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Less Deliberate in Teams: Student LLM Use Across Individual and Collaborative Work

● high · 2026-07-02llm, student-experience, collaborative-learning, higher-ed, engagement-metrics, llm-in-education, rag

Sehrish Basir Nizamani, Zannah Ziew, Saad Nizamani, Khyati Goyal — ACM SIGCSE Virtual 2026, submitted 29 Jun 2026

Sehrish Basir Nizamani, Zannah Ziew, Saad Nizamani, Khyati Goyal — ACM SIGCSE Virtual 2026, submitted 29 Jun 2026

Semester-long study of 96 CS students shows LLM usage dropped 42.7 percentage points when students moved from individual to team work; team context reduces deliberate LLM engagement.

Key Contributions

  • Semester-long study of 96 CS students shows LLM usage dropped 42.7 percentage points when students moved from individual to team work; team context reduces deliberate LLM engagement.

    • Connections to AI in Education

    This paper contributes to the growing body of research on AI applications in educational settings, specifically in the domains of AI Education, Intelligent Tutoring, and Equity. The findings have implications for how educators design learning experiences that leverage AI while maintaining appropriate pedagogical oversight.

    Connected Concepts

  • AI Education
  • Intelligent Tutoring
  • Equity

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    • Citation

    Sehrish Basir Nizamani, Zannah Ziew, Saad Nizamani, Khyati Goyal (2026). Less Deliberate in Teams: Student LLM Use Across Individual and Collaborative Work. arXiv:2606.30860. ACM SIGCSE Virtual 2026, submitted 29 Jun 2026