An LLM pipeline generates knowledge components for coding problems, enabling KCGen-KT to outperform existing KT methods and human-written KCs on student response prediction across two datasets.
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Longitudinal surveys show AI coding assistants reduce time on code writing but increase supervisory verification tasks, with stable productivity perceptions yet rising reports of worsened developer experience.
A classroom evaluation with 45 high school students finds that conversational agents can aid CSP learning by delivering context-appropriate information, comparing general and custom agent approaches for effectiveness and engagement.
citing papers explorer
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Automated Knowledge Component Generation for Interpretable Knowledge Tracing in Coding Problems
An LLM pipeline generates knowledge components for coding problems, enabling KCGen-KT to outperform existing KT methods and human-written KCs on student response prediction across two datasets.
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The Impact of AI Coding Assistants on Software Engineering: A Longitudinal Study
Longitudinal surveys show AI coding assistants reduce time on code writing but increase supervisory verification tasks, with stable productivity perceptions yet rising reports of worsened developer experience.
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Investigating Conversational Agents to Support Secondary School Students Learning CSP
A classroom evaluation with 45 high school students finds that conversational agents can aid CSP learning by delivering context-appropriate information, comparing general and custom agent approaches for effectiveness and engagement.