The rapid expansion of Learning Analytics (LA) and Artificial Intelligence in Education
(AIED) offers new scalable, data-intensive systems but raises concerns about data privacy …

As education constitutes an essential development standard for individuals and societies,
researchers have been exploring the use of artificial intelligence (AI) in this domain and …

[EN] The aim of this work is to register and analyse, using neurotechnology, in onsite onsite
and online university educational context, the effect on relevant variables in the learning …

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

Recommender systems can provide personalized advice on learning for individual students.
Providing explanations of those recommendations are expected to increase the …

This study aims to provide an overview regarding the use of recommender systems in
education through a systematic review and a bibliometric analysis. The Preferred Reporting …

Abstract Recommendation (recommender) systems (RS) have played a significant role in
both research and industry in recent years. In the area of academia, there is a need to help …

This paper presents a comprehensive literature review of the research and application of
machine learning (ML) algorithms in recommender systems (RS). The study aims to identify …

Este trabajo tiene como objetivo registrar y analizar, mediante el uso de neurotecnología, en
un contexto formativo universitario presencial y online, el efecto que tiene en variables …

Developing engaging learning experiences is costly and complicated. Open Educational
Resources (OERs) offer the possibility of reuse, creating opportunities for more efficient and …