Evaluation of Academic Performance Based on Learning Analytics and Ontology - a Systematic Mapping Study.

Educators face significant challenges related to monitoring academic performance and providing instruction in online courses. Due to spatial, temporal and interactive distance, this type of education requires that students have greater dedication, responsibility, and self-regulation of learning so that educational goals can be met. In this sense, educators seek instruments to consistently monitor and evaluate the student's academic performance. The present work aims at systematically mapping studies that use techniques of Learning Analytics and Computational Ontologies, allied to a Taxonomy of Educational Objectives, to monitor the student's state of knowledge. The evidence, methods, ontologies and taxonomies found will assist in the development of an educational software architecture that aims to assist educators in supervising academic performance. Three hundred and twenty studies were retrieved, of which we identified 21 (6.56%) works relevant to this research. This mapping shows that there is a research gap regarding the coordinated use of Learning Analytics and Ontologies in the field of learning assessment.