In this era when every aspect of society is accelerating, people are always seeking
improvement to stay competitive in their careers. E-learning systems fit into the ever …

This study brings an evidence-based review of user individual characteristics employed as
sources of adaptation in recent adaptive learning systems. Twenty-two user individual …

It is difficult for e-learners to make decisions on how to learn when they are facing with a
large amount of learning resources, especially when they have to balance available limited …

Modern educational systems have changed drastically bringing in knowledge anywhere as
needed by the learner with the evolution of Internet. Availability of knowledge in public …

The rapid development of e-learning systems provides learners with great opportunities to
access learning activities online, and this greatly supports and enhances the learning …

With the rapid growth of information technology, the current era is witnessing an exponential
increase in the generation and collection of web data. Projecting the right information to the …

Personalized recommendation in e-learning has attracted the interest of many researchers.
How to select the proper learning objects (LOs) and provide a suitable learning path for …

Discussion groups are one of the most important elements of collaborative learning which
utilize recommender systems to improve their performance in several aspects. This type of …

Online question pools like LeetCode provide hands-on exercises of skills and knowledge.
However, due to the large volume of questions and the intent of hiding the tested knowledge …

Online rating system plays a crucial role in collaborative filtering recommender systems
(CFRSs). However, CFRSs are highly vulnerable to “shilling” attacks in reality. How to …