Influence of Self-Regulated Strategy Development on the Performance of Virtual Reality-Based Teaching in Online Learning

Author:

Shen Huadong,Li Li

Abstract

Virtual reality technology has been fully integrated into the field of education. Such technology has become the focus of online learning that uses efficient and advanced virtual reality technology to improve the efficiency of learners. Online learning also gives full play to the characteristics of free learning time, flexible location, and free learning pace. Although online learning also easily leads to low efficiency due to physical isolation, it can effectively improve the performance of virtual reality-based teaching by using the self-regulated strategy development (SRSD) model. Based on this model, an experiment was conducted on online teaching course for first-year linguistics students of a provincial graduate school in China to test the influence of the model on the performance of virtual reality-based teaching in online learning. Results show that after the SRSD model, a significant difference is observed between pretest scores and post-test scores of graduate students in the experimental group (t=−4.925, p=0.000). A significant difference is observed between pretest self-regulation and post-test self-regulation of graduate students in the experimental group (t=−7.505, p=0.000). Finally, significant differences are observed between the experimental and control groups in the improvement of post-test scores and post-test self-regulation. Conclusions are of important reference value for enriching the application of the SRSD model in virtual reality-based teaching, improving the self-regulation ability of students, and improving the performance of learners by adopting a model more suitable for the characteristics of online teaching.

Publisher

International Association of Online Engineering (IAOE)

Subject

General Engineering,Education

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3