. Overall, the findings highlight the relevance of training in problem-solving orientation and motivational components to improve college students’ general well-being.

In the current knowledge society where the flow of information is rapid and changing (Moravec, 2008 ), motivation continues to be highly valued among educational agents in driving constant learning of the student body (Robinson, et al., 2019 ). This value has been analyzed and corroborated by different researchers in recent decades (Duncan & McKeachie, 2005 ; Liu et al., 2020 ; Meece et al., 2006 ; Osborne & Jones, 2011 ), who have found that academic motivation (intrinsic and extrinsic) represents a critical variable set to understand learning and performance of students (e.g., grades achieved and learning effectiveness). Using the multidimensional approach of motivation supported in the Motivation for Learning Questionnaire Scale (MSLQ; Pintrich et al., 1991 ), Pintrich et al. ( 1993 ) found that scores assessing components of academic motivation (viz., intrinsic and extrinsic goal orientation, task value, control of learning beliefs, self-efficacy for learning and performance, and test anxiety) were significantly associated with final course grades in college students.

However, in a university context that values not only the knowledge acquisition of the student body but also the intrinsic engagement in the learning process (Koenka, 2020 ), a certain level of adjustment is required from students to maintain motivation when inherent difficulties appear (Broughman et al., 2009 ; Evans & Kelly, 2004 ).

In this context, the role of motivational components in the psychological adjustment of students has also been highlighted (e.g., anxiety, depression symptoms, and suicidal risk; Klibert et al., 2011 ; Tao et al., 2000 ; Wang, 2012 ). For example, a study of 537 undergraduate students in North China reported that intrinsic goal orientation was negatively related to depression symptoms and anxiety (Huang et al., 2016 ) and provided life satisfaction (Garriott et al., 2015 ).

Nonetheless, whether academic motivational components represent the most robust set of predictors for researchers to consider when attempting to account for adjustment in a university context remains unclear (Baker, 2003 ). As skills for maintaining an adequate level of engagement are necessary when problems occur in this context, activating adaptive strategies in uncertain situations (Asimopoulos et al., 2018 ). Findings from studies on social problem solving, defined as a self-initiated cognitive–emotional–behavioral process in which individuals engage to solve real-life everyday problems (D’Zurilla et al., 2004 ) have also demonstrated a consistent association with psychological adjustment (Chang, 2017 ; Hasegawa et al., 2015 ).

This ability to solve social problems comprises two major components, namely, problem orientation and problem-solving skills (Nezu et al., 2013 ). Problem orientation is the generalized response that an individual applies to new problematic situations, which includes appraisals and expectations of problems. These appraisals have a functional dimension when an individual tends to view a problem as a challenge (positive problem orientation [PPO]) and a dysfunctional dimension when an individual tends to perceive a problem as a threat (negative problem orientation [NPO]).

The second component, problem-solving skills, analyzes the problem-solving styles, such as, rational problem solving (RPS), impulsive/carelessness style (ICS), and avoidance style (AS). The constructive dimension (i.e., RPS) implies a systematic, skillful application of problem-solving techniques. The dysfunctional dimension implies ineffective patterns, such that problem-solving strategies are applied quickly and thoughtlessly in ICS and by procrastination, passivity, and dependency in AS.

Each aforementioned component is related to psychological adjustment. Specifically, the dysfunctional dimensions (NPO, ICS, and AS) are related to psychological distress, including anxiety (Bedel, 2015 ) and depression (Calvete & Cardeñoso, 2005 ; Chang, 2017 ; de la Fuente et al., 2019 ; Hasegawa et al., 2015 ; Siu & Shek, 2010 ). Conversely, the functional dimensions are positively related to life satisfaction (Dreer et al., 2005 ; Hamarta, 2009 ).

Because of the diverse problematic situations experienced in academic life, such as academic overload (Evans & Kelly, 2004 ), preparing for oral presentations, and managing problems that arise in group work (Larruzea-Urkixo et al., 2020 ), it would be beneficial to know if the problem-solving ability used in the university context affects students’ general adjustment, beyond what is accounted for academic motivation. Conceptually, social problem solving (D’Zurilla et al., 2002 ) and academic motivation (Pintrich et al., 1991 ) should facilitate individuals’ ability to achieve desired goals and adequate solutions. Thus, as an explanatory variable, social problem-solving ability might be tantamount to, or even surpass, academic motivation in the psychological adjustment of college students.

Based on those concerns and limitations, this study examines the (1) relationships between academic motivation, social problem-solving ability in the academic context, and psychological adjustment (viz., life satisfaction and depressive symptoms) in a sample of college students; (2) predicting role of each component of academic motivation in psychological adjustment , and (3) incremental utility of social problem-solving ability in predicting psychological adjustment in an academic context, beyond what is accounted for in academic motivation .

We proposed three hypotheses in this study. First, in accordance with previous studies (D’Zurilla et al., 2002 ; Pintrich et al., 1991 ), we hypothesized that academic motivation is associated with social problem-solving components. For example, academic motivation involving self-efficacy for learning and performance and intrinsic goal orientation would be positively associated with viewing problems as solvable (PPO), whereas test anxiety would be positively associated with viewing problems as unsolvable (NPO). Similarly, in line with studies on academic motivation and social problem-solving ability (Hasegawa et al., 2015 ; Tao et al., 2000 ), we expected that these variables would show significant associations with psychological adjustment in college students.

Second, beyond those foreseeable associations, and according to the findings in the literature (Pintrich & De Groot, 1990 ; Van Nguyen et al., 2015 ), we hypothesized that academic motivation could account for a significant amount of variance in psychological adjustment . Although all components of academic motivation were expected to be significant in predicting such associations, we expected self-efficacy for learning and performance and intrinsic goal orientation to have a crucial role (Pintrich & De Groot, 1990 ; Pintrich et al., 1991 ).

Finally, we hypothesized that the inclusion of social problem-solving ability might increase the prediction of psychological adjustment in college students, beyond what is accounted for by academic motivation. Specifically, we expected functional dimensions (PPO and RPS) to be important predictors of psychological adjustment (Dreer et al., 2005 ; Hamarta, 2009 ) and dysfunctional dimensions (NPO, ICS, and AS) as predictors of depressive symptoms (Calvete & Cardeñoso, 2005 ; Hasegawa et al., 2015 ; Siu & Shek, 2010 ).

Participants

The researchers met 421 students pursuing a social education degree from two faculties and four academic courses of the University of the Basque Country, in Northern Spain. Of a sample of 421 participants, 253 participant’s answers were valid; the other participants’ answers were excluded because of missing data. The final sample size corresponded to the standards for the representation of the total sample with a 5% error margin (Morales-Vallejo, 2008). The final sample included 253 students (197 women and 56 men), aged from 18 to 36 years, with a mean of 21.3 years ( SD  = 3.2).

• Academic motivation

To assess academic motivation from a multidimensional approach, we used the concerning section of a self-reported instrument, that is, MSLQ (Pintrich et al., 1991 ). MSLQ was designed to assess college student motivational orientation and learning strategies on the basis of a general cognitive view of motivation and learning, in which the student represents an active processor of information whose beliefs and cognitions are important mediators of instructional input (Pintrich et al., 1993 ). This motivational section comprises 31-items based on three general motivational constructs (Pintrich, 1989 ) that are expectancy, value, and affect. In expectancy components, two subscales were used: Self-efficacy for Learning and Performance (expectancy for success and self-efficacy; 8 items, α = 0.82) and Control of Learning Beliefs (students’ beliefs about the positive outcomes of their efforts to learn; 4 items, α = 0.54). In the value components, three subscales were used: Intrinsic Goal Orientation (motivation based on challenges, curiosity, or mastery; 4 items, α = 0.64), Extrinsic Goal Orientation (motivation based on grades, rewards, evaluation by others, and competition; 4 items, α = 0.72), and Task Value (the usefulness of the task for the student; 6 items; α = 0.84). Finally, the affect construct was based on Test Anxiety (worry and preoccupation with performance; 5 items, α = 0.82). The Cronbach’s alpha coefficients of each scale in this study were in line with the results obtained when MSLQ was validated (Pintrich et al., 1993 ), considering each dimension as an indispensable part of the instrument. Participants were asked to rate items on a 7-point Likert-type scale ranging from 1 ( not at all true for me ) to 7 ( extremely true for me ). We used the Spanish adapted version of MSLQ (Ramírez et al., 2013 ).

• Social problem solving

To assess social problem-solving ability in the academic context, we used the Social Problem-Solving Inventory-Revised: Short Form (SPSI-R-SF; D’Zurilla et al., 2002 ) in its Spanish version (Calvete & Cardeñoso, 2001 ). The students were asked to complete it by focusing only on academic problems, not on any other type of problem in daily life. The SPSI-R-SF is a 25-item measure of real-life problem-solving ability and is based on the original Social Problem-Solving Inventory (D’Zurilla & Nezu, 1990 ). It comprises two functional scales—(a) Positive Problem Orientation (e.g., “When I have a problem, I usually believe that there is a solution to it”; α = 0.62) and (b) Rational Problem Solving (e.g., “When I have a problem to solve, one of the first things I do is get as many facts about the problem as possible”; α = 0.69)—and three dysfunctional scales: (c) Negative Problem Orientation (e.g., “When my first efforts to solve problem fail, I get very frustrated”; α = 0.79), (d) Impulsivity/Carelessness Style (e.g., “When making decisions, I do not evaluate all my options carefully enough”; α = 0.75), and (e) Avoidance Style (e.g., “I wait to see if a problem will resolve itself first, before attempting to solve it myself”; α = 0.81). The Cronbach’s alpha coefficient of each subscale was consistent with the results in the validation of the instrument (Calvete & Cardeñoso, 2001 ; D’Zurilla et al., 2002 ). Participants were asked to indicate their agreement for each item across a 5-point Likert-type scale ranging from 0 ( not at all true of me) to 4 ( very true of me ). We used an adapted Spanish version of the SPSI-R-SF (Calvete & Cardeñoso, 2001 ).

• Psychological adjustment

To assess the psychological adjustment, we employed the Satisfaction Life Scale (SWLS; Diener et al., 1985 ) and the Beck Depression Inventory-II (BDI-II; Beck et al., 1996 ).

SWLS is a 5-item measure of global life satisfaction or personal satisfaction with life as a whole (e.g., “I am satisfied with my life”). We asked participants to rate their level of agreement with the items across a 7-point Likert-type scale ranging from 1 ( strongly disagree ) to 7 ( strongly agree ). We used the Spanish version of SWLS (Atienza et al., 2000 ). In this study, in line with the version used, the Cronbach’s alpha coefficient reported was 0.83. The higher the score on SWLS, the greater the life satisfaction.

BDI-II is a commonly used 21-item self-report measure of depressive symptomatology. We asked the participants to rate the extent to which they have experienced specific depressive symptoms in the past two weeks across a 4-point Likert-type scale (e.g., “ 0  =  I am not disappointed in myself” to 3  =  “I hate myself ”). We used an adapted Spanish version of BDI-II (Sanz & Vazquez, 2011 ); Cronbach’s alpha coefficient was 0.87. High scores in BDI-II are indicative of great depressive symptoms.

All procedures performed in the investigation involving human participants were accepted by the Human Research Ethics Committee of the Research and Teaching Ethics Committee of the University of the Basque Country.

As the first step of the recruitment, the researchers contacted the social education teacher to permit us to explain the study to the students during their break. All students interested in participating in the study completed a survey comprising an informed consent form, questionnaires with instructions based on the version of the instrument used (i.e., SPSI-R-SF, MSLQ, SWLS, and BDI-II), and a demographic questionnaire. The written informed consent indicated that all responses would remain confidential and that the participants would have access to the results. The subsequent analysis of the results was performed using SPSS Version 26.

To develop the analyses, we checked the data for the violation of normality, linearity, homoscedasticity, and collinearity (Merino & Díaz, 2005 ). No evidence was found for the violation of the assumptions.

To fulfill the first objective of this study, we analyzed the relationship between the variables using Pearson correlations (Vargas, 2007 ). The coefficients, means, and standard deviations for all study measures are presented in Table 1 . First, intrinsic goal orientation and self-efficacy for learning and performance positively correlated with the two functional components of problem solving: PPO ( r  = 0.29 and r  = 0.31, p  < 0.001) and RPS ( r  = 0.32 and r  = 0.25, p  < 0.001). By contrast, that relation was negative with NPO ( r  =  − 0.22 and r  =  − 0.32, p  < 0.001). Similarly, test anxiety correlated with NPO ( r  =  − 0.46, p  < 0.001).

Second, all measures were significantly related to psychological adjustment. NPO had the highest correlation with life satisfaction ( r  =  − 35, p  < 0.001) and depressive symptoms ( r  = 0.49, p  < 0.001). Life satisfaction also positively correlated with intrinsic goal orientation, self-efficacy for learning and performance, task value, PPO and RPS ( rs  = 0.17 to 0.31, p  < 0.001); this relation was negative with test anxiety and AS ( r  =  − 25, p  < 0.001 and r  =  − 0.20, p  < 0.01). Depressive symptoms were positively related to test anxiety and AS ( r  = 0.32 and r  = 0.26, p  < 0.001), and the relation was negative with intrinsic goal orientation, task value, self-efficacy for learning and performance PPO and RPS ( rs  =  − 0.14 to − 0.33, p  < 0.05 and p  < 0.001).

Beyond academic motivation, is social problem solving a predictor of psychological adjustment in the university area?

To fulfill the second and third objectives of this study, we conducted a series of hierarchical regression analyses to determine the amount of variance of academic motivation in predicting psychological adjustment (viz., life satisfaction and depressive symptoms) and the additional amount of variance of social problem-solving ability in predicting them (Table 2 ). For each regression model, we controlled for demographic factors, namely, age and sex, in the first step. Next, based on the multidimensional approach of academic motivation, all six dimensions were entered in the second step. Finally, to analyze the incremental utility of social problem-solving ability, beyond academic motivation, we entered the five dimensions of social problem solving in the third step. To determine whether any predictors accounted for a small, medium, or large amount of variance in functioning, we used Cohen’s ( 1977 ) convention for small ( f 2  =  0.0 2), medium ( f 2  = 0.15), and large effects ( f 2  = 0.35).

In predicting life satisfaction, independent of demographic factors, academic motivation was observed to have a medium amount ( f 2  =  0.1 9) 16% of variance in life satisfaction, F (6, 244) = 7.62, p  < 0.001. This result was driven by intrinsic goal orientation (β = 0.17, p  < 0.05), self-efficacy for learning and performance (β = 0.17, p  < 0.05), and test anxiety (β =  − 0.14, p  < 0.05). Finally, when social problem solving was entered in the third step, a small amount ( f 2  =  0.0 9) 9% of additional variance in life satisfaction, F (5, 239) = 5.87, p  < 0.001, was observed. This result was driven by PPO (β = 0.21, p  < 0.01) and NPO (β =  − 0.26, p  < 0.001). The full prediction model including demographic variables, academic motivation, and social problem solving accounted for a large amount ( f 2  =  0.3 3) 25%) of variance in life satisfaction, F (13, 239) = 2.07, p  < 0.001.

At the time of predicting depressive symptoms, independent of demographic factors, academic motivation accounted for a medium amount ( f 2  =  0.2 1) 18% of variance in depressive symptoms, F (6, 244) = 8.75, p  < 0.001. This result was determined by self-efficacy for learning and performance (β =  − 0.24, p  < 0.01) and test anxiety (β = 0.21, p  < 0.01). Finally, when social problem solving was included, a medium amount ( f 2  =  0.1 7) 15% of additional variance in depressive symptoms, F (5, 239) = 10.60, p  < 0.001, was observed. The full prediction model including demographic variables, academic motivation, and social problem solving accounted for a large amount ( f 2  =  0.4 3) 33% of variance in depressive symptoms, F (13, 239) = 8.97, p  < 0.001.

Considering the importance of academic motivation and social problem-solving ability in the diverse situations inherent in the learning process of college students, we conducted this study to deepen the role of each variable in the academic context, specifically in the social problem-solving ability beyond academic motivation.

First, correlations between all variables were analyzed and found to be consistent with what we hypothesized. The results indicated that intrinsic goal orientation and self-efficacy for learning and performance were positively related to PPO and RPS and negatively to NPO and AS. Additionally, test anxiety correlated with NPO similar to the general anxiety studies (Calvete & Cardeñoso, 2001 ; Kant et al., 1997 ).

Second, concerning psychological adjustment in the university context, the patterns of correlations were in line with those in the literature (Dreer et al., 2005 ; Hamarta, 2009 ) and with what we hypothesized. Life satisfaction was positively related to the functional dimensions of social problem-solving ability and academic motivation (e.g., intrinsic goal orientation, self-efficacy for learning and performance, task value, PPO, and RPS), while depressive symptoms to the dysfunctional dimensions (e.g., test anxiety, NPO, and AS).

These findings demonstrate the relationship between motivation and social problem solving and the psycological adjustment of university students. Moreover, our findings suggest that social problem-solving ability is important in the adjustment of the university student body.

Is social problem solving, beyond academic motivation, a predictor of psychological adjustment in the university area?

Evidenced has supported the relationships of D’Zurilla’s model (D’Zurilla et al., 2002 ) of social problem solving and Pintrich’s multidimensional approach of academic motivation (Pintrich et al., 1991 ) to psychological adjustment. Our study further analyzes the predicting role of each component in university life, specifically that in the social problem-solving ability role.

In line with the literature and our hypotheses, the outcomes demonstrate that the motivational components have a significant role in predicting the psychological adjustment of college students (Klibert et al., 2011 ; Wang, 2012 ). The results demonstrated, as we expected, a significant influence of intrinsic goal orientation and self-efficacy for learning and performance (Cabanach et al., 2010 ; Chemers et al., 2001 ; Garriott et al., 2015 ; Weinstein & Ryan, 2010 ). Even if it was not expected, the results of this study have enhanced the important role of test anxiety as an affect that significantly impairs student adjustment to academic tasks (Pintrich & De Groot, 1990 ). Additionally, these results highlight more than the role of intrinsic and extrinsic goal orientation (Liu et al., 2020 ; Osborne & Jones, 2011 ); they emphasize the need to understand motivation from a multidimensional perspective (Pintrich, 2004 ). From that, the complexity of the role of motivation in student adjustment in the academic context would be accepted, considering the predictive role of the constructs centered on value, expectancy, and affect (Pintrich, 1989 ).

Beyond what was predicted by the motivational components, in line with expectations, this investigation proved the added value of social problem-solving ability in predicting the psychological adjustment of college students. The results highlight the importance of student’s orientation of academic problems to adjust optimally in the university area, unexpectedly not emphasizing the role of the problem-solving style. Similarly, these results are consistent with studies that have proved that the means used to evaluate daily problems, visualizing them as challenges or as threats, altered the overall adjustment of the population (Calvete & Cardeñoso, 2005 ; Hasegawa et al., 2015 ; Siu & Shek, 2010 ). Although NPO is the most robust predictor of student psychological adjustment (de la Fuente et al., 2019 ; Robichaud & Dugas, 2005 ), the outcomes indicate the relevant role of the positive orientation of the problem (Dreer et al., 2005 ; Hamarta, 2009 ). Notably, in this study, PPO obtained the predictive role in life satisfaction, emphasizing that to see the process as a challenge while learning from it (Nezu et al., 2013 ) could push the student body toward an adjustment in the university context; however, it would insufficient to minimize the impact of depressive symptomatology.

Assessing these results from an educational perspective highlights the added influence that social problem-solving ability training can have on students’ well-being. In particular, train based on PPO can help students cope with problems that may arise during academic activities by approaching such situations from a functional prism wherein the solvable nature of the problems would be accepted (Chang, 2017 ; Nezu et al., 2013 ), avoiding the visualization of the systematic threat. The aforementioned prism promotes commitment and control of the resolution process, providing habits and tools for students to avoid dysfunctional tendencies and their psychological consequences (Calvete & Cardeñoso, 2005 ; Chang, 2017 ; De la Fuente et al., 2019 ). Social problem-solving ability training could be enhanced with training involving the motivational components to ensure persistent solving process to achieve an adequate adjustment.

By understanding the university not only as a context in which to acquire theoretical knowledge but also a context to grow personally and socially (Lee et al., 2019 ) while experiencing constant social change, the influence of the training of variables we studied could be understood in a more global manner. Beyond influencing student adjustment in academic contexts, it could also provide tools for various situations in students’ daily life. Skills obtained through academic experiences could provide tools that enhance student well-being, increasing their healthy outlook on future professional and personal challenges (Fortune, 1984 ).

Limitations

This study provides important findings on the role of social problem-solving ability in college student adjustment, beyond what is accounted for in academic motivation ; yet, it has limitations. First, the findings are limited to the convenience sample of college students. Thus, because the results of this investigation might vary across ages, analyzing students in different age ranges (e.g., adolescents in secondary school) could provide further insights. Second, this research focuses on Spanish college students; thus, because some studies have remarked on the variation of results in different cultural groups (Hirsch et al., 2012 ), it would be beneficial to know if similar findings could emerge from examining other ethnic and cultural groups (e.g., those in the United States, China, and France). Finally, this study focuses on life satisfaction and depressive symptoms in college students; therefore, it would be beneficial to determine whether the predicting results we demonstrated could be replicated with other specific psychological outcomes in the academic area (e.g., anxiety and stress).

The results of this study are the first to imply the role of social problem-solving ability in the academic context while focusing on predicting student adjustment, beyond academic motivation. Broadly, our findings reveal the added predicting role of social problem-solving appraisal in students’ adjustment (i.e., life satisfaction and depressive symptoms) to university life. Specifically, college students with a tendency to perceive everyday problems as a threat are at a great risk for depression and have less sense of life satisfaction. By contrast, PPO has been observed to be a relevant component that boosts college students’ adjustment. The results of this study demonstrate the importance of social problem-solving ability training and highlight the significance of employing it in conjunction with the value, expectancy, and affect components of motivation to improve students’ academic adjustment. From a general viewpoint, understanding the university as a basis for individual growth, working on the components highlighted in this study could also increase the possibilities of adjustment in different future environments, facilitating the well-being of future professionals.

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Code availability

Not applicable.

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de la Fuente, A., Cardeñoso, O., Chang, E.C. et al. The role of problem-solving ability, beyond academic motivation, in college students’ psychological adjustment. Curr Psychol 42 , 17888–17897 (2023). https://doi.org/10.1007/s12144-022-02945-y

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DOI : https://doi.org/10.1007/s12144-022-02945-y

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Why Problem-Solving Skills Are Essential for Leaders in Any Industry

• 17 Jan 2023

Any organization offering a product or service is in the business of solving problems.

Whether providing medical care to address health issues or quick convenience to those hungry for dinner, a business’s purpose is to satisfy customer needs .

In addition to solving customers’ problems, you’ll undoubtedly encounter challenges within your organization as it evolves to meet customer needs. You’re likely to experience growing pains in the form of missed targets, unattained goals, and team disagreements.

Yet, the ubiquity of problems doesn’t have to be discouraging; with the right frameworks and tools, you can build the skills to solve consumers' and your organization’s most challenging issues.

Here’s a primer on problem-solving in business, why it’s important, the skills you need, and how to build them.

Access your free e-book today.

What Is Problem-Solving in Business?

Problem-solving is the process of systematically removing barriers that prevent you or others from reaching goals.

Your business removes obstacles in customers’ lives through its products or services, just as you can remove obstacles that keep your team from achieving business goals.

Design Thinking

Design thinking , as described by Harvard Business School Dean Srikant Datar in the online course Design Thinking and Innovation , is a human-centered , solutions-based approach to problem-solving and innovation. Originally created for product design, design thinking’s use case has evolved . It’s now used to solve internal business problems, too.

The design thinking process has four stages :

• Clarify: Clarify a problem through research and feedback from those impacted.
• Ideate: Armed with new insights, generate as many solutions as possible.
• Develop: Combine and cull your ideas into a short list of viable, feasible, and desirable options before building prototypes (if making physical products) and creating a plan of action (if solving an intangible problem).
• Implement: Execute the strongest idea, ensuring clear communication with all stakeholders about its potential value and deliberate reasoning.

Using this framework, you can generate innovative ideas that wouldn’t have surfaced otherwise.

Creative Problem-Solving

Another, less structured approach to challenges is creative problem-solving , which employs a series of exercises to explore open-ended solutions and develop new perspectives. This is especially useful when a problem’s root cause has yet to be defined.

You can use creative problem-solving tools in design thinking’s “ideate” stage, which include:

• Brainstorming: Instruct everyone to develop as many ideas as possible in an allotted time frame without passing judgment.
• Divergent thinking exercises: Rather than arriving at the same conclusion (convergent thinking), instruct everyone to come up with a unique idea for a given prompt (divergent thinking). This type of exercise helps avoid the tendency to agree with others’ ideas without considering alternatives.
• Alternate worlds: Ask your team to consider how various personas would manage the problem. For instance, how would a pilot approach it? What about a young child? What about a seasoned engineer?

It can be tempting to fall back on how problems have been solved before, especially if they worked well. However, if you’re striving for innovation, relying on existing systems can stunt your company’s growth.

Related: How to Be a More Creative Problem-Solver at Work: 8 Tips

Why Is Problem-Solving Important for Leaders?

While obstacles’ specifics vary between industries, strong problem-solving skills are crucial for leaders in any field.

Whether building a new product or dealing with internal issues, you’re bound to come up against challenges. Having frameworks and tools at your disposal when they arise can turn issues into opportunities.

As a leader, it’s rarely your responsibility to solve a problem single-handedly, so it’s crucial to know how to empower employees to work together to find the best solution.

Your job is to guide them through each step of the framework and set the parameters and prompts within which they can be creative. Then, you can develop a list of ideas together, test the best ones, and implement the chosen solution.

Related: 5 Design Thinking Skills for Business Professionals

4 Problem-Solving Skills All Leaders Need

1. problem framing.

One key skill for any leader is framing problems in a way that makes sense for their organization. Problem framing is defined in Design Thinking and Innovation as determining the scope, context, and perspective of the problem you’re trying to solve.

“Before you begin to generate solutions for your problem, you must always think hard about how you’re going to frame that problem,” Datar says in the course.

For instance, imagine you work for a company that sells children’s sneakers, and sales have plummeted. When framing the problem, consider:

• What is the children’s sneaker market like right now?
• Should we improve the quality of our sneakers?
• Should we assess all children’s footwear?
• Is this a marketing issue for children’s sneakers specifically?
• Is this a bigger issue that impacts how we should market or produce all footwear?

While there’s no one right way to frame a problem, how you do can impact the solutions you generate. It’s imperative to accurately frame problems to align with organizational priorities and ensure your team generates useful ideas for your firm.

To solve a problem, you need to empathize with those impacted by it. Empathy is the ability to understand others’ emotions and experiences. While many believe empathy is a fixed trait, it’s a skill you can strengthen through practice.

When confronted with a problem, consider whom it impacts. Returning to the children’s sneaker example, think of who’s affected:

• Your organization’s employees, because sales are down
• The customers who typically buy your sneakers
• The children who typically wear your sneakers

Empathy is required to get to the problem’s root and consider each group’s perspective. Assuming someone’s perspective often isn’t accurate, so the best way to get that information is by collecting user feedback.

For instance, if you asked customers who typically buy your children’s sneakers why they’ve stopped, they could say, “A new brand of children’s sneakers came onto the market that have soles with more traction. I want my child to be as safe as possible, so I bought those instead.”

When someone shares their feelings and experiences, you have an opportunity to empathize with them. This can yield solutions to their problem that directly address its root and shows you care. In this case, you may design a new line of children’s sneakers with extremely grippy soles for added safety, knowing that’s what your customers care most about.

Related: 3 Effective Methods for Assessing Customer Needs

3. Breaking Cognitive Fixedness

Cognitive fixedness is a state of mind in which you examine situations through the lens of past experiences. This locks you into one mindset rather than allowing you to consider alternative possibilities.

For instance, your cognitive fixedness may make you think rubber is the only material for sneaker treads. What else could you use? Is there a grippier alternative you haven’t considered?

Problem-solving is all about overcoming cognitive fixedness. You not only need to foster this skill in yourself but among your team.

4. Creating a Psychologically Safe Environment

As a leader, it’s your job to create an environment conducive to problem-solving. In a psychologically safe environment, all team members feel comfortable bringing ideas to the table, which are likely influenced by their personal opinions and experiences.

If employees are penalized for “bad” ideas or chastised for questioning long-held procedures and systems, innovation has no place to take root.

By employing the design thinking framework and creative problem-solving exercises, you can foster a setting in which your team feels comfortable sharing ideas and new, innovative solutions can grow.

How to Build Problem-Solving Skills

The most obvious answer to how to build your problem-solving skills is perhaps the most intimidating: You must practice.

Again and again, you’ll encounter challenges, use creative problem-solving tools and design thinking frameworks, and assess results to learn what to do differently next time.

While most of your practice will occur within your organization, you can learn in a lower-stakes setting by taking an online course, such as Design Thinking and Innovation . Datar guides you through each tool and framework, presenting real-world business examples to help you envision how you would approach the same types of problems in your organization.

Are you interested in uncovering innovative solutions for your organization’s business problems? Explore Design Thinking and Innovation —one of our online entrepreneurship and innovation courses —to learn how to leverage proven frameworks and tools to solve challenges. Not sure which course is right for you? Download our free flowchart .

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How to Improve Problem Solving Skills

Last Updated: July 24, 2024 Fact Checked

This article was co-authored by Erin Conlon, PCC, JD . Erin Conlon is an Executive Life Coach, the Founder of Erin Conlon Coaching, and the host of the podcast "This is Not Advice." She specializes in aiding leaders and executives to thrive in their career and personal lives. In addition to her private coaching practice, she teaches and trains coaches and develops and revises training materials to be more diverse, equitable, and inclusive. She holds a BA in Communications and History and a JD from The University of Michigan. Erin is a Professional Certified Coach with The International Coaching Federation. There are 11 references cited in this article, which can be found at the bottom of the page. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 241,606 times.

The ability to solve problems applies to more than just mathematics homework. Analytical thinking and problem-solving skills are a part of many jobs, ranging from accounting and computer programming to detective work and even creative occupations like art, acting, and writing. While individual problems vary, there are certain general approaches to problem-solving like the one first proposed by mathematician George Polya in 1945. By following his principles of understanding the problem, devising a plan, carrying out the plan, and looking back, you can improve your problem-solving and tackle any issue systematically.

Define the problem clearly.

• Try to formulate questions. Say that as a student you have very little money and want to find an effective solution. What is at issue? Is it one of income – are you not making enough money? Is it one of over-spending? Or perhaps you have run into unexpected expenses or your financial situation has changed?

State your objective.

• Say that your problem is still money. What is your goal? Perhaps you never have enough to go out on the weekend and have fun at the movies or a club. You decide that your goal is to have more spending cash. Good! With a clear goal, you have better defined the problem.

Gather information systematically.

• To solve your money shortage, for example, you would want to get as detailed a picture of your financial situation as possible. Collect data through your latest bank statements and to talk to a bank teller. Track your earnings and spending habits in a notebook, and then create a spreadsheet or chart to show your income alongside your expenditures.

Analyze information.

• Say you have now collected all your bank statements. Look at them. When, how, and from where is your money coming? Where, when, and how are you spending it? What is the overall pattern of your finances? Do you have a net surplus or deficit? Are there any unexplained items?

Generate possible solutions.

• Your problem is a lack of money. Your goal is to have more spending cash. What are your options? Without evaluating them, come up with possible options. Perhaps you can acquire more money by getting a part-time job or by taking out a student loan. On the other hand, you might try to save by cutting your spending or by lowering other costs.
• Divide and conquer. Break the problem into smaller problems and brainstorm solutions for them separately, one by one.
• Use analogies and similarities. Try to find a resemblance with a previously solved or common problem. If you can find commonalities between your situation and one you've dealt with before, you may be able to adapt some of the solutions for use now.

Evaluate the solutions and choose.

• How can you raise money? Look at expenditures – you aren’t spending much outside of basic needs like tuition, food, and housing. Can you cut costs in other ways like finding a roommate to split rent? Can you afford to take a student loan just to have fun on the weekend? Can you spare time from your studies to work part-time?
• Each solution will produce its own set of circumstances that need evaluation. Run projections. Your money problem will require you to draw up budgets. But it will also take personal consideration. For example, can you cut back on basic things like food or housing? Are you willing to prioritize money over school or to take on debt?

Implement a solution.

• You decide to cut costs, because you were unwilling to take on debt, to divert time away from school, or to live with a roommate. You draw up a detailed budget, cutting a few dollars here and there, and commit to a month-long trial.

Review and evaluate the outcome.

• The results of your trial are mixed. On one hand, you have saved enough during the month for fun weekend activities. But there are new problems. You find that you must choose between spending cash and buying basics like food. You also need a new pair of shoes but can’t afford it, according to your budget. You may need to a different solution.

Adjust if necessary.

• After a month, you decide to abandon your first budget and to look for part-time work. You find a work-study job on campus. Making a new budget, you now have extra money without taking too much time away from your studies. You may have an effective solution.

Do regular mental exercises.

• Word games work great. In a game like “Split Words,” for example, you have to match word fragments to form words under a given theme like “philosophy.” In the game, “Tower of Babel,” you will need to memorize and then match words in a foreign language to the proper picture.
• Mathematical games will also put your problem solving to the test. Whether it be number or word problems, you will have to activate the parts of your brain that analyze information. For instance: “James is half as old now as he will be when he is 60 years older than he was six years before he was half as old as he is now. How old will James be when his age is twice what it was 10 years after he was half his current age?”

Play video games.

• Play something that will force you to think strategically or analytically. Try a puzzle game like Tetris. Or, perhaps you would rather prefer a role-playing or strategy game. In that case, something like “Civilization” or “Sim-City” might suit you better.

Take up a hobby.

• Web design, software programming, jigsaw puzzles, Sudoku, and chess are also hobbies that will force you to think strategically and systematically. Any of these will help you improve your overall problem solving.

Expert Q&A

You Might Also Like

• ↑ https://www.healthywa.wa.gov.au/Articles/N_R/Problem-solving
• ↑ https://asq.org/quality-resources/problem-solving
• ↑ https://ctb.ku.edu/en/table-of-contents/evaluate/evaluate-community-interventions/collect-analyze-data/main
• ↑ https://www.mindtools.com/pages/article/newCT_96.htm
• ↑ https://www.skillsyouneed.com/ips/problem-solving.html
• ↑ Erin Conlon, PCC, JD. Executive Life Coach. Expert Interview. 31 August 2021.
• ↑ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5930973/
• ↑ https://www.theguardian.com/lifeandstyle/2018/oct/13/mental-exercises-to-keep-your-brain-sharp
• ↑ https://www.apa.org/monitor/2014/02/video-game
• ↑ https://www.nature.com/articles/d41586-018-05449-7

About This Article

To improve your problem-solving skills, start by clearly defining the problem and your objective or goal. Next, gather as much information as you can about the problem and organize the data by rewording, condensing, or summarizing it. Then, analyze the information you've gathered, looking for important links, patterns, and relationships in the data. Finally, brainstorm possible solutions, evaluate the solutions, and choose one to implement. For tips on implementing solutions successfully, read on! Did this summary help you? Yes No

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By developing strong problem-solving skills, you'll be able to find solutions even when they aren't obvious.

During your studies, you'll encounter many different problems you need to solve. Sometimes you may be unsure how to solve a problem or you may not fully understand what the problem is — which makes it hard to find the right solution.

When solving problems, it can help to start by identifying any barriers that may stop you finding a solution. Once you've identified any barriers, you can apply strategies to help overcome these and strengthen your problem-solving skills.

Some common barriers include:

• a lack of experience or confidence in how to solve problems
• trouble identifying the knowledge required to solve the problem
• believing that if you don't know how to solve the problem you shouldn't bother trying
• waiting until you know what to do before starting to write down ideas
• going with the first solution you think of instead of coming up with different options
• trying to force a solution to work when it's clear that it won't.

Once you know what barriers you're facing, apply the following problem-solving strategies to identify and work through possible solutions:

Identify relevant knowledge

Review the concepts or theories discussed in your lectures and tutorials to see if any of the information is relevant to the problem. It can be helpful to build up a summary sheet of information you learn over the semester so you have a reference guide ready.

Try multiple solutions

There may be multiple solutions to a problem, and some may work better than others.

If you find the solution you're trying doesn't fit, you'll to need to re-evaluate the problem and try other options. Remember if you make a mistake it doesn't mean you've failed — mistakes can help guide you to the correct answer.

• identify the most important points in the question you're trying to solve and any factors that may influence the solution
• make a list of possible solutions
• use a process of elimination to select potential solutions.

Organise information

Try reviewing the knowledge you have prior to problem-solving and organising it into a table, flowchart or diagram. This can help you to:

• compare and analyse information
• identify any information gaps
• avoid being overloaded by irrelevant information.

Download a guide to organising information (PDF, 3.8 MB)

Reframe the problem

Sometimes when thinking about a problem, you can make assumptions that stop you from finding a solution.

If you become stuck trying to solve a problem, it can help to approach the problem from a different perspective.

Some ways to help you reframe a problem include:

• questioning what the 'actual' problem is
• thinking about the cause of the problem
• identifying your assumptions
• creating a list of all possible solutions.
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7 Problem Solving Skills That Aren’t Just Buzzwords (+ Resume Example)

• Júlia Mlčúchova , 
• Updated April 8, 2024 9 min read

Problem-solving skills are something everybody should include on their resume, yet only a few seem to understand what these skills actually are. If you've always felt that the term "problem-solving skills" is rather vague and wanted to know more, you've come to the right place.

In this article, we're going to explain what problem-solving skills really mean. We'll talk about what makes up good problem-solving skills and give you tips on how to get better at them. You'll also find out how to make your problem-solving abilities look more impressive to those who might want to hire you.

Sounds good, right? Curious to learn more? 

In this article we’ll show you:

• What are problem solving skills;
• Why are they important; 
• Specific problem solving skills examples;
• How to develop your problem solving skills;
• And, how to showcase them on your resume.

Table of Contents

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What are problem solving skills?

Why are problem solving skills important, the best 7 problem solving skills examples, how to develop problem solving skills, problem solving skills resume example, key takeaways: problem solving skills.

First of all, they're more than just a buzzword!

Problem-solving skills are a set of specific abilities that allow you to deal with unexpected situations in the workplace, whether it be job related or team related. 

It's a complex process that involves several “sub skills” or “sub steps,” namely:

• Recognizing and identifying the issue at hand.
• Breaking the problem down into smaller parts and analyzing how they relate to one another. 
• Creating potential solutions to the problem, evaluating them and picking the best one.  
• Applying the chosen solution and assessing its outcome. 
• Learning from the whole process to deal with future problems more effectively. 

As you can see, it's not just about solving problems that are right in front of us, but also about predicting potential issues and being prepared to deal with them before they arise.  

Despite what you may believe, problem-solving skills aren't just for managers . 

Think about it this way: Why do employers hire employees in the first place? To solve problems for them!

And, as we all know, problems don't discriminate. In other words, it doesn't matter whether you're just an intern, an entry-level professional, or a seasoned veteran, you'll constantly face some kind of challenges. And the only difference is in how complex they will get.

This is also reflected in the way employers assess suitability of potential job candidates. 

In fact, research shows that the ability to deal with unexpected complications is prioritized by an overwhelming 60% of employers across all industries, making it one of the most compelling skills on your resume.

So, regardless of your job description or your career level, you're always expected to find solutions for problems, either independently or as a part of a team. 

And that's precisely what makes problem-solving skills so invaluable and universal ! 

Wondering how good is your resume?

Find out with our AI Resume Checker! Just upload your resume and see what can be improved.

As we've said before, problem-solving isn't really just one single skill. 

Instead, your ability to handle workplace issues with composure depends on several different “sub-skills”. 

So, which specific skills make an employee desirable even for the most demanding of recruiters? 

In no particular order, you should focus on these 7 skills : 

• Analytical skills
• Research skills
• Critical thinking 
• Decision-making
• Collaboration
• Having a growth mindset

Let's have a look at each of them in greater detail!

#1 Analytical skills

Firstly, to truly understand complex problems, you need to break them down into more manageable parts . Then, you observe them closely and ask yourself: “ Which parts work and which don't,” How do these parts contribute to the problem as a whole,” and "What exactly needs to be fixed?” In other words, you gather data , you study it, and compare it - all to pinpoint the cause of the issue as closely as possible.

#2 Research skills

Another priceless tool is your research skills (sometimes relying on just one source of information isn't enough). Besides, to make a truly informed decision , you'll have to dig a little deeper. Being a good researcher means looking for potential solutions to a problem in a wider context. For example: going through team reports, customer feedback, quarterly sales or current market trends.  

#3 Critical thinking

Every employer wants to hire people who can think critically. Yet, the ability to evaluate situations objectively and from different perspectives , is actually pretty hard to come by. But as long as you stay open-minded, inquisitive, and with a healthy dose of skepticism, you'll be able to assess situations based on facts and evidence more successfully. Plus, critical thinking comes in especially handy when you need to examine your own actions and processes. 

 #4 Creativity

Instead of following the old established processes that don't work anymore, you should feel comfortable thinking outside the box. The thing is, problems have a nasty habit of popping up unexpectedly and rapidly. And sometimes, you have to get creative in order to solve them fast. Especially those that have no precedence. But this requires a blend of intuition, industry knowledge, and quick thinking - a truly rare combination. 

#5 Decision-making

The analysis, research, and brainstorming are done. Now, you need to look at the possible solutions, and make the final decision (informed, of course). And not only that, you also have to stand by it ! Because once the train gets moving, there's no room for second guessing. Also, keep in mind that you need to be prepared to take responsibility for all decisions you make. That's no small feat! 

#6 Collaboration

Not every problem you encounter can be solved by yourself alone. And this is especially true when it comes to complex projects. So, being able to actively listen to your colleagues, take their ideas into account, and being respectful of their opinions enables you to solve problems together. Because every individual can offer a unique perspective and skill set. Yes, democracy is hard, but at the end of the day, it's teamwork that makes the corporate world go round. 

#7 Having a growth mindset

Let's be honest, no one wants their work to be riddled with problems. But facing constant challenges and changes is inevitable. And that can be scary! However, when you're able to see these situations as opportunities to grow instead of issues that hold you back, your problem solving skills reach new heights. And the employers know that too!

Now that we've shown you the value problem-solving skills can add to your resume, let's ask the all-important question: “How can I learn them?”

Well…you can't. At least not in the traditional sense of the word. 

Let us explain: Since problem-solving skills fall under the umbrella of soft skills , they can't be taught through formal education, unlike computer skills for example. There's no university course that you can take and graduate as a professional problem solver. 

But, just like other interpersonal skills, they can be nurtured and refined over time through practice and experience. 

Unfortunately, there's no one-size-fits-all approach, but the following tips can offer you inspiration on how to improve your problem solving skills:

• Cultivate a growth mindset. Remember what we've said before? Your attitude towards obstacles is the first step to unlocking your problem-solving potential. 
• Gain further knowledge in your specialized field. Secondly, it's a good idea to delve a little deeper into your chosen profession. Because the more you read on a subject, the easier it becomes to spot certain patterns and relations.  
• Start with small steps. Don't attack the big questions straight away — you'll only set yourself up for failure. Instead, start with more straightforward tasks and work your way up to more complex problems. 
• Break problems down into more digestible pieces. Complex issues are made up of smaller problems. And those can be further divided into even smaller problems, and so on. Until you're left with only the basics. 
• Don't settle for a single solution. Instead, keep on exploring other possible answers.
• Accept failure as a part of the learning process. Finally, don't let your failures discourage you. After all, you're bound to misstep a couple of times before you find your footing. Just keep on practicing. 

How to improve problem solving skills with online courses

While it’s true that formal education won’t turn you into a master problem solver, you can still hone your skills with courses and certifications offered by online learning platforms :

• Analytical skills. You can sharpen your analytical skills with Data Analytics Basics for Everyone from IBM provided by edX (Free); or Decision Making and Analytical Thinking: Fortune 500 provided by Udemy (＄21,74).
• Creativity. And, to unlock your inner creative mind, you can try Creative Thinking: Techniques and Tools for Success from the Imperial College London provided by Coursera (Free).
• Critical thinking. Try Introduction to Logic and Critical Thinking Specialization from Duke University provided by Coursera (Free); or Logical and Critical Thinking offered by The University of Auckland via FutureLearn.  
• Decision-making. Or, you can learn how to become more confident when it's time to make a decision with Decision-Making Strategies and Executive Decision-Making both offered by LinkedIn Learning (1 month free trial).
• Communication skills . Lastly, to improve your collaborative skills, check out Communicating for Influence and Impact online at University of Cambridge. 

The fact that everybody and their grandmothers put “ problem-solving skills ” on their CVs has turned the phrase into a cliche. 

But there's a way to incorporate these skills into your resume without sounding pretentious and empty. Below, we've prepared a mock-up resume that manages to do just that.

FYI, if you like this design, you can use the template to create your very own resume. Just click the red button and fill in your information (or let the AI do it for you).

Problem solving skills on resume example

This resume was written by our experienced resume writers specifically for this profession.

Why this example works?

• Firstly, the job description itself is neatly organized into bullet points .  
• Instead of simply listing soft skills in a skills section , you can incorporate them into the description of your work experience entry.  
• Also, the language here isn't vague . This resume puts each problem-solving skill into a real-life context by detailing specific situations and obstacles. 
• And, to highlight the impact of each skill on your previous job position, we recommend quantifying your results whenever possible. 
• Finally, starting each bullet point with an action verb (in bold) makes you look more dynamic and proactive.

To sum it all up, problem-solving skills continue gaining popularity among employers and employees alike. And for a good reason!

Because of them, you can overcome any obstacles that stand in the way of your professional life more efficiently and systematically. 

In essence, problem-solving skills refer to the ability to recognize a challenge, identify its root cause, think of possible solutions , and then implement the most effective one. 

Believing that these skills are all the same would be a serious misconception. In reality, this term encompasses a variety of different abilities , including:

In short, understanding, developing, and showcasing these skills, can greatly boost your chances at getting noticed by the hiring managers. So, don't hesitate and start working on your problem-solving skills right now!

Julia is an experienced career writer at Kickresume, who brings you expert tips on how to score big in the job market. From helping people improve their English to gain admission to their dream university, to guiding them on how to advance professionally, it would seem that her own career is also on a steadfast trajectory. Julia holds a degree in Anglophone studies from Metropolitan University in Prague, where she also resides. Apart from creative writing and languages, she takes a keen interest in literature and theatre.

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Math Fluency Is All About Problem-Solving. Do We Teach It That Way?

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To learn math, students must build a mental toolbox of facts and procedures needed for different problems.

But students who can recall these foundational facts in isolation often struggle to use them flexibly to solve complex, real-world problems , known as procedural fluency.

“Mathematics is not just normalizing procedures and implementing them when somebody tells you to use that procedure. Mathematics is solving problems,” said Bethany Rittle-Johnson, a professor of psychology and human development at Peabody College in Vanderbilt University, who studies math instruction. “To solve problems, we have to figure out what strategy to use when—and that tends to get too little attention.”

In a series of ongoing experiments, Rittle-Johnson and her colleagues find students develop better procedural fluency when they get opportunities to compare and contrast problem-solving approaches and justify the approaches they use in different situations. While some students may develop this skill on their own, most need explicit instruction, she found.

Rittle-Johnson spoke with Education Week about how teachers can use such comparisons to help students develop a deeper understanding of math. This interview has been edited for space and clarity.

For more on the best research-based strategies on improving math instruction, see Education Week’s new math mini-course .

How often do teachers talk to students about multiple strategies, and how to select them, in math problem-solving?

Students in the [United States] are very rarely doing rich contextual problems. Even more rarely, they’re being asked to compare strategies to solve them. I don’t hear teachers talk about [using different strategies] a lot, and textbooks tend to do a pretty bad job of explaining it.

For example, in Algebra 1, solving systems of equations, there are many standard solutions strategies that are taught in separate chapters and textbooks, ... but I see shockingly little time spent having students think and compare and choose which strategy to use. In one study where teachers were trained [to compare math strategies], only about 20 percent did in the classroom—and only about 5 percent of teachers who [did not receive training.]

Sometimes I hear teachers say, “Well, multiple strategies, that’s great for my high-end learners, but I don’t want to show that to my struggling learners. … So maybe multiple strategies is the ideal, but I’m not going to get to it because I’m tight on time and my kids are behind.” But we hear from struggling learners that they really appreciate the multiple strategies and we see that it helps them, too, across the grade bands and across contexts.

How can teachers decide when to bring in and compare different strategies while introducing a new math concept?

We find comparisons can be useful in all different phases of instruction.

It can be helpful for kids to have had some time to think about one strategy before they think about multiple strategies, maybe at most a lesson. But the risk is in general, if you wait too long, kids just get attached to one strategy. You run the risk of kids becoming really attached to one strategy, and then they become more resistant to wanting to think about and use multiple strategies.

What does this sort of comparison look like in the classroom?

One best practice is to have the steps of the different strategies written out. It can be kids’ strategies that they wrote on the board. It can be projecting strategies from textbooks or your solutions, but one thing we know is: Make sure both strategies are visible so that kids don’t have to remember. Then we ask kids to think about similarities and differences and think about, when is each a good strategy?

Sometimes we have students compare correct and incorrect strategies and explain the concepts that make the correct strategy correct. Just because you teach kids correct ways of doing things, that doesn’t mean the incorrect strategies disappear. Students really need help thinking and reasoning through why those are wrong.

What are the more common struggles for teachers to teach multiple strategies?

The No. 1 barrier we face is time. Teachers just feel they’re under so much pressure to cover so much content that they feel like they can’t take the time to do this, and that they see the value and the payoff in it. It does pay off for what is assessed [in standardized math tests], but it’s not directly assessed, and so that makes teachers nervous.

Also, sometimes teachers really don’t like to say this way is better than this other way. Even though mathematicians would say, “yeah, this way is clearly better in this context, and this other way is clearly better in that context,” ... sometimes teachers feel uncomfortable that they’re making a value judgment.

But the evidence is really clear that it’s helpful to show correct and incorrect examples and talk through them.

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Pengaruh Model Pembelajaran Creative Problem Solving (CPS) Berbasis E-LKPD Pendekatan TPACK Terhadap Keterampilan Pemecahan Masalah dan Kreativitas Siswa IPA SMP

Model Creative Problem Solving (CPS) dalam pembelajaran berfokus pada mengajarkan keterampilan pemecahan masalah dan berpikir kreatif. Penelitian ini bertujuan untuk mengeksplorasi efek penerapan Model Pembelajaran Creative Problem Solving (CPS) berbasis E-LKPD dengan pendekatan TPACK terhadap kemampuan siswa dalam memecahkan masalah dan meningkatkan kreativitas mereka dalam mata pelajaran IPA di SMP. Metode penelitian melibatkan review literatur dari jurnal internasional menggunakan perangkat lunak Publish or Perish, diikuti dengan analisis mendalam terhadap artikel yang ditemukan. Hasil studi menunjukkan bahwa menerapkan Model Pembelajaran CPS berbasis E-LKPD dengan pendekatan TPACK secara signifikan meningkatkan kemampuan siswa dalam memecahkan masalah dan juga kreativitas mereka dalam mata pelajaran IPA di SMP. Implikasi dari temuan ini memberikan saran kepada guru dan pihak terkait dalam pendidikan untuk mempertimbangkan penggunaan model pembelajaran inovatif guna meningkatkan keterampilan dan kreativitas siswa dalam memecahkan masalah dalam konteks mata pelajaran IPA.

The Creative Problem Solving (CPS) model in learning focuses on teaching problem solving and creative thinking skills. This research aims to explore the effect of implementing the E-LKPD-based Creative Problem Solving (CPS) Learning Model with the TPACK approach on students' ability to solve problems and increase their creativity in science subjects in junior high school. The research method involves a literature review from international journals using Publish or Perish software, followed by an in-depth analysis of the articles found. The study results show that implementing the E-LKPD-based CPS Learning Model with the TPACK approach significantly increases students' ability to solve problems and also their creativity in science subjects in junior high school. The implications of these findings provide suggestions for teachers and related parties in education to consider using innovative learning models to improve students' skills and creativity in solving problems in the context of science subjects.

Asrori, A., & Suparman. (2019). Analisis Kebutuhan E-LKPD Sesuai Model Problem Based Learning untuk Meningkatkan Kemampuan Berpikir Kreatif. Prosiding Sendika, 5(1)

Endah, D. R. J., Kesumawati, N., & Andinasari, A. (2019). Kemampuan pemecahan masalah matematis berdasarkan self efficacy siswa melalui Logan avenue problem solvingheuristic. JNPM (Jurnal Nasional Pendidikan Matematika), 3(2), 207-222 https://jurnal.ugj.ac.id/index.php/JNPM/article/view/2331

Fitriyah, N., Hariani, S. A., & Fikri, K. 2015. Pengaruh Model Pembelajaran Creative Problem Solving dengan Mind Mapping terhadap Kemampuan Berpikir Kreatif dan Hasil Belajar IPA Biologi. Jurnal Edukasi, 2(2), 44-50. https://jurnal.unej.ac.id/index.php/JEUJ/article/view/4305

Kurnianto, B., & Sarwono, R. (2023). Pengembangan Perangkat Pembelajaran Berbasis TPACK dalam Meningkatkan Aktivitas Belajar dan Kemampuan Pemecahan Masalah Siswa. Scholaria: Jurnal Pendidikan Dan Kebudayaan, 13(3), 210-221. https://ejournal.uksw.edu/scholaria/article/view/7229

Muhali, M. (2021). Pengaruh Implementasi model creative problem solving terhadap peningkatan kemampuan pemecahan masalah, keterampilan proses sains, dan kesadaran metakognisi peserta didik. Lensa: Jurnal Kependidikan Fisika, 9(1), 45-57. http://e-journal.undikma.ac.id/index.php/Lensa/article/view/4261

Nurdin, E., Nayan, D. D., & Risnawati, R. (2020). Pengaruh Pembelajaran Model Creative Problem Solving (CPS) terhadap Kemampuan Berpikir Kritis ditinjau dari Kemampuan Awal Matematis Siswa Sekolah Menengah Atas. Jurnal Gantang, 5(1), 39–49 https://repository.uin-suska.ac.id/24381/

Purnawati, W., Maison, M., & Haryanto, H. (2020). E-LKPD Berbasis Technological Pedagogical Content Knowledge (TPACK): Sebuah Pengembangan Sumber Belajar Pembelajaran Fisika. Tarbawi: Jurnal Ilmu Pendidikan, 16(2), 126-133. https://ejournal.iainkerinci.ac.id/index.php/tarbawi/article/view/665

Putri, R.R., Muhaimin dan Sutrisno. 2021. The Framework Of Technological Pedagogical Content Knowledge On Chemistry Learning Tools Development. Jurnal Pendidikan Sains. Vol 9. 126-136. https://jurnal.unimus.ac.id/index.php/JPKIMIA/article/view/6930

Perrina, R. O., Yurnetti, Y., Hidayati, H., & Sari, S. Y. (2020). Pembuatan perangkat pembelajaran ipa terpadu berbasis model creative problem solving pada materi getaran, gelombang, dan bunyi ipa smp/mts kelas viii. PILLAR OF PHYSICS EDUCATION, 13(2). https://ejournal.unp.ac.id/students/index.php/pfis/article/view/8555

Rahayu, R., Iskandar, S., & Abidin, Y. (2022). Inovasi Pembelajaran Abad 21 dan Penerapannya di Indonesia. Jurnal Basicedu, 6(2), 2099-2104 https://jbasic.org/index.php/basicedu/article/view/2082

Rahma, A. A., & Wicaksono, I. (2023). Efektivitas Model Creative Problem Solving (CPS) terhadap Peningkatan Kemampuan Berpikir Kreatif Siswa pada Materi Kalor. Journal on Education, 5(3), 5668-5679. https://www.jonedu.org/index.php/joe/article/view/1326

Rosmala, A. 2018. Model-model Pembelajaran Matematika. Jakarta: PT Bumi Aksara.

Sari, A. D., Hastuti, S., & Asmiati, A. (2020). Pengembangan Model Creative Problem Solving (CPS) Untuk Meningkatkan Kemampuan Berpikir Reflektif Siswa. Jurnal Cendekia: Jurnal Pendidikan Matematika, 4(2), 1115-1128. https://j-cup.org/index.php/cendekia/article/view/318

Syafitri, R. A., & Tressyalina. (2020). The Importance of the Student Worksheets of Electronic (E-LKPD) Contextual Teaching and Learning (CTL) in Learning to Write Description Text during Pandemic COVID-19. Proceedings of the 3rd International Conference on Language, Literature, and Education (ICLLE 2020). https://www.atlantis-press.com/proceedings/iclle-20/125945953

Triwahyudi, S., Sutrisno dan Yusnaidar., 2021. Pengembangan Perangkat Pembelajaran Berbasis TPACK pada materi kimia SMA. Chempublish Journal. Vol6 No. 1. 46-53 https://mail.online-journal.unja.ac.id/chp/article/view/11679

Triyono, T., Senam, S., Jumadi, J., & Wilujeng, I. (2017). The Effects of Creative Problem Solving-based Learning Towards Students' Creativities. Jurnal Kependidikan: Penelitian Inovasi Pembelajaran, 1(2), 229040. https://www.neliti.com/publications/229040/the-effects-of-creative-problem-solving-based-learning-towards-students-creativi

Waluyo, E., Supiyati, S., & Halqi, M. (2020). Mengembangkan perangkat pembelajaran kalkulus integral berbasis model pengajuan dan pemecahan masalah untuk meningkatkan kemampuan berpikir kreatif mahasiswa. Jurnal Elemen, 6(2), 357- 366 https://www.researchgate.net/profile/Rully-Prahmana/publication/348908327_The_Innovative_Learning_of_Social_Arithmetic_using_Realistic_Mathematics_Education_Approach/links/605ef093458515e834736762/The-Innovative-Learning-of-Social-Arithmetic-using-Realistic-Mathematics-Education-Approach.pdf?_sg%5B0%5D=started_experiment_milestone&origin=journalDetail&_rtd=e30%3D

Wisela, A. Y., Sahidu, H., & Ayub, S. (2020). Pengaruh model pembelajaran creative problem solving (CPS) terhadap kemampuan pemecahan masalah dan hasil belajar fisika. Jurnal Pijar MIPA, 15(1), 27-31. https://pdfs.semanticscholar.org/6c78/6a0fc85666a47955adac332d011d87139f67.pdf

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