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 …

Retention and dropout of higher education students is a subject that must be analysed
carefully. Learning analytics can be used to help prevent failure cases. The purpose of this …

Group formation is a complex task requiring computational support to succeed. In the
literature, there has been considerable effort in the development of algorithms for composing …

High levels of school dropout are a major burden on the educational and professional
development of a country's inhabitants. A country's prosperity depends, among other factors …

Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …

Recommender systems can offer a fertile ground in e-learning software, since they can
assist users by presenting them with learning material in which they can be more interested …

Higher education institutions increasingly rely on machine learning models. However, a
growing body of evidence shows that these algorithms may not serve underprivileged …

Course recommender systems play an increasingly pivotal role in the educational
landscape, driving personalization and informed decision-making for students. However …

Security is a sensitive area that concerns all authorities around the world due to the
emerging terrorism phenomenon. Contactless biometric technologies such as face …

As a result of technological advancements, the number of IoT devices and services is rapidly
increasing. Due to the increasing complexity of IoT devices and the various ways they can …