Abstract
The presented work examines the existing approaches to providing e-Learning content based on learners' prior knowledge. An analysis of the existing tools for the development of e-Learning content is performed and their suitability for creating personalized learning content, reflecting the previous competencies of the learners, is carried out. In the paper we have used a step-by-step process of creating and providing personalized knowledge. For data analysis, an approach of describing small structural units of knowledge through competencies is used. As a result of our study we have proposed a conceptual model including interactive resources for analysis of the accumulated prior knowledge and tools for providing personalized content to the learners. Perspective directions for future work are also outlined.
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Blagoev, I., Vassileva, G., & Monov, V. (2021). A Model for e-Learning Based on the Knowledge of Learners. Cybernetics and Information Technologies, 21(2), 121–135. https://doi.org/10.2478/cait-2021-0023
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