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Reinforcement Learning for New Adaptive Gamified LMS

  • Eya ChtoukaEmail author
  • Wided GuezguezEmail author
  • Nahla Ben AmorEmail author
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 358)

Abstract

Due to the numerous advantages of the Learning Management System (LMS), such as the facility to distribute and update the course, their use has become popular not only in the education field but also in business training. In order to improve the efficiency of online courses, previous works adapted LMS to learners preferences based on their learning styles. In the other hand, Game elements had been added to LMS to increase students motivation in achieving a learning goal. In this paper, we are interested in adapting GLMS to student profiles using Q-learning algorithm to attribute an adapted gamified learning path to the user. Our work allows to deal with the users profile as a learner and player at the same time.

Keywords

Reinforcement learning Q-learning Learning styles Gamification Player types Adaptive gamified learning management system 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Université de Tunis, Institut Supérieur de Gestion de Tunis, LARODECLe BardoTunisia

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