Enabling and Inhibitory Pathways of University Students' Willingness to Disclose AI Use: A Cognition-Affect-Conation Perspective
The increasing integration of artificial intelligence (AI) in higher education has raised important questions regarding students' transparency in reporting AI-assisted work. This study investigates the psychological mechanisms underlying university students' willingness to disclose AI use by applying the Cognition--Affect--Conation (CAC) framework. A sequential explanatory mixed-methods design was employed. In the quantitative phase, survey data were collected from 546 university students and an
Record details
Published: 23 April 2026
Source: arXiv
Category: Research
Topics: Children & education · Transparency · Finance, VC & PE
Retrieved: 14 July 2026
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ethics.ai (23 April 2026), “Enabling and Inhibitory Pathways of University Students' Willingness to Disclose AI Use: A Cognition-Affect-Conation Perspective,” evidence record 5447, https://ethics.ai/record/5447 (originally published by arXiv).
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