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 …

Today, most of the large-scale conversational AI agents such as Alexa, Siri, or Google
Assistant are built using manually annotated data to train the different components of the …

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 …

Recommender Systems are an ongoing research that is applied in various domains. Course
recommendation is considered a challenged domain that has not been explored thoroughly …

Course selection is a crucial and challenging problem that students have to face while
navigating through an undergraduate degree program. The decisions they make shape their …

As education has evolved towards online learning, the availability of learning materials has
expanded and consequently, learners' behavior in choosing resources has changed. The …

Recommender systems have gained significant attention as powerful tools for supporting
decision-making processes in various domains. However, the understanding of their impact …

This paper describes a multiple criteria approach based on a hybrid method of Collaborative
Filtering (CF) and ContentBased Filtering (CBF) for discovering the most relevant criteria …

Course recommendation aims at finding proper and attractive courses from massive
candidates for students based on their needs, and it plays a significant role in the curricula …

In recent decades, a variety of educational management information systems have been
presented due to the increase in social requirement globally. Meanwhile, the students in the …