Instructors and students using AI in their coursework raises both positive and negative issues. The negative include concerns over academic integrity, data privacy, and bias. The positive include access, collaboration, interactivity, and personalized learning. Protecting both instructors and students from such negative while promoting such positive outcomes also are at issue with open pedagogy. This session will consider how instructors may use AI to convert traditional assignments to open pedagogy-based assignments in ways that promote student access, collaboration, and personalized learning while also protecting students’, and their own, privacy rights, academic integrity, and critical thinking. The “what” (traditional assignments), “how” (publication/open access), and “who” (knowledge creators) of such conversions are critical cruxes for both AI-use and open pedagogy. Defining rubrics, voice, context, and audience for open pedagogy via AI prompts works toward resolving them.
Attendees of this session will be able to:- Use AI to create open-enabled instructional materials while protecting academic integrity
- Use AI to support student learning while protecting students’ privacy
- Develop AI prompts to create open pedagogy-based assignments that are objective, appropriate for their context, and protect students’ privacy
