课堂管理
虚拟现实
计算机科学
班级(哲学)
应对(心理学)
培训(气象学)
教学方法
多媒体
心理学
数学教育
人机交互
人工智能
物理
气象学
精神科
作者
Xindong Ye,Pengfei Liu,Xiao-Zhi Lee,Yi‐Quan Zhang,Chuang-Kai Chiu
标识
DOI:10.1080/10494820.2019.1579235
摘要
Training teachers to manage their instruction and the class is known to be important and challenging. In traditional teacher training programmes, micro-teaching is frequently adopted; however, its effectiveness could be limited if the learners do not have good opportunities to immerse themselves in and interact in the learning contexts. Virtual Reality (VR) technology could be a good approach to coping with this problem. Nevertheless, the development cost of a VR scene is high from the perspectives of time and money. Hence, a spherical view VR-based training system of classroom misbehaviour management (TrainCM2) is proposed in this study. TrainCM2 can situate learners in a real situation at a low cost. To verify the effectiveness of TrainCM2, an experiment was conducted. The experimental results showed that the TrainCM2 learners outperformed the micro-teaching learners in terms of misbehaviour detection rate and processing performance, showing the benefits of the proposed approach.
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