The use of adaptive learning ontologies: A view from a systematic mapping

Abstract

Adaptive learning is one of the current trends in the training of professionals since it manages to bring learning closer to the student. The application of ontologies in this area contributes to implement techno – pedagogical alternatives with a deep computational theory. To project research of educational innovations, it is important to determine what the main pairs of dependent variables (DV) and Independent (IV) have been studied in the last five years (2015-2019). In this decade, several theoretical studies have been published in Scopus, up until 2018 but not identified by each publication in the VD-VI relationship. Therefore, a systematic map was implemented using the PRISMA protocol. 289 scientific papers (ACM Digital Library (94), IEEE Xplorer (100) and Scopus (95)) were selected. When applying rigorous inclusion and exclusion criteria, 53 publications were chosen. It is observed that there are several results in this area of knowledge, even so, the application of hybrid methods that manage to integrate adaptive learning object recommendation systems with various recommendation techniques is still incipient. It is concluded that the pairs of variables that showed the highest absolute frequency were: DV: adaptive learning system – IV: ontology-based modelling; DV: skills assessment – IV: ontology-based modelling; DV: learning objects – IV: ontology-based modelling; DV: learning styles – IV: ontology-based modelling; DV: repositories of digital educational resources – IV: vector support machines; DV: classification and grouping of students – IV: ontology-based modelling.