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open access
A Framework for Item Difficulty Prediction Using AI with Ordered Anchor Booklets
Item difficulty prediction from item content has been studied with linguistic features, supervised models, and AI systems, but most approaches ask a model to produce a calibrated numeric difficulty value directly. This study evaluates a Bookmark-inspired framework in which an AI system places a new
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