Envisioning the Future of Creative Thinking Assessment
Bibliographic Data
| ID | 7170780 |
|---|---|
| Authors | Mathias Benedek (0000-0001-6258-4476, University of Graz Austria, corresponding author), Roger E Beaty (0000-0001-6114-5973, Penn State University USA) |
| Year | 2025 |
| Volume | 59 |
| Issue | 2 |
| Publication date | 2025-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Journal of Creative Behavior (JOURNAL) |
| Journal identifiers | ISSN: 0022-0175 • E-ISSN: 2162-6057 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/jocb.70036 |
| OpenAlex | W4410838120 |
| Language | EN |
| Citations received | 7 |
| References cited | 42 |
The PISA assessment 2022 of creative thinking was a moonshot effort that introduced significant advancements over existing creativity tests, including a broad range of domains (written, visual, social, and scientific), implementation in many languages, and sophisticated scoring methods. PISA 2022 demonstrated the general feasibility of assessing creative thinking ability comprehensively at an international scale. However, the complexity of its assessment approach—such as time‐consuming scoring requiring human raters—implies the risk that it may not be easily applied by the scientific community and practitioners. In this commentary, we outline important next steps building on the PISA assessment to further enhance future assessments of creative thinking. Crucial future directions include 1) determining what tasks and scorings ensure high psychometric quality including content validity, 2) enabling efficient, objective scoring by applying AI methods such as Large Language Models (LLMs), 3) ensuring high language accessibility via multilingual tests, 4) targeting a broader age group, and 5) facilitating standardized, reproducible assessments via an open online testing platform. In sum, these developments would lead to an efficient, validated multilingual test of creative thinking, which enhances the accessibility of effective creative thinking assessments and thereby supports the democratization and reproducibility of creativity research
Engineering ethics · Management science · Creativity in Education and Neuroscience · Educational Methods and Teacher Development · Engineering · Neuroscience, Education and Cognitive Function · Psychology
Solving the paradox between the generalized partial credit model and Pisa’s rating instructions
Using machine learning techniques for evaluating creativity in Graphic Combination Task (GCT) among Chinese college students
Cross-cultural differential item functioning in the Pisa 2022 creative thinking assessment
Investigating the Validity Evidence of Automated Scoring Methods for Divergent Thinking Assessments
Creative Cognition
Commentary
AI‐Powered Scoring for Creative Thinking
Pisa 2022 Assessment and Analytical Framework
Cultural bias and cultural alignment of large language models
Are creative ideas novel and useful?
Beyond semantic distance
Torrance Tests of Creative Thinking as Predictors of Personal and Public Achievement
The Standard Definition of Creativity
Automated scoring of figural creativity using a convolutional neural network
Testing equal odds in creativity research
Automated assessment of creativity in multilingual narratives
An improved taxonomy of creativity measures based on salient task attributes
Investigating Lasting Effects of Real-Time Feedback on Originality and Evaluation Accuracy
The Patient is Thriving! Current Issues, Recent Advances, and Future Directions in Creativity Assessment
Creativity in the West and the East
Automatic Scoring of Metaphor Creativity with Large Language Models
Planning Missing Data Designs for Human Ratings in Creativity Research
Creativity, Mating, and Reproductive Successes Outside the Weird World
Measuring original thinking in elementary school
Components of Original Thinking in Gifted Children
Effects of explicit instructions to “be creative” on the psychological meaning of divergent thinking test scores 1
A systematic quantitative review of divergent thinking assessments
Pisa 2022 Creative Thinking Assessment
Investigation of Response Aggregation Methods in Divergent Thinking Assessments
Creativity in the age of generative AI
| Unique citing works | 7 |
|---|---|
| Citations per year | 7 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |