Teaching in the AI Landscape
Day 1: Wednesday, Sept. 9 | 9:00AM - 1:30PM
Day 2: Thursday, Sept. 10 | 9:00AM - 4:30PM
Regenstein Library, Room 122
The pedagogical implications of AI continue to evolve as these tools and technologies develop, and as instructors and students learn more about them. Join the Chicago Center for Teaching and Learning (CCTL), Academic Technology Solutions (ATS), and the Library and colleagues from across campus for a series of in-person conversations and presentations over a day and a half as we take stock of the current pedagogical landscape as shaped by AI.
This program will draw on and feature the insights of UChicago faculty and instructors who have been thinking through and experimenting with various approaches to AI tools, from constructive integration to thoughtful restriction of their use in a variety of teaching and learning contexts.
Day 1 (9AM – 1:30PM) is structured as a general overview for the current landscape of AI and teaching and learning, including:
- Pedagogical considerations for the AI landscape
- University strategy and the Claude rollout
- Academic integrity and communicating AI policies to students
- An undergraduate student panel discussing AI use and their learning
Day 2 is structured as a full day (9AM – 4:30PM) of faculty panels and workshops focused on pedagogical approaches to teaching without AI and teaching with AI.
Topics will include:
- Panel discussions featuring UChicago faculty and instructors teaching with and without AI tools
- Strategies to support AI-literacy skills for students
- Designing AI-aware assignments and assessments
- Integrating low/no-tech assessments and activities
- Using AI tools to support student learning goals
Faculty and instructors from across the University are welcome to attend all or part of the program on either day. Lunch will be provided on both days. See the schedule details below or view the schedule PDF.
DAY 1: WEDNESDAY, SEPTEMBER 9
|
TIME |
SESSION TITLE |
|
8:30AM – 9:00AM |
Check-In Coffee, tea, and pastries will be served. |
|
9:00AM – 10:30AM |
University Strategy and Responses to AI
Emily Lynn Osborn, Associate Professor of History William H. J. Hubbard, Clifton R. Musser Professor of Law and Economics Kemal Badur, Chief Technology Officer |
|
10:30AM – 11:00AM |
Pedagogical Considerations for the AI Landscape
Joe Lampert, Executive Director, Chicago Center for Teaching and Learning |
|
11:00AM – 11:15AM |
Break |
|
11:15AM – 12:15PM |
Academic Integrity Issues
Joe Lampert, Executive Director, Chicago Center for Teaching and Learning Betsy Noel, Director, Office of College Community Standards |
|
12:15PM – 12:30PM |
Break and Lunch Pick-Up |
|
12:30PM – 1:30PM |
Lunch and Student Panel on AI and Learning |
DAY 2: THURSDAY, SEPTEMBER 10
|
TIME |
SESSION TITLE |
|
8:30AM – 9:00AM |
Check-In Coffee, tea, and pastries will be served. |
|
Sessions on Teaching About AI |
|
|
9:00AM – 10:00AM |
Designing AI-Aware Assignments
Michael Hernandez, Assistant Director for AI and Learning, Chicago Center for Teaching and Learning Mac Crite, Assistant Director of STEM Pedagogy, Chicago Center for Teaching and Learning |
|
10:00AM – 11:00AM |
AI Literacy for Your Students
Rebecca Starkey, Director of Teaching and Academic Engagement, The Library Lois Wong, AI Librarian, Center for Digital Scholarship and the Library |
|
11:00AM – 12:00PM |
Lunch |
|
Sessions on Teaching Without AI |
|
|
12:00PM – 1:00PM |
Faculty Panel on Teaching Without AI |
|
1:00PM – 1:15PM |
Break |
|
1:15PM – 2:15PM |
Workshop: Low and No-Tech Assessments and Activities
Amanda M. Jungels, Deputy Director, Chicago Center for Teaching and Learning Mac Crite, Assistant Director of STEM Pedagogy, Chicago Center for Teaching and Learning |
|
2:15PM – 2:30PM |
Break |
|
Sessions on Teaching With AI |
|
|
2:30PM – 3:30PM |
Faculty Panel on Teaching With AI |
|
3:45PM – 4:45PM |
Workshop: Using AI to Support Student Learning
Michael Hernandez, Assistant Director for AI and Learning, Chicago Center for Teaching and Learning Joe Olivier, Senior Instructional Designer, Academic Technology Solutions |
Teaching in the AI Landscape Canvas Course
Explore the Canvas Course
The Teaching in the AI Landscape Canvas site provides a concise, asynchronous overview of the key information and ideas presented at the annual September event. This open-enrollment Canvas site is the product of an ongoing collaboration across Academic Technology Solutions (ATS), the Chicago Center for Teaching and Learning (CCTL), and the Library to provide, in one place, a set of ideas and resources to support faculty and instructors in thinking through the teaching and learning implications of artificial intelligence.