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Academic Journal of Computing & Information Science, 2024, 7(7); doi: 10.25236/AJCIS.2024.070712.

Design and implementation of a personalized course recommendation system for MOOCs based on deep learning

Author(s)

Bifeng Li1,2, Lilibeth Cuison1

Corresponding Author:
Lilibeth Cuison
Affiliation(s)

1Graduate School, Angeles University Foundation, Angeles City, 2009, Philippines

2College of Computer, Huanggang Normal University, Huanggang, Hubei Province, 438000, China

Abstract

In today's information age, personalized education has become one of the research hotspots in the field of education. The deep learning-based MOOC personalized course recommendation system analyzes learners' historical behavioral data and personalized needs to provide tailored course recommendations, aiming to enhance learning effectiveness and satisfaction. This paper aims to design and implement a deep learning-based MOOC personalized course recommendation system, and explore its application prospects in the field of education.

Keywords

deep learning; MOOCs; personalized recommendation; educational technology

Cite This Paper

Bifeng Li, Lilibeth Cuison. Design and implementation of a personalized course recommendation system for MOOCs based on deep learning. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 7: 90-97. https://doi.org/10.25236/AJCIS.2024.070712.

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