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Generation of a learning path in e-learning environments: literature review

Abstract

Education is moving into an e-learning environment, displacing contact and face-to-face learning. However, current e-learning environments cannot still personalise when creating e-learning paths. Identifying existing solutions’ problems and limitations is critical to generate new, more advanced ideas for creating personalised e-learning paths. The literature analysis, for which 28 articles for 2018–2022 were used, describes the existing solutions used to adapt and optimise e-learning. The article provides an overview of existing research in the field of personalisation of e-learning systems and the creation of e-learning trajectories, proposes the development of a taxonomy of studied methods for recommending and forming individual learning trajectories, analysis of the practices described in the articles to identify the most commonly used of them. Limitations, problems and unresolved issues in previous studies are summarised and provide information for further work on improving the results obtained and for choosing the direction of future research, which is given in the final part of the article.

Keyword : adaptive e-learning, personalisation, e-learning path generation, optimisation, literature review

How to Cite
Ovtšarenko, O. (2023). Generation of a learning path in e-learning environments: literature review. New Trends in Computer Sciences, 1(1), 32–50. https://doi.org/10.3846/ntcs.2023.18278
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Apr 11, 2023
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