The Effect of Learning-Based Adaptivity on Students’ Performance in 3D-Virtual Learning Environments

Abstract

Research demonstrates that individualized instruction is superior to the traditional one-size-fits-all teaching approach. The use of 3D virtual environments for educational purposes is becoming attractive because of their rich presentation, user friendly interaction techniques, and adaptive capabilities. However, defining the adaptive aspect of 3D virtual learning environments (3D-VLEs) is a challenging task. In this paper, we quantitatively measure learning skill of a student through a fuzzy logic-based approach and use it as adaptation criterion for changing the contents of 3D-VLEs. The system displays customize teaching materials for different students, which results in improved learning. The experimental results show that the proposed approach is effective and can be efficiently used to enhance the learning capabilities of students in 3D-VLEs.

Keywords

• Virtual reality (VR) and education
• adaptive 3D-educational virtual environments
• learning skill
• fuzzy sets
• student learning evaluation