When
Where
This course is about how people learn when AI is part of the learning environment. Participants will actively engage in AI-supported learning activities and discuss their experiences.
Spaced recall, scaffolded practice, constructivist strategies for developing mental models, and other research-backed approaches have a proven history of supporting learning. In this minicourse, we will explore how generative AI tools can be incorporated into these learning processes to create opportunities for practice, feedback, reflection, and engagement. We will consider the benefits and limitations of these tools and discuss how instructors can support effective student use of AI without creating unsustainable demands on themselves.
This minicourse is designed for instructors who already have some familiarity with AI tools and are interested in exploring how these tools might support student learning. Many of the examples in this course are drawn from the instructor's recent experiences as a student in undergraduate computer science courses, where generative AI tools were used to support learning complex technical concepts. Participants will have opportunities to discuss how these approaches might be adapted to their own disciplines and teaching contexts.
The course runs during the week leading up to the start of the fall semester. While there will not be any synchronous components, participants are expected to complete activities and engage in discussions at regular intervals. The course consists of five modules, each designed to take approximately 60–75 minutes to complete. The offering dates include a weekend to provide participants with additional flexibility.
Participants will leave with a collection of adaptable learning workflows, example prompts, and practical ideas they can use to evaluate or design AI-supported learning activities in their own courses.