Understanding the Evidence Base on AI in K-12 Education (Stanford University 11.03.26)
https://scale.stanford.edu/research-in-action/understanding-evidence-base-ai-k12-education
"What does rigorous research actually say about how AI affects teaching and learning?
To help answer that question, [the AI Hub for Education of the Stanford University] released a new report: The Evidence Base on AI in K-12: A 2026 Review. The report reviews the current research, focusing specifically on studies that convincingly estimate causal impact, meaning studies that can tell us whether an AI tool changed outcomes for students or educators.
(...)
The full report includes:
* A map of the current research landscape
* Analysis of over 800 AI-in-education papers
* Key findings from the high quality 20 causal studies
* Implications for educators and policymakers"
[Summary: Information provided by the editors of the site and supplemented by the editors of Education Worldwide]
Release date: 04.05.2026
Update: 04.05.2026
Thematic context
News worldwide
- Drei Jahrzehnte Internationale und Vergleichende Erziehungswissenschaft: Perspektiven, Entwicklungen und Diskurse. [Themenheft].
- Influencing. Influencerinnen- und Influencer-Marketing im Digitalen Kapitalismus als Herausforderung für die Grundschule.
- Techno-Faschismus – Wie digitale Technologien die Demokratie aushöhlen.
- GLOBAL: Universities spread data from fake ranking sites – Study (Uni World News 27.05.26)
- USA: Over 18% of Yale faculty fear arrest over teaching – Survey (Uni World News 29.05.26)
