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📄 Research Article

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

◐ medium · 2026-05-13over-reliance, academic-integrity, hallucination-risk, stem-education, feedback-loop, student-experience, ai-education

Analysis

This book chapter presents a text mining analysis of how scholarly literature frames ChatGPT's role in programming education. Using term frequency analysis, phrase pattern extraction, and topic modeling, the authors identify four dominant themes: pedagogical implementation, student-centered learning, AI infrastructure, and assessment design.

The central finding is a dual positioning: ChatGPT is consistently framed as both a learning aid (enhancing explanation, feedback, efficiency) and a pedagogical risk (overreliance, unreliable outputs, academic integrity). This connects to Academic Integrity, Over Reliance, and Hallucination Risk by documenting these as dominant framings in the research literature. Notably, research is skewed toward classroom practice while systematic assessment design and institutional governance remain underexplored.

Connected Concepts

  • Academic Integrity
  • Over Reliance
  • Hallucination Risk

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    • Citation

    Grume et al. (2026). Pedagogical Promise and Peril of AI: A Text Mining Analysis of ChatGPT Research Discussions in Programming Education. arXiv:2605.00361. Pedagogical Innovations in CS Education (IGI Global).