This paper reviews the literature on integrating AI in e-learning, from the viewpoint of
cognitive neuropsychology, for Personalized Learning (PL) and Adaptive Assessment (AA) …

Los avances tecnológicos de las últimas décadas y su creciente accesibilidad, suponen
para los docentes un reto permanente. El presente trabajo se basa en nuestra propia …

E-learning is a popular area in terms of learning from social media websites in various terms
and contents for every group of people in this world with different knowledge backgrounds …

The Internet and cloud computing technology have enabled learners to choose courses
based on their interests through e-learning systems. E-learning systems such as Massive …

Las dificultades experimentadas por los estudiantes en el uso de los Learning Management
System (LMS) pueden generar, entre otros, problemas de adaptación a la metodología …

E-learning is one of the favorite jobs where all the learners can learn through different online
sites to update their knowledge acquisition. Though online learning supports several …

This paper reviews the first block of our unsupervised deep collaborative recommendation
(UDCF) system and proposes a platform whose goal is to try to find the adequate …

The objective of this work is the creation of a resource recommendation ap-plication in
Python integrated into the code of the virtual edX platform, which appears as an additional …

The rapid increase of online educational content has made it harder for students to find
specific information. E-learning recommender systems help students easily find the learning …

The use of digital media in education has already been addressed in numerous technology
acceptance models, but there is very little research on establishing a link between …