Reading & References
An annotated list of papers, books, reports, and policy frameworks from the wider literature on AI, education, and society — with a note on why each one matters.
Back to Research & CommentaryThe entries below are works we return to in our own writing. Each one links out to the publisher or DOI; the note underneath is ours, and says why we think it earns your time.
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policy 2024
AI Competency Framework for Teachers
UNESCO
Fifteen competency blocks spanning teachers with no AI knowledge through to experienced practitioners. The most concrete answer yet to the question our own fieldwork keeps raising: what, specifically, should a teacher know?
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policy 2024
AI Competency Framework for Students
UNESCO
The student-facing companion, built on four pillars — human-centred mindset, ethics of AI, AI techniques and applications, and AI system design. Worth reading alongside the teacher framework rather than separately.
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report 2023
AI and the Future of Skills, Volume 2: Methods for Evaluating AI Capabilities
OECD · OECD Publishing, Paris
An attempt to measure AI capability against human skill using education assessments as the yardstick. The methodology matters more than the numbers: it sets the terms on which policymakers will argue about AI and work.
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report 2026
The 2026 AI Index Report — Education
Stanford Institute for Human-Centered AI · Stanford HAI
The education chapter of the annual index — enrolment, workforce, and classroom adoption data in one place. We cite it often because so little else is measured consistently year over year.
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