The prevalence of e-learning systems has made educational resources more accessible,
interactive and effective to learners without the geographic and temporal boundaries …

Adaptive learning is a teaching approach aiming to personalize the learning experience for
each student. In Computer Science Education (CSE), Adaptive Learning Systems (ALS) can …

Over the years, personalisation in e‐learning has evolved as a promising paradigm for
matching learners' specific requirements. Although many literature reviews on personalised …

Success of e-learning systems depends on their capability to automatically retrieve and
recommend relevant learning content according to the preferences of a specific learner …

Most recommender systems are evaluated on how they accurately predict user ratings.
However, individuals use them for more than an anticipation of their preferences. The …

Online learning and assessments have become an integral part of education systems
around the world. Online education and learning stand out as one of the important …

The expanding approval of e-learning structure has made the need for the customized
suggestion prototype which can be utilized to advance the successful learning condition for …

Purpose The purpose of this paper is to provide adaptive access to learning resources in the
digital library. Design/methodology/approach A novel method using ontology-based multi …

Traditional techniques of recommender systems presented low accuracy performance
because it suffer from sparsity problem hence. In this work we build a recommender model …

Competence-based learning is increasingly widespread in many institutions since it
provides flexibility, facilitates the self-learning and brings the academic and professional …