Strategy Description
The AI Resilient Assessment Audit is a quality assurance workflow where instructors use Generative AI to stress test their discussion prompts for vulnerabilities to academic dishonesty. Vulnerable prompts are remediated using a Personal Synthesis Protocol. This protocol requires students to anchor concepts to verifiable episodic memories and engage in structured peer review. This approach shifts assessments from simple recall to self-determined learning and fosters deeper student engagement.
About the Author
Christopher Longo is an Instructional Designer at the University of Pittsburgh College of General Studies. His work focuses on supporting faculty in online course design, video production, and audio engineering. His research interests include instructional technology, music pedagogy, and linguistics. His design philosophy is grounded in Critical Pedagogy and the Science of Learning. He views instructional design through a lens of equity and liberatory pedagogy.
Date Created
3-30-2026
Pedagogical Category
Assessment
Rights
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Recommended Citation
Longo, Christopher, "AI-Resilient Assessment Audit" (2026). Teaching Online Pedagogical Repository. 38.
https://stars.library.ucf.edu/topr/38
3C plus Q Rubric.docx (17 kB)
The AI Resilient Prompt Checklist.docx (16 kB)
Accessibility Statement
This item was created or digitized prior to April 24, 2027, or is a reproduction of legacy media created before that date. It is preserved in its original, unmodified state specifically for research, reference, or historical recordkeeping. In accordance with the ADA Title II Final Rule, the University Libraries provides accessible versions of archival materials upon request. To request an accommodation for this item, please submit an accessibility request form.
Additional Notes
The artifacts provided with this submission were refined using ChatGPT-4o to ensure clarity and alignment with AI resilience strategies.