Mathematical Creativity
A Systematic Review of Definitions, Frameworks, and Assessment Practices
Bibliographic Data
| ID | 22043182 |
|---|---|
| Authors | Yasemin Sipahi (0000-0002-9719-1952, University of Georgia, corresponding author), Kadir Bahar (0000-0001-5825-3017, University of Georgia) |
| Year | 2025 |
| Volume | 15 |
| Issue | 10 |
| Pages | 1348 |
| Publication date | 2025-10-11 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci15101348 |
| OpenAlex | W4415117692 |
| Language | EN |
| Citations received | 2 |
| References cited | 83 |
Mathematical creativity (MC) plays an important role in mathematics and education; however, its conceptualization and assessment remain inconsistent across empirical studies. This systematic review examined how MC has been defined, conceptualized, and assessed across 80 empirical studies involving K-12 populations. Through thematic analysis, the study identified three definition types: divergent thinking, problem-solving, and problem-posing, as well as affective–motivational emphasis. We organized theoretical frameworks into three categories: domain-general, domain-specific, and multidimensional frameworks. Results showed that the most common definitions emphasized divergent thinking components while fewer studies highlighted affective and dispositional factors. Domain-specific frameworks were the most frequently used, followed by multidimensional frameworks. Regarding assessment, studies predominantly relied on divergent-thinking scoring. Most assessments used criterion-referenced rubrics with norm-based comparisons. They were delivered mainly in paper-pencil format. Tasks were typically open-ended multiple-solution problems with fewer studies using self-reports or observational methods. Overall, the field prioritizes product-based scoring (e.g., fluency, flexibility, originality) over evidence about students’ solution processes (e.g., reasoning, metacognitive monitoring). To improve cross-context comparability, future work should standardize and transparently report age, grade, and country coding and scoring practices
Conceptualization · Creativity · Empirical research · Metacognition · Observational study · Rubric · Systematic review · Creativity in Education and Neuroscience · Education, Achievement, and Giftedness · Neuroscience, Education and Cognitive Function
How to Solve It
The Cambridge Handbook of Creativity
Systematic Reviews in the Social Sciences
Sociomathematical Norms, Argumentation, and Autonomy in Mathematics
The PRISMA 2020 statement
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
The influence of flow experience on mathematical creativity among primary school students in China
Mathematical Creativity in Elementary School Children
A Theoretical Model for the Development of Mathematical Talent through Mathematical Creativity
Automatic Assessment of Mathematical Creativity using Natural Language Processing
Reducing Excellence Gaps
Creative self-efficacy, attitudes, creative style, and environmental literacy
A Model of Mathematical Giftedness
Creative Teaching
Intelligence
Social psychology of creativity
The social psychology of creativity
The structure of intellect
| Citations per year | 2 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |