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Browse the scientific research and professional literature used across all seven volumes of The Science of Learning for Educators.
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1 reference
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- Vol 7 RE: Chapter 12, App D
human agency and oversightalgorithmic transparencydata governanceprivacy protectionfairness and inclusiontechnical robustnessaccountability mechanismsethical ai adoptionReport Evidence summaryAt a glance
The European Commission’s guidelines help primary and secondary educators use artificial intelligence and data in informed, critical, and ethical ways. Written for teachers without requiring technical expertise, the document explains common educational applications and corrects misconceptions about AI.
Key ideas
It organises reflection around human agency and oversight, transparency, diversity and fairness, societal and environmental wellbeing, privacy and data governance, technical robustness and safety, and accountability. Practical scenarios and questions support evaluation before adoption, during classroom use, and after implementation. Educators are encouraged to clarify the educational purpose, examine whose data are collected, understand system limitations, monitor differential effects, protect learner autonomy, provide meaningful human review, and involve relevant stakeholders. The guidelines do not function as a product endorsement, compliance certificate, or substitute for law and professional judgement.
Why it matters
Their educational value lies in turning broad ethical principles into procurement, design, teaching, and review questions that keep learning goals, inclusion, rights, and human responsibility central when automated systems influence decisions or experiences.
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What it contributes
Evidence summaries explain the central idea and why the source matters to educators.
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Entries link to lawful full text where available, or to a publisher, library or purchase page.
Edition abbreviations
- TE
- Teacher Edition
- PE
- Practice Edition
- RE
- Research Edition
Citation checks
References are checked against publisher records, scholarly indexes, DOI or ISBN metadata, repositories and author records where available. An entry marked [Citation not verified] preserves the wording found in the relevant volume without attributing findings to an unconfirmed work.
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