publisher
“Should I tell my teacher?” Student AI disclosure practices, stigma, and self-regulated learning in higher education
- Source
- Frontiers in Education
- Published
- Last verified
- 18 Aug 2026
- Confidence
- Moderate
- Evidence
- Original document retained
- Reading time
- 1 min
- Country
- International
- Relevant to
- Technology & Data, Policy & Regulation, Research & Evidence, Risk & Compliance
Executive summary
What happened, and why should leadership care?
Research from Frontiers in Education indicates that the increasing use of generative AI (GAI) tools by students in higher education raises significant concerns regarding academic integrity and self-regulated learning. A study involving 78 undergraduate students explored factors influencing their willingness to disclose AI tool use, including worries about negative consequences, AI usage behaviors, and demographic factors. Preliminary findings suggest a correlation between these factors and disclosure practices.
Why this matters
Why is this strategically important?
The integration of AI in educational settings presents a strategic challenge to established norms of academic integrity and student development. Understanding student disclosure practices is crucial for maintaining credible assessment frameworks and fostering ethical technological adoption within educational institutions. This issue impacts the perceived value of qualifications and the future workforce's preparedness for AI-driven environments.
Key insights
What should be noted from the evidence?
- Generative AI tools are becoming popular in education, prompting questions about student disclosure of their use.
- Student AI disclosure practices are a critical concern for academic integrity and self-regulated learning (SRL).
- The study examines how worries about negative consequences, AI usage behaviors, and demographic factors relate to students' willingness to disclose AI use.
- Survey data from 78 undergraduate students in an online education course informed the research.
- Preliminary composite indicators for 'worry' and 'disclosure' were retained, suggesting these are key aspects.
Evidence and confidence
How far can this assessment be trusted?
Moderate confidence. Provenance established; supporting evidence remains partial.
Analysis is prepared editorially by Aziz Shuaib Ausi. The original publication remains the authoritative record, and executive judgement remains entirely human.
Source
Where does this originate?
Reported by Frontiers in Education · International. This briefing summarises the publication for executive use; the document itself is not reproduced here.
Read the original publication