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Personalized Mobile Learning and Course Recommendation System

Author

Listed:
  • Madhubala Radhakrishnan

    (Department of Computer Science, Vels Institute of Science, Technology and Advanced Studies (VISTAS), India)

  • A. Akila

    (Department of Computer Science, Vels Institute of Science, Technology and Advanced Studies (VISTAS), India)

Abstract

Mobile-based learning provides new experience to the learners to learn anything from anywhere and anytime by using their portable or mobile device. Vast educational contents and also different media formats can be supported by the mobile devices. Access speed of those materials has also improved a lot. With this advancement, providing required content or materials in the desired format to the learner is essential to the learning management system. Also, it is very important to guide the learner based on their interest in learning. With this outset, the proposed mobile learning system helps the learners to access different courses under different levels and different specializations. The course contents are in different formats called learning objects (LO). In order to provide personalized learning experience to the learner, the system finds the learner's preferences and selects the desired learning objects. It also recommends some specializations with level to the learners to achieve higher grades.

Suggested Citation

  • Madhubala Radhakrishnan & A. Akila, 2021. "Personalized Mobile Learning and Course Recommendation System," International Journal of Mobile and Blended Learning (IJMBL), IGI Global, vol. 13(1), pages 38-48, January.
    • Handle: RePEc:igg:jmbl00:v:13:y:2021:i:1:p:38-48
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJMBL.2021010103
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    Cited by:

    1. Sheng Jia Song & Kim Hua Tan & Mohd Mahzan Awang, 2021. "Generic Digital Equity Model in Education: Mobile-Assisted Personalized Learning (MAPL) through e-Modules," Sustainability, MDPI, vol. 13(19), pages 1-21, October.

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