An Analysis of Factors Influencing the Intention of Chinese University Students to Use Mobile Learning Based on Technology Acceptance Mode

2020 ◽  
Vol 24 (2) ◽  
pp. 3-30
Author(s):  
Seong-Hwan Yoon
Keyword(s):  
University Students ◽  
Technology Acceptance ◽  
Mobile Learning ◽  
Chinese University ◽  
Factors Influencing ◽  
Chinese University Students

Analysis on Mobile Learning by Using Smart Phones among Chinese University Students

2014 ◽  
Vol 519-520 ◽  
pp. 1667-1670
Author(s):  
Huan Cao ◽  
Zhao Hui Guo
Keyword(s):  
University Students ◽  
Mobile Learning ◽  
The State ◽  
Smart Phones ◽  
Chinese University ◽  
Android System ◽  
Chinese University Students ◽  
Level Of Understanding ◽  
Learning By Using

Mobile learning based on smart phones has become a hot topic in research.In this paper, questionnaires and interviews were applied to survey the state of Chinese university students' mobile learning by using smart phones, and 360 students from 5 universities in Wuhan were chose as samples.The research discovers that the students' level of understanding about mobile learning is still low.Even though most of them possess smart phones with Android system, they seldom use smart phones to learn their major in after-class time.To improve the performance of mobile learning by using smart phones,the R&D of smart phones should be strengthened, more abundant learning APP should be developed and the coverage of wifi should be widened.

scholarly journals Measurement Invariance of the Drivers of COVID-19 Vaccination Acceptance Scale: Comparison between Taiwanese and Mainland Chinese-Speaking Populations

Vaccines ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 297
Author(s):  
Ya-Chin Yeh ◽  
I-Hua Chen ◽  
Daniel K. Ahorsu ◽  
Nai-Ying Ko ◽  
Kuan-Lin Chen ◽  
...  
Keyword(s):  
University Students ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Online Survey ◽  
Mainland Chinese ◽  
Chinese University ◽  
Vaccination Acceptance ◽  
Health Related ◽  
Acceptance Scale ◽  
Chinese University Students

The impacts of novel coronavirus disease-2019 (COVID-19) on human life continue to be serious. To control the spread of COVID-19, the production of effective vaccines is likely to be one of the best solutions. However, vaccination hesitancy may decrease individuals’ willingness to get vaccinated. The Drivers of COVID-19 Vaccination Acceptance Scale (DrVac-COVID19S) was recently developed to help healthcare professionals and researchers better understand vaccination acceptance. The present study examined whether DrVac-COVID19S is measurement invariant across different subgroups (Taiwanese vs. mainland Chinese university students; males vs. females; and health-related program majors vs. non-health-related program majors). Taiwanese (n = 761; mean age = 25.51 years; standard deviation (SD) = 6.42; 63.5% females) and mainland Chinese university students (n = 3145; mean age = 20.72 years; SD = 2.06; 50.2% females) were recruited using an online survey between 5 January and 21 February 2021. Factor structure and measurement invariance of the two DrVac-COVID19S scales (nine-item and 12-item) were tested using confirmatory factor analysis (CFA). The findings indicated that the DrVac-COVID19S had a four-factor structure and was measurement invariant across the subgroups. The DrVac-COVID19S’s four-factor structure was supported by the CFA results is a practical and valid instrument to quickly capture university students’ willingness to get COVID-19 vaccination. Moreover, the DrVac-COVID19S can be used to compare university students’ underlying reasons to get COVID-19 vaccination among different subgroups.

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