Shift from punitive detection to proactive educative approaches, co-created detailed guidelines, and assessment designs GenAI cannot do well¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The reviewed studies collectively call for higher education to move from reactive, punitive, top-down measures toward proactive, educative, student-centred approaches. This includes integrating AI ethics and academic integrity into curriculum rather than one-time training, co-creating detailed guidelines with stakeholders, and redesigning assessments. As Giray et al. (2026) argue, "traditional punitive approaches to academic integrity are insufficient in the AI era".

Design Implications¶

Context¶

Requirements¶

• Institutional guidelines should be detailed, participative, accessible, and comprehensive, including concrete examples of ethical and unethical GenAI use and differentiation between assistive tools and generative AI.

Constraints¶

• The review notes assessment redesign responds to findings that students reframe AI cheating as survival strategy when tasks are perceived as irrelevant, unimportant for career goals, or overly burdensome.

Target Learners¶

• higher education undergraduate and graduate students

Target Learning Goals¶

• ethical awareness and reasoning about GenAI use
• academic integrity
• AI literacy

Related Strategies¶

• Foster communities of practice for AI governance instead of rigid top-down policies
• Embed GenAI literacy and ethical use directly in nursing curricula rather than prohibiting it
• Institutions should respond to generative AI in education with guided critical engagement rather than prohibition
• Embed AI as a learning partner and redesign assessments for AI-rich contexts
• Redesign assessment toward progressive, authentic, and reflective methods rather than intensive paperwork

Examples¶

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Key Sources¶

• Ji Ying. (2026). Academic Integrity in the Age of Generative AI: a Scoping Review of Research on Higher Education Student Voices. Journal of Academic Ethics. https://doi.org/10.1007/s10805-026-09752-1