Overview: The AI, Teaching, and Scholarship series creates a forum for sharing ideas and exploring questions about the ways faculty are engaging with AI in their courses, scholarship, and creative work. The sessions are intended to highlight a range of experiences and perspectives, while generating dialogue that broadens awareness and understanding. The series aims to create opportunities for faculty to learn from one another as they navigate a rapidly changing educational and scholarly landscape. (Co-sponsored by the CLTR and the Division of Natural Science and Mathematics).
AI Tutors and Student Learning
Date: Tuesday, September 8, 2026 (11:30 a.m.-12:30 p.m.)
Location: Case-Geyer, 560 Batza Room
Facilitator: Will Cipolli
The use of AI to support student learning presents both opportunities and concerns. In this session, Will Cipolli, associate professor of mathematics, will share his experiences using AI as a tutoring and learning support tool. Drawing on his work with - a platform that allows instructors to create and share custom AI assistants tailored to specific courses - Cipolli will discuss how AI can be used to provide students with additional guidance and support, while also reflecting on the pedagogical questions and challenges that accompany these emerging practices. Lunch will be available for this session, and we kindly request that you so we can plan for an appropriate amount of food.
New Directions in Scholarship
Date: Thursday, October 1, 2026 (11:30 a.m.-12:30 p.m.)
Location: Bernstein Hall, 215/217 Computer Lab and Lounge
Facilitator(s): Noah Apthorpe, Rebecca Metzler, and Rebecca Shiner
As AI tools become more visible within research and creative practice, faculty are beginning to explore new possibilities while also grappling with important questions about authorship, expertise, judgment, and scholarly integrity. This session provides an opportunity to hear how colleagues are engaging with AI in their own work and to consider together how these technologies may be influencing scholarly and creative practice across disciplines. Lunch will be available for this session, and we kindly request that you so we can plan for an appropriate amount of food.
Teaching With and About AI
Date: Tuesday, October 20, 2026 (11:30 a.m.-12:30 p.m.)
Location: Case-Geyer, 560 Batza Room
Facilitator(s): Nick Diana, Yang Song, and Aaron Wolf
What does it mean to teach with AI? What does it mean to teach about AI? As artificial intelligence becomes increasingly relevant across disciplines, faculty are exploring a range of responses鈥攆rom incorporating AI tools into coursework to examining their broader implications for knowledge, creativity, work, and society. This panel brings together faculty whose courses engage AI in different ways and invites conversation about the opportunities, tensions, and educational questions emerging from these efforts. Lunch will be available for this session, and we kindly request that you so we can plan for an appropriate amount of food.
Exploring Gemini Notebook and Claude Projects
Date: Thursday, October 29, 2026 (11:30 a.m.-12:30 p.m.)
Location: Bernstein Hall, 215/217 Computer Lab and Lounge
Facilitator(s): Doug Johnson and Joel Sommers
骋辞辞驳濒别鈥檚 Gemini Notebook and Anthropic鈥檚 Claude Projects use the technique of Retrieval-Augmented Generation to help ground LLM responses in user-uploaded content such as research articles, course materials, and other resources. In this session, Douglas Johnson, Dean of Academic and Curricular Affairs and William R. Kenan Jr. Professor of Psychological and Brain Sciences, and Joel Sommers, Director of the Division of Natural Sciences and Mathematics and Professor of Computer Science will discuss their experiences using these tools to support student learning in coursework and in research. Lunch will be available for this session, and we kindly request that you so we can plan for an appropriate amount of food.
On Building a Gaza Social Media Archive
Date: Wednesday, November 4, 2026 (12:15-1:15 p.m.)
Location: Case-Geyer, 560 Batza Room
Facilitator(s): Dan Monk and Andrew Smith
The rapid disappearance of social media documenting the Gaza conflict presented an urgent challenge for preserving a record of an historically significant event. This session examines how one 冈本视频 social scientist, working collaboratively with ITS and Library colleagues, is creating the Gaza Visual Social Media Archive (G-VSMA) through an iterative process of research, design, and software development. Together, the project brought AI into the development of the archive鈥檚 software, editorial workflow, and multilingual content analysis. The discussion will reflect on what this work suggests about the evolving role of AI in scholarly inquiry, research design, collaboration, and knowledge creation. Lunch will be available for this session, and we kindly request that you so we can plan for an appropriate amount of food.