Volume 59, Issue 2 e70035
COMMENTARY
Open Access

More Creative Activities, Lower Creative Ability: Exploring an Unexpected PISA Finding

Sofiia Kagan

Corresponding Author

Sofiia Kagan

University of Georgia

Correspondence:

Sofiia Kagan ([email protected])

Search for more papers by this author
Denis Dumas
First published: 30 May 2025

ABSTRACT

Creative activities are typically thought to be positively associated with creative ability, whether because more creative individuals select into creative activities, or because those activities support the development of creativity, or both. However, the PISA 2022 creative thinking report revealed an unexpected finding: Creative ability was negatively associated with creative activities. Here, we theoretically address why this surprising finding may have occurred from both a measurement and a psychological perspective. On the measurement side of the issue, both the creative thinking assessment and the activities questionnaire appeared to have potential issues with content and construct validity. For instance, the response coding on the creative thinking assessment appeared to emphasize the utility of ideas over originality, and the general creative ability score may not have effectively captured the domain-specific thinking processes learned during creative activities. In addition, the response options on the activities questionnaire seemed to lack sufficient granularity, making it difficult to infer the quality and quantity of the activities. Additionally, it could be posited that the creative activities were insufficiently scaffolded for learning, not motivating for highly creative teenagers, or that the skills and benefits acquired through these activities failed to transfer effectively to the creative thinking outcome measure.

The belief that creative activities are positively associated with creative performance has long been held among psychologists (Freud 1908; Hocevar 1981; Vygotsky 1930/2004). This assumption likely originates from the broader educational principle that consistent practice of a skill tends to improve performance, a relation well documented in academic achievement research (e.g., Feldman and Matjasko 2005; Fredricks and Eccles 2006). Beside this practice effect, the assumed positive association between creative activities and creative performance might also simply stem from a selection effect, in which more highly creative individuals disproportionately choose to participate in creative activities (Carbonaro and Maloney 2019; Holland and Andre 1987; Mack and Landau 2015). In either case, however, whether the practice effect or the selection effect (or both) are considered, the resulting association between creative activities and creative performance would be logically hypothesized to be positive. Following from this hypothesis, empirical research has perennially shown a positive relation between participation in creative activities and creative thinking performance (Diedrich et al. 2018; Furnham et al. 2008; Silvia et al. 2011; Steger et al. 2022). In fact, positive correlations with measures of creative activities, accomplishments, or behaviors have even been utilized as validity evidence for creative thinking assessments and psychometric scoring models (e.g., Dollinger et al. 2004; Dumas et al. 2021). In stark contrast to this established pattern, the PISA 2022 creative thinking report has revealed a surprising negative association between students' self-reported engagement in creative activities and their performance on the creative thinking measure. Students who participated in a greater number of creative activities, both within and outside the school environment, demonstrated lower performance on the creative thinking assessment (OECD 2024a). Specifically, the creative thinking performance measure correlated with self-reported creative activities inside of school at r = −0.25 and outside of school at r = −0.32. These correlations were calculated by us, accounting for all 10 plausible values and applying sampling weights to ensure valid results (OECD 2024b). In contrast, previous research has consistently found positive correlations between engagement in creative activities and creative thinking. For example, Plucker (2004) reported positive correlations ranging from 0.27 to 0.72 across different domains of the Creative Behavior Inventory (CBI) and raters' evaluations of participants' explanations of their most creative achievements. Later, McAleer et al. (2019) found a correlation of r = 0.36 between the CBI and the Test for Creative Thinking—Drawing Production (TCT-DP). Similarly, the Creative Achievement Questionnaire (CAQ) has also shown positive correlations with three measures of creativity: peer nominations of students' creativity (r = 0.23), originality (r = 0.16), and students' self-assessed creative behavior at school (r = 0.22; Ivcevic and Hoffmann 2021). Furnham et al. (2008) reported a correlation of r = 0.24 between the Biographical Inventory of Creative Behaviors (BICB) and self-reported creativity, and r = 0.33 between the BICB and the Unusual Uses divergent thinking task. Additionally, Diedrich et al. (2018) Creative Activities and Achievements (ICAA) inventory showed correlations ranging from 0.05 to 0.32 with divergent thinking fluency and originality, as measured by the Alternate Uses and Creative Instances tasks, as well as with self-reported creativity assessed by the Runco Ideational Behavior Scale (RIBS).

Further exploring this subject, Barbot and Kaufman (2025) noted in the introduction to this special issue that the relation between creative activities and creative thinking might be curvilinear, a possibility also suggested in the PISA results report (OECD 2024a). In other words, both minimal and excessive participation in creative activities might be associated with lower creative thinking, while a moderate level of engagement could be optimal for creative performance. Perhaps, when students engage in too many activities without sustained focus, they may struggle to develop expertise or meaningful creative skills. Additionally, extensive participation could take time away from core academic subjects, potentially impacting students' test performance—especially since PISA's creative thinking measure draws on domain-specific scientific problem-solving skills. Conversely, limited and inconsistent participation may not provide the necessary practice or cognitive challenge for creative growth. These findings suggest that there may be an optimal level of creative engagement that maximizes creative thinking outcomes. To test this hypothesis, further secondary data analysis is needed to model a nonlinear relation and determine whether creativity benefits most from a balanced level of participation.

This unexpected finding could be attributed to two general types of phenomena. First, it may reflect a measurement artifact: Limitations to the validity of the measures used to assess creative thinking or creative activities, or a poor alignment between the two. Alternatively, it might genuinely suggest that increased involvement in creative activities does indeed predict lower levels of creative thinking, potentially due to underlying psychological or contextual factors that inhibit the development or transfer of creative skills from the activities to the summative thinking assessment. We will explore these two potential explanations for this anomalous finding in-depth in the following sections.

1 Measurement Artifactual Explanations

When encountering an unexpected finding, one helpful initial step is to ensure that the measurement instruments effectively captured the intended constructs. This section critically evaluates the PISA creative thinking and the creative activities measures, identifying potential discrepancies or misalignments between the two, in order to posit possible explanations for the anomalous negative correlation.

1.1 The Creative Ability Measure May Have Been Overly Focused on Utility of Ideas

The way creativity is defined influences how it is measured, and therefore, the outcomes obtained (Reiter-Palmon and Schoenbeck 2020). Within the creativity research field, the most widely endorsed definition is the ability to generate ideas that are both original and useful within a specific context (Diedrich et al. 2015; Runco and Jaeger 2012; Torrance 1963). Aligning with this tradition, PISA defined creativity as “the competence to engage productively in the generation, evaluation, and improvement of ideas that can result in original and effective solutions, advances in knowledge, and impactful expressions of imagination” (OECD 2024a, p. 47).

Despite their definitional emphasis on originality, PISA's operationalization of creative thinking, however, appears to have placed a stronger emphasis on utility over originality. For instance, in assessing the three ideation processes targeted in the PISA creative thinking assessment—generation of diverse ideas; evaluation and improvement of ideas; and generation of original ideas—more items focused on the first two processes (12 and 9 items, respectively) than on generating original ideas (11 items). Perhaps most importantly, the coding process for the items prioritized utility as the primary criterion, with responses initially assessed for their practical usefulness before being evaluated for originality (OECD 2024a). For instance, the item instructions focused on assessing the originality of ideas, but the corresponding coding guidelines specified that responses had to be useful first before they could be original. Even if a response lacked originality, it could still receive partial credit, but a response that was original but not useful would have received no credit. Full credit, however, was awarded only if the response incorporated an innovative approach, implementation, or idea that was simultaneously original and useful (OECD 2024a, Chapter 1, pp. 52–55). Therefore, it is evident that the assessment of creativity was influenced significantly by a utility-driven framework, potentially overshadowing the evaluative focus on originality.

The high correlation observed between the creativity measure and academic achievement in mathematics (r = 0.67) and reading (r = 0.66) further highlights this issue, suggesting that the assessment may favor convergent skills associated with traditional academic success (OECD 2024a, p.83). Consequently, the highly convergent nature of the creative performance assessment may fail to capture the divergent and exploratory skills that creative activities, both in and out of school, might have been intended to cultivate, thereby reducing or even reversing the correlation with creative activities.

1.2 The Creative Ability Measure Aggregated All Domains Into One Score

The PISA creative thinking assessment may have faced a significant limitation due to the aggregation of scores from multiple subscales into a single general creative proficiency score (OECD 2024b). While this approach provided a quantitative overview of overall creative performance, it may have lacked the precision required to capture the three dimensions of creativity targeted by PISA (i.e., originality, diversity, and evaluation of ideas) across domains of learning. Furthermore, by combining scores across varied domains—written expression, social problem-solving, scientific problem-solving, and visual expression—the PISA creative thinking assessment may have obscured domain-specific strengths and intraindividual variations in performance. In the same way that it would be ineffective to aggregate scores into a single proficiency level in mathematics, targeting domain-specific knowledge—such as algebra, geometry, or numerical reasoning—requires distinct assessments that capture each of these bodies of knowledge separately (e.g., Yao 2010).

Reiter-Palmon et al. (2012) provided empirical support for the domain-specificity of creativity, whereas earlier scholars such as Guilford (1967), Torrance (1998), and Plucker (1999) advocated for a domain-general perspective. Despite this, the majority of contemporary researchers align with the domain-specific framework while acknowledging certain domain-general characteristics like personality traits, dispositions, and behaviors (Baer 2012; Baer and Kaufman 2005; Barbot et al. 2016; Feist 1998; Kaufman and Baer 2004). For example, today it is not highly controversial to argue that creative accomplishment and impact require domain-specific knowledge (Dumas et al. 2024), and that domain knowledge also affects evaluations of creative ideas, both from self and from others (Dumas and Kaufman 2024).

As Silvia et al. (2009) noted, “the domain-specific camp can't win if it makes domain-general statistical assumptions” (p. 141). Although the PISA creative thinking measure claimed domain generalizability, the social and scientific problem-solving tasks included within it appear to be highly dependent on domain-specific knowledge. For example, in the Save a River task (OECD 2024a, pp. 65–67), item 1 asked students to generate diverse, scientifically valid ideas to explain why there are fewer frogs where the river flows out of the city. Item 2 required students to improve an experiment testing whether pollution from factories is causing the decline in frog populations in an original way. Both items seem to rely on preexisting knowledge of pollution and scientific experimentation methodology that might be taught within the academic domains of biology or ecology within a high school science class.

Aggregating scores into a domain-general framework and applying domain-general assumptions risk overlooking the nuanced, domain-specific knowledge both targeted in the assessment and potentially cultivated through domain-specific creative activities. This misalignment may have contributed to the observed negative correlation between creative thinking and participation in creative activities.

1.3 The Creative Activities Measure Appeared Vague and Possibly Inexact

The Likert response scale employed in the PISA creative activities measure may have lacked the granularity necessary to effectively capture the nuanced nature of creative engagement. To illustrate this, consider the item: “Indicate how often you participate in each activity listed below in your school. Indicate if it is not available at your school.” The listed creative activities were Art classes/activities (e.g., painting, drawing); Creative writing classes/activities; Music classes/activities (e.g., chorus, band); Debate club; Dramatics/theater classes/activities; Publications (e.g., newspaper, yearbooks, and literary magazine); Science club; Computer programming classes/activities. Students selected from the following response categories: Never or almost never, About once or twice a year, About once or twice a month, About once or twice a week, Every day or almost every day, and Not available (OECD 2024b). One key limitation is its focus on the frequency of activities without addressing their quality. For example, a child participating in an art project once or twice a month may invest substantial time and effort in planning and execution, resulting in a deeply meaningful and impactful creative experience. Conversely, daily creative activities might become habitual or routine, offering less opportunity for substantial creative engagement and creative thinking development.

Another limitation is the ambiguity surrounding the interpretation of the frequency categories. For instance, the phrase “about once or twice a week” provided no clear indication of the actual time spent on the activity—whether it referred to a few minutes or several hours. This lack of specificity likely undermined the ability to accurately assess the depth, intensity, and personal significance of students' participation in creative activities. Without a clearer framework for measuring both time investment and qualitative aspects of engagement, the scale may risk oversimplifying and misrepresenting the complexities of creative participation.

As Scott et al. (2004) observed, the effectiveness of creative training programs is highly dependent on factors such as duration, the inclusion of challenging and real-world problems, domain-specific tasks, and the application of cognitive strategies. Accordingly, many well-established measures of creative activities employ more sophisticated frameworks that account for both the length and quality of these activities (Paek and Runco 2017). Descriptively, the PISA creative activities assessment, with only eight items, is notably smaller in scope compared to other widely used creative activity measures. For instance, the Kaufman Domains of Creativity Scale (K-DOCS) comprises 50 items (Kaufman 2012), the Biographical Inventory of Creative Behaviors (BICB) contains 34 items (Batey 2007), the Creative Achievement Questionnaire (CAQ) includes 65 items (Carson et al. 2005), and the Inventory of Creative Activities and Achievements (ICAA) consists of 48 items (Diedrich et al. 2018). The Creative Behavior Scale (CBI) features an extensive 90 items (Hocevar 1979). The limited number of items in the PISA creative activity measure could have presented a challenge in fully capturing the multifaceted nature of creative activity participation. This brevity of the measure and its focus on quantity instead of quality may have contributed to the negative correlation between creative activities and creative thinking.

2 Psychological Explanations

The measurement issue may not have been the sole explanation for the negative correlation between participation in creative activities and creative thinking performance. It is also worth considering whether participation in creative activities genuinely contributed to improvements in creative thinking or not. Here, we consider three possible psychological explanations for the observed negative correlation, with the assumption that the correlation is not artifactual.

2.1 Creative Activities Were Simply Time to Goof Off, Not Learn to be Creative

Adolescents may participate in creative activities for reasons unrelated to enhancing creativity, such as social interaction, peer bonding, parental expectations, or fulfilling extracurricular obligations (Fredricks 2011; Mahoney et al. 2006). These motivations might divert their focus from developing creative skills to meeting social goals. Moreover, unstructured creative activities may encroach on time that could otherwise be devoted to academic learning (Marsh 1992). This reduction in instructional time could adversely affect performance on assessments requiring task-specific and convergent creative thinking, such as PISA's focus on scientific and social problem-solving (Moga et al. 2000), potentially leading to a negative correlation among the activities that reduced the instructional time and the (highly convergent) creative thinking outcome measure.

Unstructured activities might lack the necessary scaffolding, clear goals, challenges, or cognitive strategies required for fostering significant creative development (Dumas et al. 2024; Scott et al. 2004). Without these elements, students may perceive such activities as opportunities for leisure rather than skill building. When creative activities lack alignment with clear learning objectives, students are less likely to develop the declarative or procedural knowledge needed for high performance on creativity assessments (Runco 2014). While adolescents often value autonomy, excessive freedom in informal learning contexts might not promote effective skill development. Additionally, activities that are overly simplistic or disconnected from adolescents' personal goals and identities can result in disengagement (Kolb and Kolb 2005; Plucker et al. 2004). This suggests that without structured and goal-oriented approaches, creative activities may fall short of their potential to enhance students' creativity meaningfully and may even result in paradoxically lower creative thinking performance (as suggested by the negative correlations observed here).

In general, while formal education plays a central role in talent development, informal learning through extracurricular activities has been shown to contribute only modestly to differences in individual achievement within the same curriculum or program (Dumais 2006; Gagné 2000). Furthermore, such activities often contribute minimally to the development of students' knowledge and skills (Shulruf et al. 2007) and may negatively correlate with performance measures due to the reduction in more effective instructional time. This may be particularly relevant given the convergent nature of the PISA creative thinking assessment and its focus on scientific and social creative problem-solving tasks, which might be better taught to students within a formal instructional setting rather than an informal extracurricular setting.

2.2 Gains in Creativity During the Activities Did Not Transfer to the Assessment

The PISA creative thinking assessment focused on two key cognitive processes: divergent thinking, which involves generating a broad range of ideas, and convergent thinking, the ability to evaluate and select optimal solutions for specific tasks (Guilford 1967; OECD 2024a). While these cognitive processes are conceptualized as domain-general, half of PISA's creative thinking tasks were embedded within specific domains such as scientific and social problem-solving. Research suggests that creativity rarely transfers across domains (Cheng 2016; Dumas and Doherty 2024; Haskel, 2000). Domain-specific interventions, such as art programs, may enhance creativity within the specific domain they target but fail to influence other domains requiring distinct knowledge, such as music or creative writing (Moga et al. 2000). This underscores a potential misalignment between the focus of the creative activities that students participated in and the knowledge assessed by the PISA creative thinking assessment.

Moreover, creative thinking skills developed in one context may only transfer to another context effectively through explicit instruction, the use of strategic learning approaches, and a supportive creative learning environment (Lubart et al. 2011; Scott et al. 2004). This suggests that creative activities may not have supported students in developing the specific skill set needed for creativity assessment, or that skill transfer did not occur due to a lack of intentional scaffolding, targeted strategies, or the appropriate environment for skill application (Hennessey and Amabile 2010). Although the lack of transfer is more likely to produce null rather than negative correlations among creative activity participation and creative thinking, it could also result in a negative correlation when combined with other measurement artifacts we discussed previously, such as the aggregation of scores into a single domain-general score for measuring creative thinking and an emphasis on quantity rather than quality in measuring creative activities.

Key processes such as self-explanation, metacognition, exposure to varied contexts, social learning opportunities, constructive feedback, self-reflection, and self-monitoring are essential for enabling the transfer of knowledge across varied tasks (Billing 2007; Hattie and Timperley 2007; Perkins and Salomon 1992). These strategies foster adaptability, enhancing cognitive flexibility and the application of skills in novel situations.

Furthermore, assessments operate within a unique and formalized context, wherein students might prioritize rational, well-developed, or previously tested strategies over exploratory and innovative approaches. This tendency to favor safe strategies may arise from a desire to minimize risk, reducing students' willingness to engage in novel or experimental thinking during evaluations. Such cautious behavior could limit the expression of creative potential, negatively impacting performance on standardized creativity assessments, even in the case that students had developed creative thinking abilities in their creative activities inside or outside of school.

2.3 Highly Creative Teens Might Not Choose to Participate in Adult-Led Creative Activities

Adolescents frequently prioritize autonomy and independence, favoring time spent with peers over engagement in adult-led activities. This preference for independence may result in disengagement from extracurricular programs or creative assessments. One potential reason for this disengagement is that adult-led activities might be overly structured, limiting opportunities for self-directed exploration and creative expression, which are particularly valued by teenagers. Overly structured creative activities can inhibit the development of independent thinking, one of the key processes necessary for excelling in creative assessments (Hennessey and Amabile 2010). Research indicates that low levels of autonomy can impede creative performance, not only in organizational contexts (Amabile 1996) but also within educational environments (Núñez and León 2015; Reeve et al. 2004). Adolescents are believed to benefit from creative programs when they are given autonomy, relevance to their personal interests, and opportunities to solve real-world problems (Ryan and Deci 2000). Intrinsic motivation is particularly important in creative activities, as it encourages exploration, risk-taking, and persistence—all crucial elements for fostering creativity (Amabile 1985; Deci and Ryan 1985). In school environments, teacher-led activities that are excessively controlled or prescriptive could stifle students' creative engagement, especially for highly creative students who are likely to value self-direction.

In addition, a lack of recognition of creativity by teachers may exacerbate this issue. Teachers may misinterpret creative behaviors as disruptive, particularly when these behaviors challenge conventional norms or classroom management strategies (Aljughaiman and Mowrer-Reynolds 2005; Kettler et al. 2018; Scherbakova et al. 2024; Kagan et al. 2024; Westby and Dawson 1995). In such cases, creative expression may be met with punitive responses, discouraging students from engaging in creative pursuits. As a result, teachers may design overly structured activities aimed at minimizing disruptions that inadvertently suppress opportunities for creative expression. This restrictive approach may leave some highly creative students (who may perform well on creative thinking assessments) left out of creative activities for the paradoxical reason that their creative behaviors are not welcome within that context. If this pattern occurred, it may have produced the observed negative correlation between the creative activities and ability measures because of a reversed selection effect wherein the highly creative students (who scored highly on the ability assessment) selected out of creative activities, rather than in.

3 Conclusion and Future Directions

The negative correlation between creative performance and participation in creative activities may be due to two primary factors. One potential explanation is a measurement issue. In this case, it is essential to critically assess the creative thinking outcome measure for domain specificity, ensuring that it captures within-domain variability and aligns with the participants' true abilities. Furthermore, further empirical analysis is needed to determine whether the negative correlation between participation in creative activities and creative thinking performance holds consistently across all countries included in the PISA dataset. A comprehensive analysis that accounts for the full complexity of PISA data—including multiple plausible values per student, sampling weights, planned missingness, and clustered data—may help uncover potential explanations for these negative correlations. Of course, such an empirical analysis is outside the scope of the current special issue and remains a future direction. Such analysis could also identify potential interactions, such as cultural, socioeconomic, or educational factors, that may have influenced this relation. Additionally, refining the creative activities measure to account for both the quality and quantity of participation may enhance its ability to capture the complexity of creative engagement.

The second possible explanation is psychological in nature. To explore this further, it is important to understand the characteristics of students who engage in creative activities, the motivations driving their participation, and the specific nature of these activities. Mixed methods research, including qualitative data such as interviews, could provide valuable insights into the profiles of students who participate in creative activities, the reasons behind their engagement, and the types of activities that most effectively nurture creativity.

Conflicts of Interest

The authors declare no conflicts of interest.

Data Availability Statement

The data that support the findings of this study are available in OECD website at https://www.oecd.org/en/data/datasets/pisa-2022-database.html. These data were derived from the following resources available in the public domain: - PISA 2022 dataset, https://www.oecd.org/en/data/datasets/pisa&-2022-database.html.

    The full text of this article hosted at iucr.org is unavailable due to technical difficulties.