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Study maps ChatGPT's dual role in programming education: aid and risk

A text mining analysis of research discussions on ChatGPT in programming education reveals four dominant themes: pedagogical implementation, student-centered learning, AI infrastructure and human-AI collaboration, and assessment. The literature primarily focuses on classroom practices and learner interaction, with less emphasis on assessment design and institutional governance. ChatGPT is viewed as both a beneficial learning aid and a potential risk due to overreliance, inaccurate outputs, and academic integrity concerns. AI

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IMPACT Highlights the dual nature of AI in education, emphasizing responsible integration and the need for robust assessment and governance mechanisms.

RANK_REASON This is a research paper analyzing scholarly discourse on AI in programming education.

Read on arXiv cs.AI →

COVERAGE [2]

  1. arXiv cs.AI TIER_1 · Juvy C. Grume, John Paul P. Miranda, Aileen P. De Leon, Jordan L. Salenga, Hilene E. Hernandez, Mark Anthony A. Castro, Vernon Grace M. Maniago, Joel D. Canlas, Joel B. Quiambao ·

    Pedagogical Promise and Peril of AI: A Text Mining Analysis of ChatGPT Research Discussions in Programming Education

    arXiv:2605.00361v1 Announce Type: cross Abstract: GenAI systems such as ChatGPT are increasingly discussed in programming education, but the ways in which the research literature conceptualizes and frames their role remain unclear. This chapter applies text mining to publications…

  2. arXiv cs.AI TIER_1 · Joel B. Quiambao ·

    Pedagogical Promise and Peril of AI: A Text Mining Analysis of ChatGPT Research Discussions in Programming Education

    GenAI systems such as ChatGPT are increasingly discussed in programming education, but the ways in which the research literature conceptualizes and frames their role remain unclear. This chapter applies text mining to publications indexed in a leading academic database to map sch…