AI Literacy for Classrooms

Teaching judgement in the age of generative tools

By Dr. Priya Raman 6 chapters ~37 min total

A teacher-facing primer on using and teaching AI responsibly: what these tools do, where they fail, and how to design assignments that stay honest.

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Contents

  1. 1What These Tools Actually DoPrediction, not knowledge — and why the difference matters in class.7 min read
  2. 2Designing Honest AssignmentsMake the process visible and the shortcut pointless.6 min read
  3. 3Privacy, Bias, and PolicyWhat never goes into the prompt box.5 min read
  4. 4Teaching VerificationThe core skill is not prompting. It is checking.7 min read
  5. 5Bias and RepresentationWhat the training data contained, the output will echo.6 min read
  6. 6A Classroom Policy That WorksSpecific permissions beat blanket bans.6 min read

About the author

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EdTech Researcher & AI Literacy Lead

Dr. Priya Raman researches how schools adopt AI tools responsibly. A former computer-science teacher, she now helps educators build AI literacy curricula that are safe, transparent, and genuinely useful for learning.