Executive functioning and divergent thinking predict creative problem-solving in young adults and elderlies

BackgroundCreativity requires both divergent and convergent thinking. Previous research established that divergent thinking relates to mathematics performance, but generally ignored the role of convergent thinking and, hence, leaves it unclear how both might interact when children work on mathematical tasks. This study addressed this paucity in the research literature, with the goal of improving our understanding of the role of creative thinking in primary school mathematics.AimsThis study examined how divergent and convergent thinking contribute to mathematics performance, both directly and jointly, on single‐ and multiple‐solution tasks.SampleThe study was conducted with 229 Dutch fifth graders of 12 primary schools.MethodDivergent and convergent thinking were measured with a visual and verbal task. Path analysis was used including verbal and visual divergent and convergent thinking tasks in relation to single‐ and multiple‐solution mathematics task performance. Working memory was included as a covariate.ResultsVerbal convergent thinking positively predicted single‐ and multiple‐solution task performance. Verbal divergent and convergent thinking interacted in relation to single‐solution task performance, while visual divergent and convergent thinking interacted in relation to multiple‐solution task performance.ConclusionsChildren’s mathematics performance mainly relies on convergent thinking. The role of divergent thinking is twofold: it complements convergent thinking on multiple‐solution tasks and compensates convergent thinking on single‐solution tasks.

Metacontrol of human creativity: The neurocognitive mechanisms of convergent and divergent thinking

The purpose of this study is to apply a new evaluation tool to gifted students and to analyze the results using science book reports to evaluate creative problem-solving skills. To this end, 20 students who had read all three books and submitted book reports among students attending the Science Gifted Education Center attached to the university were evaluated by applying the creative problem solving ability evaluation tool. As a result of evaluating the book reports of gifted students, the points that gifted students acquired did not change significantly depending on the content or type of books, so it was possible to confirm the stability of the creativity evaluation tool and to analyze the creative problem-solving ability of gifted students according to the components. Generally speaking, gifted students scored high in the Based on knowledge and skills in a specific area , which represents creative problem-solving skills related to knowledge and concepts of science, but The score of the general knowledge and skill-based which represents factor the ability to solve problems using knowledge in various areas other than the science field was relatively low. We found out in the study that it is necessary to educate gifted students on strategies and insights that can solve real problems based on convergent knowledge as well as cognitive science. In addition, we compared the results by classifying them into upper and lower groups based on the total score of the evaluation results to find out that the difference in the scores between the upper and lower groups in the divergent thinking is large, so that the divergent thinking activity element can be used as an important factor in understanding creative problem solving ability. It is expected that the evaluation of the creative problem-solving ability and the analysis of the evaluation results can measure the current student s level of creative problem-solving ability, and will be an indicator in the further instruction.

This study investigates neural mechanisms of divergent and convergent thinking in the verbal knowledge domain while taking into account activation related to working memory (WM). Divergent thinking was assessed using the Alternate Uses Task (AUT) and convergent thinking using the Compound Remote Associates task (RAT). We analyzed upper alpha band (10–12 Hz) oscillatory activity, in which we accounted for the temporal dynamics of both thinking processes by investigating three different time points during each trial for both tasks. We subtracted WM-related oscillatory activity measured by a serial recall task within the same knowledge domain and by using highly similar stimulus material as in both divergent and convergent thinking tasks. Our results show a strong upper alpha synchronization during divergent relative to convergent thinking, most pronounced at fronto-parietal electrodes. Moreover, we observed highest synchronization towards the middle (in contrast to the beginning and end) of each trial during both thinking processes. The results of the present study extend previous findings in the visuo-spatial knowledge domain, using a highly similar analytical approach to investigate divergent and convergent thinking. Together, these findings provide theoretical implications on how divergent and convergent thinking interact beyond WM across different knowledge domains by emphasizing their complex interplay.

: The present experiment was designed to determine differential effects if any, on high- and low-creative Ss' need for novelty after being satiated with experiences requiring convergent and divergent thinking. High- or low-creative Ss were identified by the remote associates test. The S was assigned to either a divergent satiation thinking condition or to a convergent satiation thinking condition and performed the requisite tasks in each. Following satiation, the S performed a task which enabled E to identify differences in Ss responsiveness to novelty. The general hypothesis of the study was that high-creatives who were satiated with convergent thinking tasks would choose significantly more words of the class (nouns or nonnouns) of words which lead to novel associations than would high-creatives who were satiated with divergent thinking tasks. Among the low-creatives, those Ss who were satiated with convergent thinking experiences were hypothesized to choose more words of the class of words which led to novel associations than the low-creatives who were satiated with divergent thinking experiences.

The purpose of this paper was to investigate the effects of risk-taking, exploitation, and exploration on creativity by taking a model-based computational approach to both divergent and convergent thinking as primary ingredients of creativity. We adopted a reinforcement learning framework of Q learning to provide a simple, rigorous account of behavior in the decision-making process and examined the determinants of divergent and convergent thinking. Our findings revealed that risk-taking has positive effects on divergent thinking, but not related to convergent thinking. In particular, divergent thinkers with a high learning capacity were more likely to engage in risk-taking when facing losses than when facing gains. This risk-taking behavior not only contributes to the rapid achievement of learning convergence, but is also associated with high performance in divergent thinking tasks. Conversely, both exploitation and exploration had no significant effects on creativity once these risk attitudes were considered. Moreover, while convergent thinking relied on personality characteristics, it was not associated with risk-taking, exploitation, or exploration.

Effects of the interaction between exercising self-control and PhoPhiKat on divergent and convergent thinking

Computer-aided design (CAD) is a standard design tool used in engineering practice and by students. CAD has become increasingly analytic and inventive in incorporating artificial intelligence (AI) approaches to design, e.g., generative design (GD), to help expand designers' divergent thinking. However, generative design technologies are relatively new, we know little about generative design thinking in students. This research aims to advance our understanding of the relationship between aspects of generative design thinking and traditional design thinking. This study was set in an introductory graphics and design course where student designers used Fusion 360 to optimize a bicycle wheel frame. We collected the following data from the sample: divergent and convergent psychological tests and an open-ended response to a generative design prompt (called the generative design reasoning elicitation problem). A Spearman's rank correlation showed no statistically significant relationship between generative design reasoning and divergent thinking. However, an analysis of variance found a significant difference in generative design reasoning and convergent thinking between groups with moderate GD reasoning and low GD reasoning. This study shows that new computational tools might present the same challenges to beginning designers as conventional tools. Instructors should be aware of informed design practices and encourage students to grow into informed designers by introducing them to new technology, such as generative design.

Creativity-related cognitive processes and personality traits are not often examined together in educational contexts, particularly when discussing high-achieving subgroups of medical students. This study investigated these predictors of academic performance among high-achieving and typical-achieving medical students within a problem-based learning (PBL) environment of a medical school. Data were collected from 274 Doctor of Medicine students at Arabian Gulf University during the 2024–2025 academic year. Participants completed assessments of convergent thinking (Raven’s Advanced Progressive Matrices and Watson–Glaser Critical Thinking Appraisal), divergent thinking (Alternative Uses Test and Figural Divergent Thinking Test), and openness to experience (NEO-FFI). Students’ grade point averages (GPAs) were obtained from institutional records. Hierarchical regression analyses and moderation tests were performed, controlling for age and sex. Convergent thinking (β = 0.20, p < .001) and divergent thinking (β = 0.25, p < .001) emerged as modest-to-moderate positive predictors of GPA, whereas openness to experience showed a small negative association (β = −0.13, p = .026). Achievement status, defined as high-achieving versus typical-achieving GPA, significantly moderated the effects of both convergent and divergent thinking, such that the academic benefits of higher thinking skills were meaningfully stronger among high-achieving students, while these associations were weaker among their typical-achieving peers. No moderating effect was observed for openness to experience. Convergent and divergent thinking independently enhance academic performance in medical students, with amplified effects for high-achieving students. In contrast, openness to experience was negatively linked with GPA, reflecting the complex interplay between personality traits and structured medical training. These findings underscore the need for medical curricula that balance convergent reasoning with creative problem-solving while considering diverse student cognitive and personality profiles.

Contemporary creativity support tools (CSTs) primarily support divergent thinking, while often neglecting convergent thinking. Currently, research is limited concerning how these complementary aspects of creative thought could be integrated into a unified approach. This article theoretically conceptualizes the integration of artificial intelligence (AI) as a facilitator within CSTs to enhance design students' divergent and convergent thinking during ideation processes in higher education. The research employed the concept-driven design research methodology and conducted qualitative interviews with ten design students to evaluate and refine a theoretically underpinned design concept. The study identified four key themes that informed the crafting of a revised design concept: clarity and comprehension requirements, visualization of user journeys, the role of AI, and the balance between predictable and unpredictable interactions. Through iterative refinement, the research established a theoretically and empirically underpinned design concept that demonstrates how AI facilitation can support both divergent and convergent thinking while preserving student agency in creative processes. This research contributes to the theoretical grounding of AI-enhanced creativity support and provides practical insights for integrating AI facilitation in CTSs for design education.

Beyond alpha-band: The neural correlate of creative thinking

Divergent and Convergent Thinking Abilities in Multiple Sclerosis Patients

ABSTRACTThis study investigated the roles of different executive function (EF) components (inhibition, shifting, and working memory) in 2-step arithmetic word problem solving. A sample of 139 children aged 8 years old and regularly attending the 3rd grade of primary school were tested on 6 EF tasks measuring different EF components, a reading task and a reading comprehension task, an arithmetic facts task evaluating basic knowledge of calculation, and three 2-step arithmetic word problems. Multiple hierarchical regression analyses were conducted to investigate the roles of the different EF components in the various phases of the problem-solving process. The results showed that EF affects the various phases of problem solving differently over and above calculation knowledge and reading abilities. The implications of these findings are discussed in relation to further understanding the role of cognitive skills in mathematical problem solving and in relation to instructional approaches that may increase children’s performance on 2-step arithmetic word problems.

BackgroundPatients with Parkinson’s disease (PD) have been reported to exhibit unusual bouts of creativity (e.g., painting, writing), in particular in the context of treatment with dopaminergic agents. Here we investigated divergent and convergent thinking thought to underlie creativity. In addition we assessed cognitive estimation.MethodTwenty PD patients and 20 matched healthy control participants were subjected to the Guilford Alternate Uses task (divergent thinking), the remote associates task (convergent thinking) and two tests of cognitive estimation.ResultsNo group differences were found for the convergent thinking task, while the Guilford Alternate Uses task revealed a decreased number of correct responses and a reduced originality for PD patients. Originality in PD was correlated to total daily dose of dopaminergic medication. Moreover, both tasks of cognitive estimation showed an impairment in PD.ConclusionOnly minor effects were found for psychometric indices of subprocesses of creative thinking, while estimation, relying on executive functioning, is impaired in PD. We suggest to take a product oriented view of creativity in further research on altered creative processes in PD.

In recent years, tablets have been shown to serve as incredible teaching tools in classrooms around the world. In mathematics education, divergent thinking, creativity, and play may play a key role in formation of adaptive thinking and math achievement. This qualitative, participatory action research investigated the use of an instructional model that provided minimal instruction in the use of tablets to create stop motion animation movies. This study focused on the themes and patterns that emerged as pre-service teachers integrate a design thinking philosophy as they explore creativity and divergent thinking through the creation of stop motion animation movies. This study employed a participatory action research design that examined the use of an instructional approach informed by design thinking that utilized tablets to enable pre-service teachers to create stop motion animation movies and examine pedagogical implications of creativity, divergent and convergent thinking.