Enriched Semantic Recommender System For Education
In the current educational context, the quality of the follow-up of learners by an academic tutor has become essential for the supervision of the learner and the success of the latter’s study projects. Indeed, the academic tutor is a person associated with the institution in which the learner is registered. Today, with the development of digital tools, the monitoring of the student and the evaluation of the competences he/she has acquired are managed digitally, creating a huge accumulation of data that is often not exploited to facilitate the monitoring and evaluation of the student. In this paper, we propose a semantic recommendation system exploiting artificial intelligence technologies to provide academic tutors with approaches and solutions to advise their students. To do so, we will first discuss semantic recommender systems for education, the enrichment of data processing by artificial intelligence tools, and then discuss our proposed approach.
Author: Baba Mbaye
Published in: Ireland International Conference on Education (IICE-2023)
- Date of Conference: 11-13 April 2023
- DOI: 10.20533/IICE.2023.0017
- ISBN: 978-1-913572-51-8
- Conference Location: Dún Laoghaire, Ireland