Measuring undergraduate students' reliance on Generative AI during problem-solving: Scale development and validation

Chenyu Hou, Gaoxia Zhu, Vidya K. Sudarshan, Fun Siong Lim, Yew-Soon Ong · 2025 · Computers & Education

DOI: 10.1016/j.compedu.2025.105329 · cited by 64 works (OpenAlex) · open-access PDF

Abstract

Reliance on AI describes the behavioral patterns of when and how individuals depend on AI suggestions, and appropriate reliance patterns are necessary to achieve effective human-AI collaboration. Traditional measures often link reliance to decision-making outcomes, which may not be suitable for complex problem-solving tasks where outcomes are not binary (i.e., correct or incorrect) or immediately clear. Therefore, this study aims to develop a scale to measure undergraduate students' behaviors of using Generative AI during problem-solving tasks without directly linking them to specific outcomes

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Topics: Generative grammar, Scale (ratio), Computer science, Artificial intelligence, Mathematics education, Psychology

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