AI literacy only works when it is connected to subject-area knowledge
Claim
AI literacy only works when it is connected to subject-area knowledge and to the ways each field judges evidence, explanation, and authenticity.
Stance
Supported by the source articles as a disciplinary-literacy 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.
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From Reaction to Readiness: Bringing AI Readiness to the Classroom supports this claim through its discussion of AI literacy, assessment, implementation, or learning design in context.
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How to Model Effective AI Use in Classrooms supports this claim through its discussion of AI literacy, assessment, implementation, or learning design in context.
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My Kids Do Long Division by Hand supports this claim through its discussion of AI literacy, assessment, implementation, or learning design in context.
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The Car Wash Problem supports this claim through its discussion of AI literacy, assessment, implementation, or learning design in context.
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The Waning Days of Techno-Futurism supports this claim through its discussion of AI literacy, assessment, implementation, or learning design in context.
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Thinking with AI: The Teacher Workshop supports this claim through its discussion of AI literacy, assessment, implementation, or learning design in context.
Practical implication
AI literacy should be taught through subject-area work, not only as a generic tool-use lesson.