In e-learning recommender systems, interpersonal information between learners is very
scarce, which makes it difficult to apply collaborative filtering (CF) techniques to achieve …

In e-learning, most content-based (CB) recommender systems provide recommendations
depending on matching rules between learners and learning objects (LOs). Such learner …

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 …

Estimating the flow state of students in a course allows evaluating their sentimental state and
the challenges they are facing. In e-learning platforms, the evaluation of flow state is a …

With high-tech advancements, intelligent, sustainable development has become widespread
in daily life. However, due to developmental differences among various regions, continuity in …

Purpose–The purpose of this research is to investigate student engagement in guided web‐
based learning systems. It looks into students' engagement and their behavioral patterns in …

With the flourishing development of online education, the problem of information overload in
learning resources is becoming increasingly prominent. This study proposes a learning …

Computer applications in education are now common to complement a classroom teaching
and learning activity. However, a reportedly obscure area in the computer-based instruction …

This paper reports a study concerning linear and non-linear navigations in WBI. The effects
of the two navigations on students' engagement aspects namely; control, focus, curiosity …

The impact of the learner flow experience (LFE) on learning outcomes has been studied for
over four decades in a variety of formal and informal instructional settings, including the …