@article {10.3844/jcssp.2021.242.250,
article_type = {journal},
title = {A Personalized Learning Approach based on Learning Speed},
author = {Aberbach, Hicham and Jeghal, Adil and Sabri, Abdelouahed and Tairi, Hamid and Laaouina, Loubna},
volume = {17},
number = {3},
year = {2021},
month = {Apr},
pages = {242-250},
doi = {10.3844/jcssp.2021.242.250},
url = {https://thescipub.com/abstract/jcssp.2021.242.250},
abstract = {This learning is a process composed of several mechanisms oriented towards the acquisition of certain knowledge, whose actors are called learner and teacher, to improve the effectiveness and usefulness of learning we need to personalize the knowledge, skills and behaviors that allow for a change to a mode of education that gives diverse learning choices to the learners, where the experience is tailored to the learning preferences, specific interests and needs of each learner, we are talking here about personalized learning or adaptive learning, The best criterion that emphasizes personalized or adaptive learning is that it is valid for all levels of education. This includes students from Grade 1 through to adults studying for their career assessments, our work consists in proposing a new method of learning personalization in order to affect the learner towards the content that is appropriate to him, this method is based on the one hand, on the calculation of the learning speeds and on the other hand on the estimation of the average of these velocities using the Markov decision process. The result presented at the Test and result section shows the importance, the quality and the positive impact of this method compared to the other existing.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}