Machine Learning in Adaptive Online Learning for Enhanced Learner Engagement

Author:

Er-radi Hicham1,Touis Badr1ORCID,Aammou Souhaib1ORCID

Affiliation:

1. Ecole Normale Supérieur, Abdelmalek Essaadi University, Morocco

Abstract

In this chapter, the authors delve into the intricate world of online learning, emphasizing the paramount importance of adaptability in adaptive online learning systems. Beginning with an overview of the dynamic nature of today's digital learners, the chapter underscores the need for learning platforms to be flexible and responsive to individual learner needs. A significant portion of the chapter is dedicated to the potential of machine learning as a method to enhance adaptability. The authors elucidate how machine learning, with its ability to represent knowledge in a structured and interconnected manner, can be harnessed to create more personalized and contextually relevant learning experiences.

Publisher

IGI Global

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2. Enhancing personalized learning with deep learning in Saudi Arabian universities;International Journal of ADVANCED AND APPLIED SCIENCES;2024-07

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