South Korea revoked official status for AI‑powered textbooks after one semester, citing technical bugs, factual errors, and extra work for teachers. Despite ~$1.4 billion in public and private spending, school adoption halved and the books were demoted to optional materials. The outcome suggests content‑centric 'AI textbooks' fail without rigorous pedagogy, verification, and classroom workflow redesign.
— It cautions policymakers that successful AI in schools requires structured tutoring models, teacher training, and QA—not just adding AI features to content.
msmash
2025.12.01
85% relevant
The piece echoes the South Korea case: large‑scale, hastily deployed AI education efforts can produce worse outcomes; it cites MIT experimental evidence and expert warnings that rushed incorporation 'failed regularly,' reinforcing the prior observed pattern that pedagogy and verification matter for AI in schools.
msmash
2025.10.16
100% relevant
Education Ministry reclassified AI textbooks after a four‑month trial; adoption dropped from 37% to 19% and only 2,095 schools still use them.
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