Academic integrity was the panel's most frequently cited GenAI policy concern, requiring clear definitions of misconduct and enforceable consequences¶

Claim · All claims
Evidence · 1 study · qualitative r3 · q2

Subclaims¶

q2 i? Academic integrity emerged as the paramount and most frequently cited theme, with panelists agreeing that policies must define GenAI-related academic misconduct and set enforceable consequences. → Crompton 2026

Evidence¶

Crompton 2026¶

Crompton, H., Burke, D., Nickel, C., Bozkurt, A., Miao, F., Sharples, M., Greene, J. A., Parsons, D., Gill-Simmen, L., Edmett, A., Pegrum, M., de Waard, I., Bonk, C. J., Garcia, M. B., Curry, J. H., Lindsey, L., Yang, M., Marshall, S., Bali, M., Deutsch, N., le Roux, S., Benali, M., Bin Samsudin, M. A., Tinmaz, H., Bernacki, M. L., van Wyk, M., Singh, L., Chigona, A., Eaton, L., Xiao, J., Velander, J., Kim, J., Bellas, F., Rajalakshmi, R., de Bem Machado, A., Palalas, A., & Yu, S. (2026). Governing generative AI in higher education: a global Delphi study on policy and practice. International Journal of Educational Technology in Higher Education, 23(21). https://doi.org/10.1186/s41239-026-00602-z

q2 · i? · qualitative · r3

Grounded-coding finding from the Delphi panel's qualitative responses: "Academic integrity emerged as the panel's paramount concern, representing the most frequently cited theme in the study." Panelists agreed policies should define what constitutes GenAI-related misconduct and set enforceable consequences.

"Academic integrity emerged as the panel's paramount concern, representing the most frequently cited theme in the study."

Discussion¶

Related Claims¶

• Academic integrity, professional development, and equity concerns about AI span all surveyed units, though interpreted differently — related
• Substantial proportions of students self-report cheating and misconduct during exams, with higher rates in high schools than colleges — related
• Panelists strongly agreed human oversight must remain central in academic decisions involving GenAI, with clear accountability assignments — related
• Nursing academics link student GenAI misconduct to future unprofessional and unsafe clinical conduct — related
• A significant concern for business students is wanting to use GenAI in academic work without unintentionally committing academic misconduct — related
• Whether student GenAI use constitutes academic misconduct depends fundamentally on the prior question of the university's purpose — related
• Expert panelists overwhelmingly favor a hybrid governance model combining formal policies and flexible guidelines for GenAI in higher education — related