On conceptualisation and an overview of learning path recommender systems in e-learning
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arXiv
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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916288517898240 |
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| author | Fuster-López, A. Cruz, J. M. Guerrero-García, P. Hendrix, E. M. T. Košir, A. Nowak, I. Oneto, L. Sirmakessis, S. Pacheco, M. F. Fernandes, F. P. Pereira, A. I. |
| author_facet | Fuster-López, A. Cruz, J. M. Guerrero-García, P. Hendrix, E. M. T. Košir, A. Nowak, I. Oneto, L. Sirmakessis, S. Pacheco, M. F. Fernandes, F. P. Pereira, A. I. |
| contents | The use of e-learning systems has a long tradition, where students can study online helped by a system. In this context, the use of recommender systems is relatively new. In our research project, we investigated various ways to create a recommender system. They all aim at facilitating the learning and understanding of a student. We present a common concept of the learning path and its learning indicators and embed 5 different recommenders in this context. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_10245 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | On conceptualisation and an overview of learning path recommender systems in e-learning Fuster-López, A. Cruz, J. M. Guerrero-García, P. Hendrix, E. M. T. Košir, A. Nowak, I. Oneto, L. Sirmakessis, S. Pacheco, M. F. Fernandes, F. P. Pereira, A. I. Information Retrieval Artificial Intelligence Machine Learning The use of e-learning systems has a long tradition, where students can study online helped by a system. In this context, the use of recommender systems is relatively new. In our research project, we investigated various ways to create a recommender system. They all aim at facilitating the learning and understanding of a student. We present a common concept of the learning path and its learning indicators and embed 5 different recommenders in this context. |
| title | On conceptualisation and an overview of learning path recommender systems in e-learning |
| topic | Information Retrieval Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2406.10245 |