{
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    "tag:aim-pro.eu,2026:oer/12ce471a0269",
    "https://zenodo.org/records/20562112",
    "doi:10.5281/zenodo.20562112",
    "zenodo-record:20562112"
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  "dcterms:title": [
    "Teaching Students to Work With, Not Against, Al: A Classroom Model for Critical Literacy in Grades 6-12"
  ],
  "dcterms:type": [
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      "@id": "dcmitype:Text"
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    "Journal"
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  "dcterms:creator": [
    "Metzgar, Matthew"
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  "dcterms:description": [
    "Today’s secondary classrooms face the challenge of integrating artificial intelligence (AI) in a way that enhances learning rather than undermines it. This article presents a classroom model for developing critical AI literacy among students in grades 6–12, emphasizing collaboration with AI tools as learning partners instead of viewing them as threats. Grounded in current research and practitioner experience, the model outlines strategies for incorporating AI into teaching practices while fostering students’ critical thinking, ethical reasoning, and creative problem-solving. Key components include mindset shifts toward AI, explicit instruction on AI’s limitations and biases, and scaffolded activities where students critically evaluate AI-generated content. This single-author perspective offers practical guidance to help educators prepare students for an AI-enhanced world, with recommendations for implementation and future research on critical AI literacy in K–12 settings."
  ],
  "dcterms:subject": [
    "Critical AI Literacy",
    "K-12 Education",
    "AI-Enhanced Teaching"
  ],
  "dcterms:language": [
    "en"
  ],
  "dcterms:license": [
    {
      "@id": "https://creativecommons.org/licenses/by/4.0/"
    }
  ],
  "dcterms:rights": [
    "CC-BY-4.0 — assessed as OPEN by the harvester's licence gate. Conditions: attribution required. open, permissive"
  ],
  "dcterms:accessRights": [
    "open"
  ],
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    "application/pdf",
    "text/markdown"
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  "dcterms:extent": [
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    "33790 bytes (extracted text)"
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  "dcterms:issued": [
    "2026-06-05"
  ],
  "dcterms:modified": [
    "2026-06-05"
  ],
  "dcterms:created": [
    "2026-06-05"
  ],
  "dcterms:isVersionOf": [
    {
      "@id": "https://doi.org/10.5281/zenodo.20562111"
    }
  ],
  "dcterms:provenance": [
    "Retrieved from Zenodo on 2026-10-09 in response to the search string “(\"artificial intelligence\" OR \"machine learning\" OR \"generative AI\" OR \"deep learning\" OR \"reinforcement learning\" OR \"large language model\" OR \"AI\") AND (\"AI concepts\" OR \"types of AI\" OR \"AI fundamentals\" OR \"recognizing AI\" OR \"recognising AI\" OR \"general versus narrow AI\" OR \"narrow AI\" OR \"general AI\" OR \"machine intelligence\" OR \"AI strengths and weaknesses\" OR \"traditional software\" OR \"rule-based systems\" OR \"introduction to AI\" OR \"introduction to artificial intelligence\" OR \"artificial intelligence introduction\" OR \"AI primer\" OR \"foundations of artificial intelligence\" OR \"overview of AI\" OR \"understanding AI\" OR \"history of AI\" OR \"AI essentials\" OR \"AI terminology\" OR \"metaphors for AI\" OR \"AI fundamental concepts\" OR \"AI key concepts\" OR \"philosophy of AI\" OR \"critical AI literacy\")”. Zenodo served the resource and is not asserted to be its publisher or author.",
    "Text extracted from pdf to Markdown by pdf-inspector; the original is retained unchanged beside it."
  ]
}