mlsanityData to 7 Oct 2026

"All Roads Lead to ChatGPT": How Generative AI is Eroding Social Interactions and Student Learning Communities

arXiv 2504.09779 ↗First posted 14 Apr 2025cs.CY cs.AI cs.HCcited by 1

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Abstract (arXiv)

The widespread adoption of generative AI is already impacting learning and help-seeking. While the benefits of generative AI are well-understood, recent studies have also raised concerns about increased potential for cheating and negative impacts on students' metacognition and critical thinking. However, the potential impacts on social interactions, peer learning, and classroom dynamics are not yet well understood. To investigate these aspects, we conducted 17 semi-structured interviews with undergraduate computing students across seven R1 universities in North America. Our findings suggest that help-seeking requests are now often mediated by generative AI. For example, students often redirected questions from their peers to generative AI instead of providing assistance themselves, undermining peer interaction. Students also reported feeling increasingly isolated and demotivated as the social support systems they rely on begin to break down. These findings are concerning given the important role that social interactions play in students' learning and sense of belonging.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 14 of its 58 references that are in the map. First posted on arXiv 14 Apr 2025.

Builds on

14 of 58 references.

References · 14

  1. 2023Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programmingcited by 87
  2. 2023The Robots are Here: Navigating the Generative AI Revolution in Computing Educationcited by 85
  3. 2022Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Bookcited by 84
  4. 2024CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needscited by 81
  5. 2023CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classescited by 71
  6. 2024The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmerscited by 46
  7. 2023Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Coursescited by 38
  8. 2024The Effects of Generative AI on Computing Students' Help-Seeking Preferencescited by 22
  9. 2024Desirable Characteristics for AI Teaching Assistants in Programming Educationcited by 16
  10. 2023Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistantcited by 13
  11. 2024Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Toolscited by 13
  12. 2024Insights from Social Shaping Theory: The Appropriation of Large Language Models in an Undergraduate Programming Coursecited by 9
2 more
  1. 2024"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Modelscited by 5
  2. 2024The Evolving Usage of GenAI by Computing Studentscited by 4

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