Personalization of learning content and its structure, based on limitations of LMSs

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Abstract

This paper evaluates learning management systems as the standardized solutions for e-learning. We present an overview of already researched limitations of these systems, accompanied by new findings from an analysis of existing learning object repositories. Several interesting novel approaches in the area of personalization, adaptation, collaboration and evaluation of learning systems are discussed. Detected shortcomings are used as a basis for the new learning system solution, focused on personalization of both learning content and its organization structure. This paper includes a conceptual proposal and an outline of the technical solution of this system.

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Bartuskova, A., & Krejcar, O. (2016). Personalization of learning content and its structure, based on limitations of LMSs. In Studies in Computational Intelligence (Vol. 642, pp. 455–465). Springer Verlag. https://doi.org/10.1007/978-3-319-31277-4_40

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