2021
DOI: 10.32591/coas.ojit.0402.03055o
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Reinforcement Learning Approach for Adaptive e-Learning Based on Multiple Learner Characteristics

Abstract: We introduce a novel three stepwise model of adaptive e-learning using multiple learner characteristics. We design a model of a learner attributes enlisting the study domain, summary details of the student and the requirements of the student. We include the theories of learning style to categorize and identify specific individuals so as to improve their experience on the online learning platform and apply it in the model. The affective state extraction model which extracts learner emotions from text inputs du… Show more

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