Artificial intelligence (AI) technologies are used in many dimensions of our lives, including
education. Motivated by the increasing use of AI technologies and the current state of the art …

Efforts at the intersection of technology and pedagogy converge upon four pivotal axes that
collectively delineate the future educational landscape. These axes, namely mobility …

The pandemic has catalyzed a significant shift to online/blended teaching and learning
where teachers apply emerging technologies to enhance their students' learning outcomes …

A personalized e-learning system is effective in imparting enhanced learning to its users. As
compared to a conventional e-learning system, which provides similar contents to each …

Recommender systems (RSs) have become an inseparable part of our everyday lives. They
help us find our favorite items to purchase, our friends on social networks, and our favorite …

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 personalized learning, each student gets a customized learning plan according to their
pace of learning, instructional preferences, learning objects, etc. Hence the content …

Ontology and knowledge-based systems typically provide e-learning recommender systems.
However, ontology use in such systems is not well studied in systematic detail. Therefore …

Recommender systems in e-learning domain play an important role in assisting the learners
to find useful and relevant learning materials that meet their learning needs. Personalized …

In recent years there has been an enormous increase in learning resources available online
through massive open online courses and learning management systems. In this context …