Research on the application of American college classroom experience evaluation system based on computer virtual reality technology

Chen Lei, Xiao Kuai
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Abstract

With the continuous development of computer virtual reality technology, in recent years, Chinese foreign students can learn more knowledge and multi-dimensional and multi-stage online open courses in the process of classroom experience in American universities. The traditional video playing system has been unable to meet the process of new college classroom learning. With the progress of computer virtual reality technology, Many college classroom learning processes can be reconstructed using computer modeling technology, so as to mine the student behavior data available in the teaching management system, and extract the key factors affecting students' academic performance. This computer system uses the method of machine learning virtual reality to analyze the meaning and predict the final score of students' courses. The experimental simulation shows that the system realizes the substantial equivalence of online and offline teaching, and promotes the good development of online teaching.
基于计算机虚拟现实技术的美国高校课堂体验评价系统应用研究
随着计算机虚拟现实技术的不断发展,近年来中国留学生在美国大学的课堂体验过程中,可以学到更多的知识和多维度、多阶段的在线公开课程。传统的视频播放系统已经不能满足新的大学课堂学习的进程。随着计算机虚拟现实技术的进步,许多高校课堂学习过程可以利用计算机建模技术进行重构,从而挖掘教学管理系统中可用的学生行为数据,提取影响学生学习成绩的关键因素。本计算机系统采用机器学习虚拟现实的方法对学生的课程进行意义分析和最终成绩预测。实验仿真表明,该系统实现了在线教学与离线教学的实质等价,促进了在线教学的良好发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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