Personalized recommendations for learning activities in online environments: a modular rule-based approach
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DOI: 10.1007/s11257-024-09396-z
Abstract: Personalization in online learning environments has been extensively studied at various levels, ranging from adaptive hints during task-solving to recommending whole courses. In this study, we focus on recommending learning activities (sequences of homogeneous tasks).… read more here.
Keywords: modular rule; personalized recommendations; recommendations learning; learning activities ... See more keywords