Modeling a Domain Ontology focused on Competencies for Recommendation Systems in Education
DOI:
https://doi.org/10.5753/rbie.2020.28.0.644Keywords:
Ontologies, Competencies, Educational Recommender SystemsAbstract
This article reports the result of a study that integrates Recommendation Systems (RSs) - which have had their use expanded due to the amount of content available on the web; ontologies - given their contribution in supporting the learning of concepts of a domain; and competences in the education field - which also assume importance as a formative perspective. The motivation of this work is justified by the embarrassments normally faced by teachers and students when using Educational Recommender Systems (ERSs) based on competencies. These users sometimes have difficulty in understanding the concept of competencies and its connection with teaching activities and educational resources of the recommendation system. The objective, therefore, is to present the modeling, implementation, and verification of a domain ontology focused on competencies for use in Educational Recommender Systems (ERSs). As a method, the modeling steps are described, as well as the implementation with the software Protégé and the owl language, and the evaluation process. The software allowed its evaluation concerning suitable axioms definition and required use in its inference system. The adopted and modified 101 methodologies and the modeled ontology structure were discussed with students of a postgraduate course in computer science in education. As a result, the relevance of using the proposed ontology in educational recommendation systems was verified. Thus, it is intended to make it available to the academic community and to support teachers and students in the use of ERSs based on competencies.
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Copyright (c) 2020 Augusto Simon, Patricia Alejandra Behar, Cristina Alba Wildt Torrezzan, Bruna Kin Slodkowski, Sílvio César Cazella, Daisy Schneider
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