🤖 AI Learning Circle

Welcome!

👩‍🏫 Members: L.Cordova, V.Pham, M.McKissack, F.Agbo 📅 Semester: Summer 2025
📍 Location: Virtual

📅 Weekly Topics

Week Topic Material
1 Introduction outline | slides
2 Prompt Engineering and Integration Brainstorming outline | slides
3 Canceled this week
4 ChatBuilder and API Demos outline | slides
5
6

🎯 Objectives

Learning Objectives

  • Desire to identify and evaluate AI tools appropriate for integration into curriculum, especially for introductory courses.
  • Interest in ethical usage of generative AI and understanding its underlying logic.
  • Aim to connect AI tools across disciplines and ensure accessibility.
  • Desire to understand and improve the impact of AI on student engagement and learning outcomes.
  • Explore pedagogical best practices for classroom AI integration.

Specific Goals for This Learning Circle

  • Create a toolkit for AI integration, including course shells, syllabi, and sample activities.
  • Develop frameworks or criteria for when and how to use AI in coursework.
  • Support institutional sharing by preparing material for broader faculty adoption.
  • Gather tools and ideas to support faculty across different schools and disciplines.

Teaching Enhancements

  • Enhance student engagement and equip them with decision-making skills on when to use AI.
  • Learn practical strategies from peers for classroom AI usage and support accessibility.
  • Improve structured AI integration into lectures, activities, and assignments.
  • Increase confidence and effectiveness in teaching with AI.

Scholarship Enhancements

  • Leverage the experience to support scholarly communication and faculty collaboration.
  • Use the knowledge to better support faculty and student understanding of AI methods.
  • Potential use of AI for creative endeavors, even if not current research focus.
  • Build confidence in articulating practical implications of AI in education.

Service Enhancements

  • Contribute to institutional initiatives like “AI Across the Curriculum.”
  • Facilitate collaboration between different campuses and programs.
  • Engage faculty and help shape the broader institutional understanding and application of AI.
  • Provide concrete case scenarios to support assessment frameworks for AI learning outcomes.