Recommender systems have become one of the main tools for personalized content filtering
in the educational domain. Those who support teaching and learning activities, particularly …

In recent years, education institutions have offered a wide range of course selections with
overlaps. This presents significant challenges to students in selecting successful courses …

Course recommendation systems are applied to help students with different needs select
courses in a large range of course resources. However, a student's needs are not always …

An affective state of a learner in E-learning has gained enormous interest. The prediction of
the emotional state of a learner can enhance the outcome of learning by including …

Collaborative Filtering (CF) has intrigued several researchers whose goal is to enhance
Recommender System's performance by mitigating their drawbacks. CF's common idea is to …

A significant amount of educational data mining (EDM) research consider students' past
performance or non-academic factors to build predictive models, paying less attention to …

Massive Open Online Courses (MOOCs) have received unprecedented attention, in which
learners can obtain a large number of learning objects anytime and anywhere. However, the …

The recent pandemic has changed the way we see education. During recent years, Massive
Open Online Course (MOOC) providers, such as Coursera or edX, are reporting millions of …

Huge amounts of educational data are being produced, and a common challenge that many
educational organizations confront, is finding an effective method to harness and analyze …

Learning analysis provides a new opportunity for the development of online education, and
has received extensive attention from scholars at home and abroad. How to use data and …