AI4Education Education topic
Public readings arranged by original publication date. People and institutions use explicit mappings; article sources remain in their details.
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.
Teacher workload, student thinking, product evidence and family communication are treated separately.
The proposed restriction concerns independent general-purpose AI use, not all instructional software.
The critique asks whether interest-driven writing loses opportunities to consolidate curriculum knowledge.
Hanyang and Chongqing use university choices to question the idea that one decision fixes an entire life path.
Performance-based adaptation is distinguished from rewriting every topic around a learner’s interests.
Stakeholder conversations surface teacher deskilling and pupils’ wish to be read seriously.
Gopnik connects exploration, apprenticeship and AI literacy in an interview that preserves disagreement about machine reasoning.
Question quality, accuracy, alternatives and persistence matter beyond fluent explanations.