An immersive learning model using evolutionary learning

作者：Bhattacharjee Deblina; Paul Anand^*; Kim Jeong Hong; Karthigaikumar P

来源：Computers & Electrical Engineering, 2018, 65: 236-249.

DOI：10.1016/j.compeleceng.2017.08.023

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

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.

• 出版日期2018-1