Automatic learning styles prediction: a survey of the State-of-the-Art (2006–2021)
Author:
Funder
Fundação para a Ciência e a Tecnologia
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Education
Link
https://link.springer.com/content/pdf/10.1007/s40692-021-00215-7.pdf
Reference130 articles.
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3. Abraham, R., Delmas, J. F., & Voisin, G. (2010). Pruning a Lévy continuum random tree. Electronic Journal of Probability, 15, 1429–1473. https://doi.org/10.1214/EJP.v15-802
4. Ahmad, N. B. H., & Shamsuddin, S. M. (2010). A comparative analysis of mining techniques for automatic detection of student's learning style. In 2010 10th International Conference on Intelligent Systems Design and Applications (pp. 877–882). IEEE. https://doi.org/10.1109/ISDA.2010.5687150
5. 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
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