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

Recommender systems for technology-enhanced learning are examined in relation to
learners' agency, that is, their ability to define and pursue learning goals. These systems …

Due to the effects of the COVID-19 crisis on educational institutions, schools had to close
and switch to online education. Training in-service teachers to incorporate and utilize …

Academic advising is limited in its ability to assist students in identifying academic pathways.
Selecting a major and a university is a challenging process rife with anxiety. Students at high …

Adaptive learning systems aim to provide learning items tailored to the behavior and needs
of individual learners. However, one of the outstanding challenges in adaptive item selection …

To proactively fulfill multiple stakeholders' needs in the engineering solution design process,
the knowledge recommendation approach is adopted as a key element in the knowledge …

E-learning recommender systems are becoming more popular due to the massive learning
materials available online and the changing pedagogy. A content recommender system in …

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

Most of the available recommender systems focus on the accuracy of recommendations. As
a result, their recommendations are often popular and very close to user preferences, which …

In this study, we propose an integrated system to support learners' reviews. In the proposed
system, the review dashboard is used to recommend review contents that are adaptive to the …