AI-based learning style detection in adaptive learning systems: a systematic literature review
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40692-024-00328-9.pdf
Reference139 articles.
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2. Ahmad, N., Tasir, Z., Kasim, J., & Sahat, H. (2013). Automatic detection of learning styles in learning management systems by using literature-based method. Procedia-Social and Behavioral Sciences, 103, 181–189. https://doi.org/10.1016/j.sbspro.2013.10.324
3. Aissaoui, O. E., El madani, Y. E. A., Oughdir, L., & Allioui, Y. E. (2019). Combining supervised and unsupervised machine learning algorithms to predict the learners’ learning styles. Procedia Computer Science, 148, 87–96. https://doi.org/10.1016/j.procs.2019.01.012
4. Alkooheji, L., & Al-Hattami, A. (2018). Learning style preferences among college students. International Education Studies, 11(10), 50–63.
5. Alshmrany, S. (2022). Adaptive learning style prediction in e-learning environment using levy flight distribution based CNN model. Cluster Computing, 25(1), 523–536. https://doi.org/10.1007/s10586-021-03403-3
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