1. Bakhshinategh, B., Zaiane, O.R., ElAtia, S., Ipperciel, D.: Educational data mining applications and tasks: a survey of the last 10 years. Educ. Inf. Technol. 23(1), 537–553 (2018)
2. Grömping, U.: Relative importance for linear regression in R: the package relaimpo. J. Stat. Softw. 17(1), 1–27 (2006)
3. Cortez, P., Silva, A.: Using data mining to predict secondary school student performance. In: Proceedings of 5th Annual Future Business Technology Conference (FUBUTEC 2008), pp. 5–12 (2008)
4. El Aissaoui, O., El Alami El Madani, Y., Oughdir, L., El Allioui, Y.: A fuzzy classification approach for learning style prediction based on web mining technique in e-learning environments. Educ. Inf. Technol. 1–17 (2018)
5. El Aissaoui, O., El Alami El Madani, Y., Oughdir, L., El Allioui, Y.: Combining supervised and unsupervised machine learning algorithms to predict the learners’ learning styles. Procedia Comput. Sci. 148, 87–96 (2019)