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AI literacy framework maps student development in higher education

A new paper proposes a five-stage model for developing AI literacy in higher education, moving beyond simple tool adoption. The proposed continuum guides educators in diagnosing and fostering responsible AI engagement among students. A case study at North Carolina State University involving over 330 participants between Fall 2024 and Spring 2026 observed participants progressing from uncritical use towards informed and critical evaluation of AI systems. AI

IMPACT Provides a structured approach for educators to cultivate critical AI understanding and responsible use among students.

RANK_REASON Academic paper proposing a new framework for AI literacy development. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · J. Paul Liu, Rachel Levy ·

    Beyond Tool Adoption: A Practical Five-Stage Developmental Continuum for AI Literacy in Higher Education

    arXiv:2606.00038v1 Announce Type: cross Abstract: Artificial intelligence (AI) literacy is increasingly recognized as a foundational competency for all university graduates. Yet students' engagement with AI tools often clusters at two problematic extremes: avoidance driven by fea…