Educational Recommender Systems, a Systematic Literature Review (74369)

Session Information: Design, Implementation & Assessment of Innovative Technologies in Education
Session Chair: Norma Flores González

Friday, 22 September 2023 14:55
Session: Session 3
Room: Gotic
Presentation Type:Oral Presentation

All presentation times are UTC + 2 (Europe/Madrid)

Recommender systems were implemented as a solution to reduce the time and effort required by a user to search for information. In their development, artificial intelligence algorithms and several recommendation approaches have been used, however, these systems in the educational context have a different connotation since their objective is focused on improving educational quality. In this scientific work we seek to determine what kind of recommender systems have been developed so far to contribute to the educational quality of different educational centers worldwide? To answer this question, the Cochrane methodology was used for the systematic review of educational recommender systems.
As a result, the recommendation systems implemented within the educational context increase the results of several indicators of educational quality, among which are the students' graduation rate and the students' academic performance.
Educational recommendation systems are those information systems that have been developed with the purpose of being used in any educational institution or organization to recommend to the different actors of the educational system: students, teachers, researchers or others, educational products such as: programs, subjects, exercises, educational resources, etc. that contribute to improve the quality of education.

Authors:
Margarita Aucancela, Universidad de Salamanca, Spain
Alfonso Briones, Universidad de Salamanca, Spain
Pablo Chamoso, Universidad de Salamanca, Spain


About the Presenter(s)
Professor Margarita Aucancela is a University Postgraduate Student at Universidad de Salamanca in Spain

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00