ChatGPT Improves Creative Problem-Solving Performance in University Students: An Experimental Study Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.31234/osf.io/9z2tc
University students often employ generative artificial intelligence tools such as ChatGPT in resolution of ill-defined problem-solving tasks. However, the experimental evidence about effects of ChatGPT on complex problem-solving performance is still missing. In this preregistered experiment, the impact of ChatGPT on performance in a complex creative problem-solving task was investigated in 77 university students solving a task with ChatGPT in comparison to 68 students solving a task without it. ChatGPT use significantly improved self-efficacy for task resolution (d = 0.65) and enhanced the quality (d = 0.69), elaboration (d = 0.61), and originality (d = 0.55) of solutions. Moreover, participants with ChatGPT assistance perceived task as easier (d = 0.56) and requiring less mental effort (d = 0.58). However, use of ChatGPT did not make task resolution more interesting (d = 0.08), and the impact of ChatGPT on metacognitive monitoring accuracy was unclear. Although there were no significant differences in absolute accuracy between students solving the task with and without the assistance of ChatGPT, the absence of correlation between self-evaluation judgments and performance suggests that participants struggled to calibrate their self-evaluations when using ChatGPT. Notably, the perceived usefulness of ChatGPT appeared to inform self-evaluation judgments, resulting in higher inaccuracy. The implications for hybrid human-AI regulation (HHAIR) theory are discussed. To regulate effectively, students using AI tools should focus on valid metacognitive cues and ignore cues that could lead to inaccurate outcomes.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.31234/osf.io/9z2tc
- https://psyarxiv.com/9z2tc/download
- OA Status
- gold
- Cited By
- 25
- References
- 79
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4382796759
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4382796759Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.31234/osf.io/9z2tcDigital Object Identifier
- Title
-
ChatGPT Improves Creative Problem-Solving Performance in University Students: An Experimental StudyWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-30Full publication date if available
- Authors
-
Marek Urban, Filip Děchtěrenko, Jiří Lukavský, Veronika Hein, Filip Svacha, Cyril Brom, Kamila UrbanList of authors in order
- Landing page
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https://doi.org/10.31234/osf.io/9z2tcPublisher landing page
- PDF URL
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https://psyarxiv.com/9z2tc/downloadDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://psyarxiv.com/9z2tc/downloadDirect OA link when available
- Concepts
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Task (project management), Metacognition, Psychology, Elaboration, Cognitive psychology, Quality (philosophy), Originality, Resolution (logic), Cognition, Mathematics education, Computer science, Social psychology, Artificial intelligence, Creativity, Humanities, Management, Neuroscience, Philosophy, Economics, EpistemologyTop concepts (fields/topics) attached by OpenAlex
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25Total citation count in OpenAlex
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2025: 16, 2024: 6, 2023: 3Per-year citation counts (last 5 years)
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79Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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