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. 

This session reframes interactions with generative AI as a rhetorical act within language-driven systems. In UMBC's ENGL 211, students apply audience, purpose, tone, and revision principles to AI interactions, learning to treat models as thinking partners rather than text generators. Participants will examine course-based assignments that position AI as a process-oriented tool, helping students critically shape and evaluate AI output across disciplines.

Presenter: Dr. Tanya Olson, Lecturer, Department of English, UMBC

Register for the Virtual Event

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).

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. 

Students often miss opportunities for deeper inquiry during interviews. This session explores a course-specific AI tool that provides structured feedback on student interviews, highlighting assumptions and missed follow-ups. Participants will learn how AI can function as a feedback partner to strengthen empathy, listening, and reflective practice across project-based courses.

Presenter: Dr. Andrew Mangle, Associate Professor, Management Information Systems, Bowie State University

Register for the Virtual Event

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).

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

Register for the Virtual Event

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).