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AI Use in Higher Education Modeled as Coordination Game

A new academic paper proposes a game-theoretic framework to model the use of generative AI in higher education. The research suggests that assessment design and peer expectations play a crucial role in shaping student behavior regarding AI tools. The study indicates that small, well-designed changes in assessment incentives can lead to significant shifts towards responsible AI use, rather than relying on punitive measures or surveillance. AI

IMPACT Provides a new analytical tool for institutions to guide responsible AI adoption in education through assessment design.

RANK_REASON The cluster contains an academic paper detailing a new theoretical framework for analyzing AI use in education. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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AI Use in Higher Education Modeled as Coordination Game

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ndidi Bianca Ogbo, Zhao Song, Shatha Ghareeb, The Anh Han ·

    Mathematical Modelling of Ethical AI Use in Higher Education: A Coordination Game Framework for Future-Facing Learning

    arXiv:2605.27400v1 Announce Type: cross Abstract: The rapid uptake of generative artificial intelligence (AI) in higher education is reshaping assessment practices and intensifying concerns around academic integrity, fairness, and learning quality. While institutional responses i…