A Semantic Recommendation System for Learning Personalization in Massive Open Online Courses

Authors

  • Sara Assami National Superior School of Computer Science and Systems Analysis (ENSIAS), Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal, Rabat, Morocco.
  • Najima Daoudi School of Information Sciences, Avenue Ibn sina B.P. 765 Agdal, Rabat, Morocco.
  • Rachida Ajhoun National Superior School of Computer Science and Systems Analysis (ENSIAS), Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal, Rabat, Morocco.

DOI:

https://doi.org/10.3991/ijes.v8i1.14229

Keywords:

Distance learning, Massive Open Online Course, recommendation system, Knowledge-based recommendation

Abstract


For an innovation producing education, MOOC (Massive Open Online Course) platforms offer a plethora of learning resources and pedagogical activities to support the university’s 4.0 new era and the lifelong learning movement. Nevertheless, the rapid advances in learning technologies imply the need for personalized guidance for learners and adapted learning materials. In this paper we seek to enhance the MOOC learner experience by providing a semantic recommender system for the diversity and abundance of MOOCs available for learners. Firstly, the paper analyses the state of the art of the semantic recommendation approach in a distance learning context. Then it describes the proposed MOOC recommendation system that uses the ontological representation of the learner model and MOOCs content to make its intelligent suggestions. Finally, we explore the development phases of the semantic MOOC recommendation system to define the implications for the progress of our research.

Author Biographies

Sara Assami, National Superior School of Computer Science and Systems Analysis (ENSIAS), Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal, Rabat, Morocco.

Sara Assami received her master’s degree in information sciences from the Information Sciences School (ESI) and is currently a PhD student at the Smart Systems Laboratory from the National Superior School of Computer Science and Systems Analysis (ENSIAS), Mohammed Vth University, Rabat , Morocco

Najima Daoudi, School of Information Sciences, Avenue Ibn sina B.P. 765 Agdal, Rabat, Morocco.

Najima Daoudi is a Professor at the School of Information Sciences, Avenue Ibn sina B.P. 765 Agdal, Rabat, Morocco. She is an Engineer of the National Institute of Statistics and Applied Economics and has a PhD in Computer Science from ENSIAS.

Rachida Ajhoun, National Superior School of Computer Science and Systems Analysis (ENSIAS), Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal, Rabat, Morocco.

Rachida Ajhoun is a Professor of Higher Education at the Mohammed V University of Rabat, specifically at the ENSIAS, Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal, Rabat, Morocco. She has a PhD degree in Computer Science and E-learning from the Mohammadia School of Engineers, Morocco.

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Published

2020-03-31

How to Cite

Assami, S., Daoudi, N., & Ajhoun, R. (2020). A Semantic Recommendation System for Learning Personalization in Massive Open Online Courses. International Journal of Recent Contributions from Engineering, Science & IT (iJES), 8(1), pp. 71–80. https://doi.org/10.3991/ijes.v8i1.14229

Issue

Section

Papers