Influences of Digital Twin Technology on Learning Effect

被引：3

作者：

Zhang Y. ^{[1
]}

Pang L. ^{[1
]}

Wang D. ^{[1
]}

Liu S. ^{[2
]}

机构：

[1] College of Chemistry and Pharmaceutical Engieering, Huanghuai University, Zhumadian

[2] Department of Mathematics, University of Miami, Coral Gables, 33124-4250, FL

来源：

Journal of Engineering Science and Technology Review | 2022年 / 15卷 / 04期

关键词：

Digital twin technology; Learning effect; Regression analysis; Reliability; Ubiquitous learning; Validity;

D O I：

10.25103/jestr.154.20

中图分类号：

学科分类号：

摘要：

This study designed a questionnaire to investigate the influences of digital twin (DT) technology on ubiquitous learning effect based on the relevant theory. The influences of four subsystems (virtual-reality symbiotic system, information transmission system, intelligent control system and teaching support system) of DT technology on ubiquitous learning effect were analyzed. Results demonstrate that the overall Cronbach α of the designed questionnaire is 0.850, KMO is 0.785, and the corresponding P-value is 0.000, indicating the good reliability and validity of the questionnaire. All four subsystems (information transmission system > teaching support system > intelligent control system > virtual-reality symbiotic system) of DT technology have significantly positive influences on the ubiquitous learning effect. The obtained conclusions have important references to construct personalized DT learning space, facilitate construction of digital campus, accelerate deep integration of intelligent technologies into education reform, and promote personalized learning of learners. © 2022 School of Science, IHU. All rights reserved.

引用

页码：140 / 145

页数：5

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