Publish at March 18 2026 Updated March 18 2026
Adaptive learning systems promise to adjust difficulty in real time using behavioral data. But can they really detect boredom or cognitive overload? This article shows that these deeply subjective and motivational states largely escape metrics. Adjustment "on its own" cannot be purely algorithmic: it presupposes a hybrid regulation combining data, pedagogical interpretation and learner metacognition.
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