Pedagogy in the Age of AI: Emerging Strategies and Key Questions for Undergraduate Computing Education
How should we use AI in undergraduate computer science education?
This talk will draw from the preliminary findings of a Computing Research Association's 2025 report, which captured insights from a series of 32 expert roundtables. The talk will highlight key discussion points and emerging strategies from those meetings.
A central theme is how to best integrate AI coding assistants. Many experts disagree about which approaches are best to balance foundational skill development in early courses with the practical application of AI tools in advanced courses.
The talk will present examples of pedagogical techniques being explored, alongside potential new assessment models that emphasize critical analysis over code writing. We will also touch upon the complex institutional questions this shift raises, including faculty support and academic integrity. Attendees will gain insight into the landscape of thought in the CS community and the key questions shaping the future of AI in computing education.
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- 79 William St
- Princeton, New Jersey
- United States 08544
- Building: Friend Center
- Room Number: 004
Speakers
Noah Cowit
Biography:
Dr. Noah Q. Cowit is currently a CI AI Education Fellow at the Computing Research Association (CRA) in Washington, DC, where he is contributing to national efforts to define AI learning goals and scalable models for undergraduate education. He serves as the lead Fellow for the NSF LEVEL UP AI project, which aims to establish consensus on the articulation of the AI knowledge areas, to identify the enabling infrastructure needed for expanding high-quality AI education, and to develop strategies for increasing AI education capacity. In his prior work, Noah conducted computing education research at the University of Colorado, addressing the issue of better retention of students in computer science and AI. Next year, Noah will be a faculty member at University of New South Wales.
All Princeton ACM / IEEE Computer Society meetings are open to the public. Students and their parents are welcome. There is no admission charge, and refreshments are served.
(NOTE: We are **not** our normal room in the CS building this year - this meeting's room [Friend Center 004] is in the lower level of the Friend Center - enter on William St.)