A deliberately strong argument locates reasoning and problem-solving in domain knowledge.
Daisy Christodoulou
AI4Education Person
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A classroom case exposes teacher reading, student trust and ambiguous AI feedback.
Performance-based adaptation is distinguished from rewriting every topic around a learner’s interests.
A large redrafting project makes uptake of feedback visible while leaving learning unresolved.
A vendor’s validity review recognizes that stable scores can still reward the wrong learning.
Stakeholder conversations surface teacher deskilling and pupils’ wish to be read seriously.
Question quality, accuracy, alternatives and persistence matter beyond fluent explanations.
A large vendor report concerns judging agreement, not student learning.
The essay distinguishes productive work from the practice needed to become an expert.
A design report explains why unreliable generated questions were replaced with human-written sets.
A product trial separates teachers’ evaluative judgment from AI-assisted feedback production.