FHSUIBTSS 2026 Sign in
Toolkit

Appendix · Pages 8–35

Case Studies in Different Contexts

Three contrasting institutional responses to AI — worked through independently or in small groups, or facilitated back at your home campus.

Case 1 · AI Literacy Initiative (Large US Research University)

A well-resourced university (>80,000 students) responded to the 2023 AI crisis with a three-phase approach: rapid cross-functional task force including students; an AI literacy framework embedded as a graduation requirement; and $2,000–5,000 faculty innovation grants. Results after 18 months: AI-related integrity cases fell from 200+ to 45, faculty comfort rose from 23% to 78%. Cost: $500K+ in year one.

  • Key lessons: student voice matters · principles over rules · discipline-specific guidance beats one-size-fits-all · faculty support is non-negotiable · reframe from threat to opportunity

Case 2 · AI Tutoring for Working Adults (ASEAN Professional Education)

A Thai university's evening Digital Marketing certificate piloted "MarkBot" — a custom GPT-4 tutor on LINE, available 24/7 in Thai or English, programmed to guide rather than answer. Combined with AI-assisted peer groups, adaptive pre-learning modules, and AI-first draft feedback: completion rose from 65% to 82%, faculty grading time fell 40%, and the Thai–international performance gap narrowed 30%. Cost: ~$15/student/month.

  • Key lessons: adult learners with time constraints are the ideal AI use case · supplement, don't replace · multilingual support is an equity lever · start small and iterate · faculty buy-in follows visible benefit

Case 3 · Resource-Constrained Innovation (ASEAN Public University, Health Sciences)

With no budget for tools, detection, or training, a 9,000-student university chose radical transparency: a crowdsourced policy ("AI as Cognitive Partner, Not Cognitive Replacement"), the "Show Your Thinking" protocol (disclose AI use + reflect, worth 10–15% of the grade — violation is hiding AI, not using it), zero-cost peer learning circles, student-led "AI 101 for Professors" workshops, and the 3 Cs assignment redesign test (Context · Creativity · Conversation). Nine months later: 85% faculty adoption, integrity cases down 60%, total cost ~$5,000.

  • Key lessons: you don't need money, you need community · transparency > policing · principles > prescriptions · students as partners · "good enough" beats perfect

Developed by Chanrattnak Mong