A Study of Factors Influencing the Use of the DingTalk Online Lecture Platform in the Context of the COVID-19 Pandemic

• Main Authors: Guo, Y. (Author), Pang, J. (Author), Zhang, F. (Author), Zhang, H. (Author), Zhu, Y. (Author)
• Format: Article
• Language: English
• Published: MDPI 2023
• Subjects: COVID-19 pandemic; DingTalk platform; online lectures; structural equation modeling; technology impact
• Online Access: View Fulltext in Publisher; View in Scopus

 Online classes quickly became a hot topic in education during the effort to prevent and manage the COVID-19 outbreak. This paper is of great value in analyzing the factors influencing online delivery from a socially acceptable perspective, using the online DingTalk platform course as the research target. The researchers of this paper used a questionnaire to establish the conceptual basis of the survey based on the technology acceptance model (TAM), and developed the corresponding survey questions. The questionnaire was distributed to 528 respondents, of which 495 were valid data samples; furthermore, the sample efficiency of the returned questionnaire was 93.75%. The data were analyzed by SPSSAU software for reliability (Cronbach alpha: 0.967). For the purposes of assessing validity, ANOVA was used, and the SEM structural ANOVA was utilized in order to understand the impact of using the DingTalk platform for online classroom teaching, as well as to study user satisfaction with its use and to make relevant suggestions for continuing to use the online platform for classes in terms of campus management for online/offline hybrid teaching. © 2023 by the authors.