Programming instructors face challenges adapting courses to generative AI, CHI 2026 research shows
Updated
Updated · O'Reilly Media · Apr 24
Programming instructors face challenges adapting courses to generative AI, CHI 2026 research shows
8 articles · Updated · O'Reilly Media · Apr 24
Sam Lau and collaborators interviewed 13 instructors and surveyed 169 faculty, including 51% from minority-serving institutions, revealing limited course redesigns despite 80% valuing GenAI integration.
Barriers include fragmented departmental support, inconsistent policies, assessment misfit, and resource gaps, with under-resourced institutions particularly affected. Only 37% of surveyed instructors frequently use GenAI in course activities.
The study warns that without coordinated support and funding, GenAI risks widening educational inequities, as only privileged institutions can sustainably adapt. Researchers call for collaborative efforts to make adaptation accessible to all instructors.
With federal funding cuts, how can minority-serving institutions prevent an AI-driven educational divide?
Is the 'emergency' AI response by instructors a bug or a feature for educational innovation?
Is GenAI creating a 'comprehension debt' that leaves future programmers unable to think for themselves?
If students ace AI-assisted homework but fail exams, are traditional assessments now officially obsolete?
As Meta sheds jobs for AI, what skills must students learn to stay employable?