doi: 10.18178/ijiet.2024.14.3.2058
Educational Video Recommender System
Mohamed Timmi1,*
,
Loubna Laaouina2 ,
Adil Jeghal2 ,
Said El Garouani3 ,
Ali Yahyaouy3
- 1Faculty of Sciences Dhar El Mehraz, Sidi Mohamed Ben Abdellah University, Morocco
- 2LISA Laboratory, National School of Applied Science Sidi Mohamed Ben Abdellah University Fez, Morocco
- 3LISAC Laboratory, Faculty of Sciences Dhar El Mehraz Sidi Mohamed Ben Abdellah University Fez, Morocco
- Manuscript receivedAugust 6, 2023
- revisedAugust 30, 2023
- acceptedSeptember 20, 2023
- publishedMarch 4, 2024
Abstract
In recent years, informal education has witnessed a significant upsurge, fueled by technological advancements and the ubiquitous availability of online educational content. Internet users, including students, researchers, and teachers, are increasingly seeking supplementary educational resources across diverse online repositories to augment their knowledge. Within this landscape, recommendation systems emerge as indispensable tools, aiding users in the discovery of pertinent resources aligned with their academic interests. This article proposes a novel recommendation methodology leveraging a hybrid approach, incorporating both Content-Based Filtering (CBF) and Collaborative Filtering (CF) algorithms. By harnessing information from a myriad of data repositories, this system excels in identifying and presenting the most relevant and desirable educational resources, with a particular focus on meeting the needs of students. This holistic approach embraces user profiles, contextual information, and supplementary data, underscoring its potential to revolutionize informal education in the digital age.
Keywords
- recommendation systems
- hybrid filtering
- e-learning
- informal education
How to Cite
Mohamed Timmi, Loubna Laaouina, Adil Jeghal, Said El Garouani, and Ali Yahyaouy, "Educational Video Recommender System," International Journal of Information and Education Technology, vol. 14, no. 3, pp. 362-371, 2024. https://doi.org/10.18178/ijiet.2024.14.3.2058
Copyright & License
Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).