Recommendation systems have emerged as a response to overload in terms of increased
amounts of information online, which has become a problem for users regarding the time …

Several researchers study recommendation systems to assist users in the retrieval of
relevant goods and services, mostly used in e-commerce. However, there is limited …

Dyslexia is the most widespread specific learning disorder and significantly impair different
cognitive domains. This, in turn, negatively affects dyslexic students during their learning …

Recommender systems (RSs) are increasingly recognized as intelligent software for
predicting users' opinions on specific items. Various RSs have been developed in different …

Context: Competences represent an interesting pedagogical support in many processes like
diagnosis or recommendation. From these, it is possible to infer information about the …

Academic advising is inhibited at most of the high schools to help students identify
appropriate academic pathways. The choice of a career domain is significantly influenced by …

Competence-based learning is increasingly widespread in many institutions since it
provides flexibility, facilitates the self-learning and brings the academic and professional …

The recent development of the World Wide Web, information, and communications
technology have transformed the world and moved us into the data era resulting in an …

Recommender Systems aim to provide users with search results close to their needs,
making predictions of their preferences. In virtual learning environments, Educational …

The massive presence of online learning resources leads many students to have more
information than they can consume efficiently. Therefore, students do not always find …