Redesigning the Syllabus for Deeper Learning: AI, Empathy, and Assessment

Join us for an insightful conversation with Dr. Dana Riger, UNC's inaugural Faculty Fellow for Generative AI, as she guides us through the rapid paradigm shift brought on by AI in higher education. Dr. Riger shares her journey from a "fear-driven" assessment redesign, after discovering ChatGPT, to developing a nuanced, values-driven framework for integrating and avoiding AI in the classroom.

We dive into practical strategies, like redesigning traditional research papers into creative, AI-avoidant multimedia projects, and intentionally integrating AI for skills development, such as using chatbots for practice dialogues on polarizing topics. Dr. Riger also addresses the institutional challenge of avoiding "one-size-fits-all" AI policies and underscores the importance of fostering an open dialogue. Ultimately, this episode offers a compelling vision for the future of teaching, emphasizing that the human educator's unique value lies in fostering empathy, presence, and critical dialogue, not just imparting knowledge.

Key Discussion Points:

• The AI Paradigm Shift: Dr. Riger's initial reaction to ChatGPT and her immediate, fear-driven assessment redesign in 2022.

• The Nuanced Approach: Distinguishing between AI-avoidant (experiential, creative) and AI-integrated (intentional skill-building) assessments.

• Practical Examples: How a multimedia project replaces a traditional paper, and using AI to practice difficult, emotionally laden conversations.

• Leading with Collaboration: Why policing AI use is ineffective and the importance of respecting student autonomy and ethical objections.

• Institutional Guidance: The missteps of mandated, uniform AI policies and the need for a thoughtful "middle ground" approach.

• The Value of Process: Shifting assessment focus from the final product to the process of learning (drafts, revisions, process logs).

• The Core Question: What are the unique, human-centered qualities (empathy, presence) that educators must prioritize in the age of AI?