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.

Additional Notes

The artifacts provided with this submission were refined using ChatGPT-4o to ensure clarity and alignment with AI resilience strategies.

Date Created

3-30-2026

Pedagogical Category

Assessment

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