An immersive learning model using evolutionary learning

Deblina Bhattacharjee, Anand Paul, Jeong Hong Kim, P. Karthigaikumar

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

In this article, we have proposed an educational model using virtual reality on a mobile platform by personalizing the simulated environments as per user actions. We have also proposed an evolutionary learning algorithm based on which the user learning path is designed and the corresponding simulated learning environment is modified. The main objective of this study is to create a personalized learning path for each student as per their calibre and make the learning immersive and retainable using virtual reality. Our proposed model emulates the innate natural learning process in humans and uses that to customize the virtual simulations of the lessons by applying the evolutionary learning technique. A quasi-experimental study is conducted by taking different case studies to establish the effectiveness of our learning model. The results show that our learning model is immersive and gives long term retention while enhancing creativity through reinforced customization of the simulations.

Original languageEnglish
Pages (from-to)236-249
Number of pages14
JournalComputers and Electrical Engineering
Volume65
DOIs
StatePublished - Jan 2018

Keywords

  • Education
  • Evolutionary learning
  • Immersive learning
  • Immersive virtual reality
  • m-learning
  • Personalized learning
  • Reinforcement learning

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