Learning path personalization and recommendation methods: A survey of the state-of-the-art

dc.contributor.author José Paulo Leal en
dc.contributor.other 5125 en
dc.date.accessioned 2023-08-02T08:17:06Z
dc.date.available 2023-08-02T08:17:06Z
dc.date.issued 2020 en
dc.description.abstract A learning path is the implementation of a curriculum design. It consists of a set of learning activities that help users achieve particular learning goals. Personalizing these paths became a significant task due to differences in users' limitations, backgrounds, goals, etc. Since the last decade, researchers have proposed a variety of learning path personalization methods using different techniques and approaches. In this paper, we present an overview of the methods that are applied to personalize learning paths as well as their advantages and disadvantages. The main parameters for personalizing learning paths are also described. In addition, we present approaches that are used to evaluate path personalization methods. Finally, we highlight the most significant challenges of these methods, which need to be tackled in order to enhance the quality of the personalization. en
dc.identifier P-00S-AG9 en
dc.identifier.uri https://repositorio.inesctec.pt/handle/123456789/14281
dc.language eng en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Learning path personalization and recommendation methods: A survey of the state-of-the-art en
dc.type en
dc.type Publication en
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