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An improved adaptive learning path recommendation model driven by real-time learning analytics
The advancements in the education sector made e-learning more popular in recent years. The velocity of learning content creation and its availability is also growing exponentially day after day. It is challenging for a learner to find a learning path for a course with a vast content repository. So,...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748379/ http://dx.doi.org/10.1007/s40692-022-00250-y |