Open AccessEducación a distancia y aprendizaje personalizado adaptativo
Author(s) -
Agustín Gutiérrez-Tornés,
Alejandro Canales-Cruz,
Juana Inés Zambrano-Dávila
Publication year - 2019
Publication title -
revista de educación básica
Language(s) - English
Resource type - Journals
ISSN - 2523-2452
DOI - 10.35429/jbe.2019.10.3.8.14
Subject(s) - situated , task (project management) , process (computing) , computer science , point (geometry) , relation (database) , subject (documents) , field (mathematics) , work (physics) , emerging technologies , world wide web , artificial intelligence , mathematics , engineering , mechanical engineering , geometry , systems engineering , pure mathematics , operating system , database
The present work is situated in the field of virtual distance education and more specifically in one of the technologies, whose use has increased exponentially. They are the recommendation systems, which are now used in education as a complementary support in the platforms designed to provide learning resources in a more personalized way. The way in which students perceive, codify, remember, understand and solve problems is different between each one. This task has proved a real challenge, both logistic and theoretical, and the arrival of new information technologies is emerging as the most promising option to project and carry it out. The investigations that have been carried out specifically in the subject show a very marked methodological problem. The way in which its effect has been evaluated, especially in relation to the learning process, has not been from any point of view, rigorous or exhaustive. In general, they only resort to obtaining opinions from students about how they perceive that the use of such systems benefited this process. It seems important to know in greater depth and precision the way in which learning is enhanced with this specific form of technology.