Student reflections revealed tensions between efficiency and academic integrity, and uncertainty about institutional expectations of GenAI use¶

Claim · All claims
Evidence · 1 study · qualitative r? · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

Subclaims¶

q2 i? Students' reflections revealed tensions between efficiency and academic integrity in GenAI use. → Pedlow 2026 q2 i? Students expressed uncertainty about institutional expectations regarding GenAI use. → Pedlow 2026

Evidence¶

Pedlow 2026¶

Pedlow, M., & Maldon, J. (2026). Raising Ethical Awareness of GenAI Use Through Student Self-Assessment in the Transition to Higher Education. Journal of University Teaching and Learning Practice. https://doi.org/10.53761/39ey1895

q2 · i? · qualitative · r?

Thematic analysis of open-text survey responses from commencing university students; the article reports "tensions between efficiency and academic integrity" and uncertainty about institutional expectations.

"Reflections revealed tensions between efficiency and academic integrity, as well as uncertainty about institutional expectations."

Discussion¶

Related Claims¶

• Guided reflection embedded in self-assessment supports commencing students to engage responsibly and confidently with GenAI while maintaining academic integrity — related
• The study used pre- and post-semester surveys with Likert-scale literacy-confidence items and open-text ethical reflection, thematically analysed — related
• Students reported increased personal responsibility and described the reflective self-assessment process as confidence-building during their transition to university — related
• In interviews with 25 engineering students at one Swedish university, students described GenAI as acceptable when it stimulates reflection and directly copying its outputs as cheating, and one used its fallibility as a prompt to double-check — related
• Nursing academics report limited, unclear and inconsistently applied institutional guidance on GenAI use in teaching and assessment — related
• Conflicting student and teacher rules for GenAI produce adaptive counter-norms and student calls for teachers to refine assignments rather than impose unenforceable restrictions — related
• Engineering students develop implicit rules for using GenAI as a self-directed, efficient learning tool when traditional educational tools fall short — related
• AI-augmented instructional design creates tensions between generative affordances and student agency, identity, and academic integrity — related
• Reduced engagement with GenAI feedback functionalities was attributed to a mismatch between GenAI outputs and student expectations — related