Hybrid analysis of the learner’s online behavior based on learning style
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
https://link.springer.com/content/pdf/10.1007/s10639-023-11595-x.pdf
Reference48 articles.
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3. Aissaoui, O., Madani, Y., Oughdir, L., & EL Allioui, Y. (2019). A fuzzy classification approach for learning style prediction based on web mining technique in e-learning environments. Education and Information Technologies, 24, 1943–1959.
4. AL-Shabandar, R., Hussain, A., Keight, R., & Khan, W. (2020). Students performance prediction in online courses using machine learning algorithms. (pp. 1–7). https://doi.org/10.1109/IJCNN48605.2020.9207196https://doi.org/10.1109/IJCNN48605.2020.9207196 .
5. Alshmrany, S. (2022). Adaptive learning style prediction in e-learning environment using levy flight distribution based CNN model. Cluster Computing, 25, 523–536. https://doi.org/10.1007/s10586-021-03403-3 .
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