Subject-specific AI literacy frameworks are useful maps, not final answers
Claim
Disciplinary AI literacy frameworks should be treated as provisional maps rather than complete descriptions of how each discipline works.
Stance
Supported by the source articles as a practical curriculum-design claim.
Evidence
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In Search of a Foundation for Disciplinary AI Literacy supports this claim through its discussion of this is highly relevant to k-12 ai literacy, curriculum design, disciplinary literacy, and teacher professional learning because it gives educators permission to use practical frameworks without pretending that they fully define a discipline.
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Six Territories for Disciplinary AI Literacy supports this claim through its discussion of this is highly relevant to k-12 ai literacy, curriculum design, teacher professional development, assessment redesign, and disciplinary pedagogy.
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Why Expertise Still Matters and What supports this claim through its discussion of this is highly relevant to K-12 AI literacy, curriculum design, assessment, and teacher professional learning because it positions existing disciplinary expertise as the foundation for responsible AI use.
Practical implication
Educators can use simplified frameworks while explicitly inviting critique and revision when classroom practice exposes their limits.