Novices performed better and reported lower workload with GitHub Copilot than with human partners, but human partners produced more positive emotions and a smaller drop in retest performance after one week.
Computing education in the era of generative AI
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Among novice programmers using AI code generators, trust did not predict compliance with suggestions, while performance correlated with both compliance and increased subsequent trust.
User study reveals nine LLM failure categories in SE tasks and quantifies abandonment factors from 26 participants.
GenAI produced larger self-efficacy gains but noticeably lower learning outcomes than live tutoring, with visualizations underused and GenAI facing barriers on advanced topics.
Viva conducts voice-based oral exams and grades transcripts with a multi-LLM panel; tested on two small NYU cohorts at under $1 per exam while surfacing five implementation patterns from observed failures.
DURA framework applied in one CS2 course enabled LLM use for concept clarification and debugging while increasing office hour attendance and improving student perceptions of instructor care.
The paper recommends shifting CS education from implementation skills to AI-native competencies, fundamental concepts, and critical evaluation based on workshop consensus.
citing papers explorer
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Fast and Forgettable: A Controlled Study of Novices' Performance, Learning, Workload, and Emotion in AI-Assisted and Human Pair Programming Paradigms
Novices performed better and reported lower workload with GitHub Copilot than with human partners, but human partners produced more positive emotions and a smaller drop in retest performance after one week.
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Relationships Between Trust, Compliance, and Performance for Novice Programmers Using AI Code Generation
Among novice programmers using AI code generators, trust did not predict compliance with suggestions, while performance correlated with both compliance and increased subsequent trust.
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Characterization and Effects of CS2 Learning with GenAI, Visualization, and Human Support
GenAI produced larger self-efficacy gains but noticeably lower learning outcomes than live tutoring, with visualizations underused and GenAI facing barriers on advanced topics.
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Demystify, Use, Reflect, Assess (DURA): An Experience Report on LLM Integration in CS2
DURA framework applied in one CS2 course enabled LLM use for concept clarification and debugging while increasing office hour attendance and improving student perceptions of instructor care.
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Reshaping Undergraduate Computer Science Education in the Generative AI Era
The paper recommends shifting CS education from implementation skills to AI-native competencies, fundamental concepts, and critical evaluation based on workshop consensus.