GenAI Works in Progress: Using Generative AI for Creative and Inclusive Assessments

Moderator: Victoria Sheldon, Faculty Liaison Coordinator, Generative AI Pedagogies, Centre for Teaching Support & Innovation 

Panelists:
Noa Yaari,Communication Instructor, Institute for Studies in Transdisciplinary Engineering Education and Practice (ISTEP), Faculty of Applied Science & Engineering
Dan Zingaro, Associate Professor, Teaching Stream and Associate Chair, Mathematics and Computational Sciences, UTM 
Cathryn Copper, Head Librarian, Architecture, Landscape, and Design (Eberhard Zeidler Library) 

In this cross-disciplinary panel, CTSI and 3 instructors from across the U of T teaching and learning community explore the integration of a variety of generative AI tools in the design and delivery of creative assessments. Drawing on their experiences and reflections, join us in a discussion that centres equity, diversity, and inclusion, and draws insights on how these advanced technologies can enhance pedagogical practices and foster welcoming learning environments. 

During this panel, participants will: 

• Explore Innovative Assessment Approaches: Learn about innovative strategies for incorporating generative AI in creative assignments across different disciplines. 
• Discuss Inclusive Pedagogies: Gain insights into how AI tools can promote equity, diversity, and inclusion, ensuring that all students have the opportunity to succeed.
• Compare Practical Examples: Hear real-world examples of how generative AI has been leveraged to engage students from underrepresented backgrounds and support diverse learning needs.
• Ideate Future Opportunities: Discover new opportunities for student engagement and creativity that arise from the integration of generative AI in educational settings.

The Gen AI Works in Progress Series This is a CTSI/Digital Learning Initiatives programming effort designed to encourage an ongoing, open institutional-level conversation about generative AI in teaching and learning and to create a space for experimentation, sharing and problem-solving. These one-hour presentations will be targeted towards a broad teaching and learning audience where presenters can share current questions, ideas, inquiries or works in progress with a community of peers. Understanding that many of us are still in the early stages of navigating the realm of generative AI, we want to emphasize that these sessions are not intended to showcase definitive answers or practices, rather we are interested in the questions, challenges and learning currently being explored