Is “AI it” making students fail? UC Berkeley CS classes see sharp rise in failures amid learning concerns

Failure rates in UC Berkeley’s computer science courses have surged in spring 2026, raising concerns over AI-driven academic dependence, weak mathematical preparation, and reduced student engagement. Faculty members report increased cheating cases and declining office hour attendance, warning that overreliance on generative AI tools may be undermining core learning outcomes and critical thinking skills.



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