Ontology-Based Modeling for a Personalized MOOC Recommender System

Author:

Assami SaraORCID,Daoudi NajimaORCID,Ajhoun RachidaORCID

Publisher

Springer International Publishing

Reference21 articles.

1. Assami, S., Daoudi, N., Ajhoun, R.: Personalization criteria for enhancing learner engagement in MOOC platforms. In: 2018 IEEE Global Engineering Education Conference (EDUCON), Santa Cruz de Tenerife, Spain, pp. 1271–1278. IEEE (2018)

2. Clerc, F., Lefevre, M., Guin, N., Marty, J.-C.: Mise en place de la personnalisation dans le cadre des MOOCs. In: 7ème Conférence sur les Environnements Informatiques pour l’Apprentissage Humain - EIAH 2015, Agadir, Morocco (2015)

3. Gutiérrez-Rojas, I., Alario-Hoyos, C., Pérez-Sanagustín, M., Leony, D., Delgado-Kloos, C.: Towards an Outcome-based discovery and filtering of MOOCs using moocrank. In: European MOOC Stakeholder Summit, pp. 50–57 (2014)

4. Sonwalkar, N.: The first adaptive MOOC: a case study on pedagogy framework and scalable cloud architecture - Part I. In: MOOCs Forum, pp. 22–29 (2013)

5. Manouselis, N., Drachsler, H., Verbert, K., Duval, E.: Recommender Systems for Learning: An introduction. Springer, New York (2012)

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