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Beyond Automation: Why Hand-Authored Data Still Rules Adaptive Learning
AI 자동 생성보다 강력한 '수작업'의 힘: NumPath가 수학 문제를 직접 만드는 이유
Why it matters
Programmatic content generation often fails to provide the diagnostic depth required for effective student intervention. Hand-crafting pedagogical data allows for the creation of progressive hints and error classifiers that address specific cognitive obstacles, such as dyscalculia, which automated systems cannot yet replicate.
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NumPathAdaptive LearningDyscalculiaMistakeClassifierPedagogical Data