Submission + - Failing CS Grades Soar at UC Berkeley as Professors See Greater AI Usage
theodp writes: "The percentage of failing grades in multiple UC Berkeley computer science classes in spring 2026 is significantly higher than past semesters and marks a departure from the department’s grading guidelines, reports The Daily Californian's Litong Deng. "Instructors point to students’ increased reliance on AI, lack of mathematical preparedness and understaffing as potential contributing factors. According to Berkeleytime, 35.3% of CS 10 students and 10.6% of CS 61A students received F’s in spring 2026. In spring 2025 and spring 2024, the percentage of F’s did not exceed 10% for either class. The electrical engineering and computer sciences department’s grading guidelines state that 7% of students in lower division courses, including CS 10 and CS 61A, should receive D’s and F’s."
"UC Berkeley teaching professor Dan Garcia taught both CS 10, 'The Beauty and Joy of Computing,' and CS 61A, 'The Structure and Interpretation of Computer Programs,' in spring 2026. Garcia believes the 'primary driver' of these abnormally high failing rates is due to a 'vast increase in academic dishonesty' due to students’ usage of large language models, such as Claude, ChatGPT and Google Gemini."
The report came just a day after tech-backed nonprofit Code.org, which bills itself as "the leading provider of K-12 AI and CS education curriculum across the globe", rebranded itself to CodeAI, solidifying its shift to AI education. "This is the generation that will set the terms for how AI is used," said Code.org CEO Karim Meghji in a press release. "Some are being taught to understand it, direct it, question it, and create with it. Most are not. That's the gap CodeAI exists to close."
"UC Berkeley teaching professor Dan Garcia taught both CS 10, 'The Beauty and Joy of Computing,' and CS 61A, 'The Structure and Interpretation of Computer Programs,' in spring 2026. Garcia believes the 'primary driver' of these abnormally high failing rates is due to a 'vast increase in academic dishonesty' due to students’ usage of large language models, such as Claude, ChatGPT and Google Gemini."
The report came just a day after tech-backed nonprofit Code.org, which bills itself as "the leading provider of K-12 AI and CS education curriculum across the globe", rebranded itself to CodeAI, solidifying its shift to AI education. "This is the generation that will set the terms for how AI is used," said Code.org CEO Karim Meghji in a press release. "Some are being taught to understand it, direct it, question it, and create with it. Most are not. That's the gap CodeAI exists to close."