AI in Education
Outcome-driven but hard to measure, with a young and vulnerable user base.
Executive
summary
summary
Adaptive practice and grading relief are the credible near-term wins. Efficacy evidence is early and mixed, and student surveillance is the governance line to draw first.
Dots show editorial maturity, from emerging to mature. Safer is assessed against governance readiness, not capability alone.
Articles in this cluster
All 50 articles →Can AI Personalise Learning Better?Adaptive practice helps where mastery is measurable; motivation is not a model output.Better: PartlyCan AI Cut Grading Time?Rubric-based scoring saves hours on structured work; judgement tasks need review.Faster: PartlyCan AI Lower Tutoring Costs?On-demand support scales access; efficacy evidence is early and mixed.Cheaper: PartlyCan AI Keep Students Safer Online?Content and wellbeing monitoring raises hard consent and surveillance questions.Safer: Conditional
Where governance decides the outcome
In Education, better, faster and cheaper increasingly arrive together. Safer does not follow for free: it is the dimension that must be designed, tested and owned. Every article in this cluster ends where that line falls.