ARTFEED — Contemporary Art Intelligence

Psychological Mechanisms Behind University Students' Willingness to Disclose AI Use

other · 2026-04-25

A recent study featured on arXiv explores the psychological elements that affect university students' openness in disclosing AI-assisted work. Utilizing the Cognition-Affect-Conation (CAC) framework, the researchers implemented a sequential explanatory mixed-methods approach. The quantitative segment involved analyzing survey responses from 546 university students through structural equation modeling to assess the connections between cognitive perceptions, emotional reactions, and intentions to disclose. In the qualitative segment, semi-structured interviews with 22 students were conducted to shed light on the quantitative results. Findings reveal that psychological safety significantly enhances the likelihood of reporting AI usage, influenced positively by perceived fairness and trust. This research highlights the increasing concerns surrounding AI's role in higher education and the necessity for transparency.

Key facts

  • Study applies Cognition-Affect-Conation (CAC) framework
  • Sequential explanatory mixed-methods design used
  • Survey data from 546 university students analyzed via structural equation modeling
  • Semi-structured interviews conducted with 22 students
  • Psychological safety significantly increases willingness to disclose AI use
  • Perceived fairness and perceived trust positively shape psychological safety
  • Published on arXiv with ID 2604.21733
  • Focus on transparency in AI-assisted academic work

Entities

Institutions

  • arXiv

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