Abstract Proceedings of IESMDT - 2021
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EVALUATION OF ACADEMIC PERFORMANCE
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.
Monitoring academic performance, academic performance
17/09/2021
231
IESMDT229
IMPORTANT DAYS
Paper Submission Last Date
October 20th, 2024
Notification of Acceptance
November 7th, 2024
Camera Ready Paper Submission & Author's Registration
November 1st, 2024
Date of Conference
November 15th, 2024
Publication
January 30th, 2025