A course-based and formal structured mentoring programme with Chinese university students

Author(s):  
Joseph Wu ◽  
Wing Hong Chui
Vaccines ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 297
Author(s):  
Ya-Chin Yeh ◽  
I-Hua Chen ◽  
Daniel K. Ahorsu ◽  
Nai-Ying Ko ◽  
Kuan-Lin Chen ◽  
...  

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.


2014 ◽  
Vol 519-520 ◽  
pp. 1667-1670
Author(s):  
Huan Cao ◽  
Zhao Hui Guo

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.


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