Designing Trustworthy AI-Supported Virtual Teaching Assistants: The JAIMIE Framework

AI Amplified: Showcase Spotlights explores innovative applications of generative AI in teaching and learning. Each session features educators pioneering thoughtful, pedagogically-grounded approaches to AI integration in their classrooms. 

How can faculty use generative AI to extend instructional support without replacing human judgment? This interactive session introduces the JAIMIE Framework, a model for designing trustworthy AI-supported virtual teaching assistants in higher education. Using JAIMIE’s evolution from a course-embedded assistant to a broader ecosystem of specialized AI personas, Cory Stephens and Charlotte Seckman will demonstrate how purpose-built assistants can be grounded in approved course materials, bounded by clear guardrails, and evaluated for educational value. Participants will see live examples of text, voice, and avatar-based interaction and consider how a similar approach could support their own courses and institutional priorities.

Presenters: Charlotte Seckman, PhD, RN, NI-BC, CNE, FAAN, Professor, University of Maryland School of Nursing, University of Maryland, Baltimore and Cory Stephens, DNP, MSN, RN, CNE, NI-BC, CPHIMS, FHIMSS, Assistant Professor, University of Maryland School of Nursing, University of Maryland, Baltimore

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This series is co-sponsored by the University System of Maryland Kirwan Center for Academic Innovation, MarylandOnline, and the Council for University System Faculty (CUSF).