This interactive workshop introduces practical approaches for integrating course-specific AI assistants that support student learning outside the classroom. Participants will learn how to design two types of instructional AI tools that rely only on instructor-provided materials, ensuring that AI use remains aligned with course learning objectives: Guided Practice Assistants that lead students through structured problem-solving activities with step-by-step feedback, and Interactive Reading Assistants that guide students through assigned readings while embedding comprehension checkpoints.
The session will include demonstrations of these assistants in practice and a guided design activity in which participants outline their own assistant for a course topic or reading. Participants will leave with practical templates and strategies that can be adapted across disciplines.
Dr. Karen Kitching is a Teaching Professor of Accounting at the McDonough School of Business. A Certified Public Accountant, she focuses on experiential teaching approaches that integrate data analytics, technology, and real-world problem solving into accounting education. Her work... Read More →
