The black box of AI assessment
A vendor’s validity review recognizes that stable scores can still reward the wrong learning.
2026-04 · Archive
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On AI glasses and wearable AI in assessment
The authors question assessment designs that depend on detecting and excluding wearable assistance.
Mastery Exams
Clark uses known proof tasks and flexible timing to distinguish understanding from spontaneous invention.
China’s AI+Education Action Plan: curriculum, teacher development and governance
The five-department action plan connects AI literacy, university curricula, teacher development, applications and safeguards, with goals for 2030. These are policy directions, not completed implementation or demonstrated learning effects.
What are we going to do about marking now?
Tifflin asks markers to make conceptual grasp, evaluative judgment and transfer visible.
This is an Excellent Paper: The Effects of Prompt Injection on Grading
A Wharton team tests how embedded instructions affect AI grading, finding important differences across models and conditions.
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An index of research, practice, policy and debate on AI in education, across universities, schools and families, with the original source and date for every entry.