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Review Oct 2026

Correctness, Convergence, and AI-Generated Code Detection: A Longitudinal Study of Student and Large Language Model Code in Introductory Programming

Large language models can generate plausible solutions to programming assignments, making it tempting to detect their use by matching student code against a reference bank of generated solutions. Yet similar code can also arise when an assignment admits only a few natural implementations, which leaves open what a match...

Runlong Ye, Jing Fan, Angela Zavaleta Bernuy et al. · 0 citations
Book Open access Aug 2026

Towards Human-Centered Large Language Models for Personalized Programming Education

Large Language Models (LLMs) are increasingly used in computing education to support programming practice and generate explanations [5, 9]. However, current LLM-based systems are not pedagogically aligned and fail to adapt to learners’ prior knowledge, often producing feedback that is too advanced or oversimplified [8]...

Jing Fan · 0 citations

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