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How to Promote Online Education through Educational Software—An Analytical Study of Factor Analysis and Structural Equation Modeling with Chinese Users as an Example

Authors :
Zheng Wang
Qianling Jiang
Zichao Li
Source :
Systems, Vol 10, Iss 4, p 100 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Online learning has emerged as a fresh method to successfully prevent teacher and student gatherings as well as the propagation of viruses in the context of the ongoing influence of the COVID-19. A problem deserving of consideration is how to increase users’ desire to participate in online learning through online class APPs, identify the variables that affect users’ use of them, and create a useful assessment scale. In this study, user ratings from 68 students who had used an online class APP were collected using the combination of qualitative and quantitative research, and 200 online questionnaires were sent out to complement the interview findings, based on which 328 assessment questionnaires were gathered and 23 valid items were obtained. The influencing elements that had an impact on users’ online learning experiences were identified using factor analysis, and the relationships among the components were investigated using structural equation modeling. Perceived benefits are the main influencing factors, subjective norms and functional quality are the direct factors influencing users’ perceived benefits, and self-efficacy is influenced by subjective norms while promoting the perception of functional quality. The factors influencing users’ use of online class APPs are ultimately identified as perceived benefits, functional quality and self-efficacy. In order to facilitate users’ online learning, user psychological traits, social ties and software functions should be integrated into a cohesive system while designing online class APPs.

Details

Language :
English
ISSN :
20798954
Volume :
10
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.62f427089bea4305bc51dd5e03d9efd8
Document Type :
article
Full Text :
https://doi.org/10.3390/systems10040100