Schedule

The workshop consists of two sessions each day.

Wednesday, June 10, 2026

Morning Session: Pathways for AI

Time	Presenter	Talk Title
09:45 am		Opening Remarks
10:00 am	Atri Rudra, Jeff Good	Invited Talk: Bridging the study of AI and traditional disciplines: AI+X degree at the University at Buffalo
10:30 am	Aviv Peleg, Orit Hazzan	Pedagogical Implications of Source Bias: High School Computer Science Teachers' Perspective
10:45 am	Mike Shindler, Ryan Dougherty, Garrett Vowinkel, Nero Li,Yubin Kim	Proof or Bluff? Students, Faculty, and GenAI in Theory of Computing Courses
11:00 am	Christopher Bohn, Bonita Sharif	Incorporating Generative AI into Software Engineering Courses
11:15 am	Derek Hoiem	AI in Education: Pathways, Adoption, and Adaptation
11:30 am	Seth Poulsen	(Teaching CS Theory) Invited Talk

Afternoon Session: Guided Discussions

Time	Presenter	Talk Title
1:00 pm	Amy Ko	Invited Discussion: Love, Learning, and Computing Education
1:40 pm	Mike Shah	Localize Complexity and Slow Down Your Teaching
2:20 pm	Yael Erez, Kevin Lin, Geoffrey Challen, Orit Hazzan	Adapting Computing Assignments for the AI Era: What Are You Changing?

Thursday, June 11, 2026

Morning Session: Teaching CS Theory

Time	Presenter	Talk Title
09:45 am	Jeff Erickson	Invited Talk
10:15 am	Brad Solomon	A Scalable Comparison of AI vs Manual Grading of CS Theory Content in Data Structures
10:30 am	Matthew Ferland	A Mastery System for a CS Theory Course
10:45 am	Chris Bourke	Codeless Parallel and Distributed Computing Modules for Early Computing
11:00 am	Tim Randolph	A Peer-to-Peer Tutorial Model for CS Theory and Algorithms
11:15 am	Ryan Dougherty	Teaching Introductory CS Theory at a United States Service Academy
11:30 am	Gireeja Ranade	(Pathways for AI) Invited Talk

Lunch Discussion

Time	Presenter	Talk Title
12:00 pm	Jérémie O. Lumbroso	What to Do About Grades? Observations from Radical Experiments

Afternoon Session: Best Practices for Teaching

Time	Presenter	Talk Title
1:00 pm	Margaret Ellis	Invited Talk: Rethinking Engagement: Teaching and Learning with AI in CS Education
1:30 pm	Rutwa Engineer	Examining Computer Science Students’ Attitudes and Perceptions Towards Accessible Software Design
1:45 pm	Kalpathi Subramanian, Erik Saule	Engaging Computer Science Students in an Algorithms Course Using Real-World Data and Visualizations
2:00 pm	Rachel Perlman, Orit Hazzan	Preparing Teachers from Diverse Disciplinary Backgrounds for Computer Science Teaching
2:15 pm	Geoffrey Challen	A Course About AI Built With AI Powered By AI
2:30 pm	Dave Weintrop	Invited Talk: Interest-driven Learning in Computing Education: An Example from High School Data Science

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