Evidence map›Paper›PMID 42459606›Full record

ArticleFrontiers in psychology2026

The relationship between dependence on artificial intelligence and creative thinking dispositions among graduate students in sport sciences.

Didem Yavuz, Mehmet Fatih Karahüseyinoglu, Ayberk Kirdemir

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Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Didem YavuzDepartment of Physical Education and Sports, Faculty of Sport Sciences, Firat University, Elazig, Türkiye.
Mehmet Fatih KarahüseyinogluDepartment of Physical Education and Sports, Faculty of Sport Sciences, Firat University, Elazig, Türkiye.
Ayberk KirdemirDepartment of Physical Education and Sports, Faculty of Sport Sciences, Firat University, Elazig, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The increasing prevalence of artificial intelligence (AI) technologies in higher education environments has significantly transformed the learning and research processes of graduate students in particular. While AI-supported tools accelerate access to information and facilitate academic processes, various discussions have arisen regarding the potential effects of excessive reliance on these technologies on higher-order cognitive skills, especially creative thinking. In this respect, the aim of this research is to examine the relationship between AI dependency and creative thinking dispositions among graduate students studying in faculties of sports sciences. Methods: In this research, a correlational survey model from quantitative research approaches was used. The population of the study consisted of graduate students studying in the faculties of sports sciences of eight universities located in the Eastern Anatolia Region of Türkiye. Within the scope of the study, data were collected from 286 graduate students using a convenient sampling method. The data were collected using the Dependence to Artificial Intelligence Scale and the Marmara Creative Thinking Dispositions Scale and analyzed using descriptive statistics, independent samples t-test, and Pearson correlation analysis. Results: The research findings revealed that participants' dependence on artificial intelligence varied significantly depending on the AI tools they used most frequently. It was found that this difference favored participants who used personal assistants. Additionally, a statistically significant negative correlation was found between AI dependence and dispositions toward creative thinking. Discussion: These results highlight the importance of the balanced and mindful use of AI tools in graduate education programs for the sustainability of creative thinking skills.

Indexed as

artificial intelligence dependencecreative thinkingeducationhuman-AI interactionsports sciences

Identifiers

PMID42459606
PMCPMC13372326

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