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February 5, 2026

Understanding the drivers of artificial intelligence (AI) use among students at University

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Authors

MRMohamad Arief RafsanjaniPKPutri Ulfa KamaliaMGMuhammad Abdul Ghofur

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Overview

Qualitative analysis explores factors driving AI engagement in students, suggesting implications for university policies.

Key Points

  • This research aims to identify factors influencing student engagement with artificial intelligence tools in higher education.
  • Qualitative case study approach
  • Semi-structured interviews with 13 undergraduate students
  • Thematic analysis of interview data
  • Academic utility identified as the primary driver for using AI tools for writing and research.
  • Emotional factors revealed AI's role in reducing anxiety and boosting confidence under time pressure.
  • Peer influence significantly spreads AI usage through informal networks among students.
  • Ethical concerns about academic integrity and lack of clear guidelines were noted.

Cite This Study

Rafsanjani et al. (2025) studied this question.

synapsesocial.com/papers/698433d8f1d9ada3c1fb154dhttps://doi.org/10.1051/e3sconf/202564002016/pdf
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