Faculty Institute on Artificial Intelligence in Teaching & Research
Date: Monday, May 19
Time: 9:00 AM – 4:00 PM
Location: Butler Boardroom and virtually via Zoom (see session links below)
Schedule
| 8:45 AM – 9:00 AM | Welcome and Introduction |
| 9:00 AM – 10:15 AM | Student Perspectives on AI in Teaching & Learning |
| 10:15 AM – 10:30 AM | Break |
| 10:30 AM – 12:00 PM | Understanding and Using Retrieval Augmented Generation (RAG) AI for Teaching and Research |
| 12:00 PM – 12:30 PM | Lunch |
| 12:30 PM – 1:30 PM | “State of the Art Performance” – AU Use/Misuse and Insights for Teaching |
| 1:30 PM – 1:45 PM | Break |
| 1:45 PM – 2:45 PM | Integrating Artificial Intelligence and Rethinking Assessment Strategies |
| 2:45 PM – 3:00 PM | Break |
| 3:00 PM – 4:00 PM | AI Teaching and Learning Dilemmas |
Session Descriptions
Student Perspectives on AI in Teaching & Learning
Presenters: Nasaiah Algarin (Undergraduate Class of 2027, SOC & SOE), Katelyn Lewicky (Undergraduate Class of 2025, KSB), Gabriela Rupp (Undergraduate Class of 2026, SOE, SPA & CAS), Zo Wofford (Undergraduate Class of 2026, CAS) & Ayah Morsy (Masters Class of 2026, SIS)
Moderator: Hannah Jardine (Center for Teaching, Research, and Learning)
Location: Butler Boardroom and virtually via Zoom (Join the zoom session)
Students’ experiences are central to how we address the use of generative artificial intelligence (AI) in our learning spaces. How do students use and think about generative AI? This session offers insights from students in a variety of disciplines as they reflect on the role of generative AI in their educational experiences – where it might be useful, where it might get in the way of their learning goals, the pressures of career-seeking in the age of AI, and the meaning of “responsible” use. What insights can faculty gain from these nuanced perspectives, and how might we revise or rethink our course materials accordingly?
Understanding and Using Retrieval Augmented Generation (RAG) AI for Teaching and Research
Presenter: Derrick Cogburn (CTRL AI in Teaching & Research Faculty Fellow and Professor, SIS | Environment, Development & Health and KSB | Information Technology & Analytics)
Location: Butler Boardroom and virtually via Zoom (Join the zoom session)
In this session, we will focus on leveraging a category of GenAI tools called Retrieval Augmented Generative (RAG-AI) which enables the user to build a target set of documents to use as trusted sources for your LLM-based prompts, reduce hallucinations, and customize your experience. We will introduce a range of these RAG-AI tools that enable you to harness a graphical user interface (GUI), including NotebookLM, AI Studio, and LearnLM. The session includes an interactive hands-on workshop to develop and practice effective strategies for getting the most out of these RAG-AI tools.
“State of the Art Performance” – AI Use/Misuse and Insights for Teaching
Presenter: Alison Thomas (Assistant Dean of Academic Integrity)
Location: Butler Boardroom and virtually via Zoom (Join the zoom session)
The Office of Academic Integrity (OAI) has responded to a number of AI-related concerns. What kinds of AI-use violate the Academic Integrity Code, and what can we learn from the violations we’ve seen? This session will offer insights about how and why students use generative AI inappropriately, as a substitute for work expected to be their own. Participants will be encouraged to use these insights to discuss revising teaching materials to meet this moment, AI literacy, information literacy, and the teaching of research.
Integrating Artificial Intelligence and Rethinking Assessment Strategies
Presenter: Krisztina Domjan (CTRL AI in Teaching & Research Faculty Fellow and Professorial Lecturer, CAS | Literature)
Location: Butler Boardroom and virtually via Zoom (Join the zoom session)
In this workshop, participants will explore the pedagogical benefits of AI tools in teaching, learning, and assessment via the Substitution, Augmentation, Modification, and Redefinition (SAMR) model and learn strategies for incorporating AI into lesson planning and innovative assessment methods aligned with the learning sciences. After learning these approaches, faculty will implement new practices for crafting and posting their Canvas assignments to better align with AI-informed pedagogy.
AI Teaching and Learning Dilemmas
Presenter: Jennifer Steele (CTRL AI in Teaching & Research Faculty Fellow and Professor, School of Education)
Location: Butler Boardroom and virtually via Zoom (Join the zoom session)
In this interactive session, participants will discuss real-life dilemmas they’ve faced with AI in their classrooms, including questions of what is adaptive, useful, ethical, and permissible. They will discuss these dilemmas in small groups, identify common themes, and discuss strategies they’ve found useful so far. In the large group, participants will share themes and strategies for supporting students in this historical moment of technological change. Participants will leave the session with a set of strategies to apply in their classrooms that align with their own values and principles.