Reimagining CS Education

This year, my invited talk series will argue a framework for how we might reimagine computing education around agentic engineering, authentic assessment, and human-centered design. Contact me at kevinl@cs.uw.edu to arrange a talk.

• Slides
• Academic references: Kirdani-Ryan and Ko 2022, Kannam et al. 2024, Griswold 2024, Hou et al. 2025, Denny et al. 2025, Kam et al. 2025 (and Appendix in arXiv:2506.00202), Shapiro 2025, Agarwal et al. 2026

“Coding is not the bottleneck, and it never will be again.” Software engineering is shifting toward judgment: architecting, specifying, verifying, and owning code no human wrote by hand. Computing education has changed to address such shifts before, and it can change to address this one too. Through five paired frames—questions and answers, past and present, depth and breadth, learner and agent, self and others—this talk surveys how computing education can be reimagined for generative AI: the engineer’s new role orchestrating human and AI work, how to assess the learner rather than the agent, how to redirect struggle from producing answers toward posing design questions, and how to rebuild agency and community necessary for dialogue and learning. Generative AI can be a mirror that invites us to rebuild computing education for the better.

If you would prefer to present, adapt, or extend these ideas yourself, the slides are licensed CC BY-NC-SA 4.0.