Thematic Area: Teaching & Learning
Vision
The responsible and ethical design, development, and use of AI creates a system of higher education that fosters universal access and inclusion, empowers faculty and students, and benefits society.
Mission
To advance research on teaching approaches and learning experiences that develop and deploy responsible AI to enrich the knowledge, skills, and adaptability of faculty and students across the many disciplines in higher education.
Activities & Impacts
- Optimized Education: understanding the use of AI to improve the quality, effectiveness, and value of teaching and learning.
- AI Powered Assistance: development of virtual teaching and research assistants to amplify the student learning experience and manage teaching workload.
- Integration of Ethical and Responsible AI: the ethics of AI use in curriculum design and delivery, and the student learning experience; and responsible AI design and evaluation, including considerations of data privacy, transparency, and bias detection and mitigation.
Spring 2024 Working Group Membership
- Executive Committee Member: Kathy Sward (College of Nursing)
- Executive Committee Member: Mike Kirby (Kahlert School of Computing, Price College of Engineering)
- Lead: Andrea Rorrer (Educational Leadership and Policy College of Education)
- Rohit Aggarwal (Information Systems, Business)
- Anne Cook (Center for Teaching Excellence)
- Leslie Francis (College of Law)
- Deborah Keyek-Franssen (University Connected Learning)
- Rob MacLeod (Biomedical Engineering, Price College of Engineering)
- Jim Agutter (Architecture, Undergraduate Studies, Architecture + Planning)
- Lien Fan Shen (Film and Media Arts, College of Fine Arts)
- Jon Thomas (Digital Learning Technology)