JUAN LI · AI4EDUCATION
Editorial selected dailyFive explicitly chosen notes: four recent readings and one background reading. Original publication dates are separate from the editorial selection date.
Chosen through an explicit editorial list; original publication dates and selection dates are recorded separately.
An English primary-school randomized trial found roughly 24% less planning time with Aila, about 49 minutes weekly, without inferior assessed resources. Use declined during the ten-week trial, and teacher views were mixed.
★ Why selected: A randomized trial of teacher planning time helps distinguish time savings from student learning outcomes.
Selwyn calls for precise, contextual discussion of AI and warns against treating a power user’s experience as universal expertise. Constructive critique should ask what alternative forms of AI and educational practice people want.
★ Why selected: Specify the technology, setting and experience before treating AI in education as a single object.
Meyer highlights observations about teacher roles, curriculum fit, actionable suggestions and multilingual access, alongside disengaging uses. He asks how people actually use AI before treating capabilities as educational outcomes.
★ Why selected: Examine concrete classroom uses rather than relying on product demonstrations.
Educator Zhang Shuling questions defining children’s worth through an ever-expanding list of abilities AI cannot yet perform. Useful capacities matter, but do not exhaust the purpose of education.
★ Why selected: Separate human worth from lists of capabilities that AI cannot replace, adding a perspective on educational purposes.
Freeman revisits a coordinated calculus course of 250–450 students and the compromises required to sustain it.
★ Why selected: A six-year course reflection exposes implementation failures and teacher workload, grounding assessment reform in practical constraints.