Discovering university students’ behaviour to promote distance learning on the DingTalk telecommunication platform during the Covid-19 pandemic
Bibliographic Data
| ID | 21485158 |
|---|---|
| Authors | Lifu Li (0000-0001-7370-2423, City University of Macau, corresponding author), Kyeong Kang (0000-0003-4252-9802, University of Technology Sydney), Maher Aseeri (0000-0001-9077-3987, University of Technology Sydney) |
| Year | 2026 |
| Volume | 46 |
| Issue | 3 |
| Pages | 553-569 |
| Publication date | 2026-05-27 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Asia Pacific Journal of Education (JOURNAL) |
| Journal identifiers | ISSN: 0218-8791 • E-ISSN: 1742-6855 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/02188791.2024.2371115 |
| OpenAlex | W4400128428 |
| Language | EN |
| References cited | 42 |
This research is based on university students’ experience of using DingTalk in distance learning during the COVID-19 pandemic. Although the distance learning mode on the telecommunication platform provides university students with comprehensive functions, they have limited motivation to accept it and even express dissatisfaction with this new learning model. To narrow the research gap, this study establishes a research model based on the COM-B Behaviour Changing theory and the Hofstede cultural theory, and it analyses influencing factors from Environmental opportunity, Personal capability, and Cultural control aspects. Applying the variance-based structural equation modelling and partial least squares path modelling (PLS-SEM), 358 valid questionnaires have been analysed through the SmartPLS. All hypotheses can be supported, such as the relationship between official department support and students’ distance learning motivation, the connection between privacy security awareness and students’ motivation, and the relationship between power distance and students’ motivation. The research findings will be helpful in enhancing the distance learning system, and more and more students will have an opportunity to accept a high-quality distance education during and after the COVID-19 pandemic
2019-20 coronavirus outbreak · Distance education · Mathematics education · Pandemic · Sociology · Telecommunications · Computer Science · Impact of Technology on Adolescents · Medicine · Psychology · Technology Adoption and User Behaviour · Virology
PLS-Sem
When to use and how to report the results of PLS-SEM
Common Method Bias in PLS-SEM
The behaviour change wheel
Coping With Stress and Burnout Associated With Telecommunication and Online Learning
Negative parenting styles and social adjustment of university students
Development and Implementation of Societal Influences Survey Questionnaire (Sisq) for Peoples during Covid-19 Pandemic
Social Media Tools for the Development of Pre-Service Health Sciences Researchers during Covid-19 in Pakistan
Influencing Factors of Public Satisfaction with Covid-19 Prevention Services Based on Structural Equation Modeling (SEM)
Chinese Fathers in the Twentieth Century
Dimensionalizing Cultures
| Highly cited | No |
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