scholarly journals Chinese University Students’ L2 Writing Feedback Orientation and Self-Regulated Learning Writing Strategies in Online Teaching During COVID-19

Author(s):  
Jian Xu
2021 ◽  
Vol 11 (9) ◽  
pp. 554
Author(s):  
Fan Li ◽  
Si Fan ◽  
Yanjun Wang ◽  
Jinjin Lu

The outbreak of COVID-19 worldwide in 2020 has posed tremendous challenges to higher education globally. Teaching English as a foreign language (TEFL) is among the many areas affected by the pandemic. The unexpected transition to online teaching has increased challenges for improving and/or retaining students’ language proficiency. WeChat, a popular social application in China, was widely used for TEFL at Chinese universities before COVID-19. However, it remains unclear whether the use of WeChat can facilitate Chinese university students’ English-language lexical proficiency during the pandemic. To fill this gap, the aim of the present study was two-fold: (1) it initially explored the relationship between the variables including students’ academic years, genders, and academic faculties/disciplines, and their lexical proficiency; and (2) it evaluated the effectiveness of a WeChat-assisted lexical learning (WALL) program in facilitating learning outcomes of English-language vocabulary. One hundred and thirty-three students at a university in Northern China participated in the WALL program for three weeks. As the results indicated, the independent variables had no correlation with the students’ lexical proficiency. More importantly, the students had a decline in the test scores after using the program, compared to their initial test scores. Moreover, the difference was reported to be medium. The findings further proposed questions on applying WeChat to vocabulary teaching in a large-scaled transition. The study is expected to provide insights for tertiary institutions, language practitioners, and student stakeholders to troubleshoot the potential problems regarding implementing WeChat-based TEFL pedagogies.


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.


AERA Open ◽  
2021 ◽  
Vol 7 ◽  
pp. 233285842110031
Author(s):  
Julia Holzer ◽  
Marko Lüftenegger ◽  
Selma Korlat ◽  
Elisabeth Pelikan ◽  
Katariina Salmela-Aro ◽  
...  

In the wake of COVID-19, university students have experienced fundamental changes of their learning and their lives as a whole. The present research identifies psychological characteristics associated with students’ well-being in this situation. We investigated relations of basic psychological need satisfaction (experienced competence, autonomy, and relatedness) with positive emotion and intrinsic learning motivation, considering self-regulated learning as a moderator. Self-reports were collected from 6,071 students in Austria (Study 1) and 1,653 students in Finland (Study 2). Structural equation modeling revealed competence as the strongest predictor for positive emotion. Intrinsic learning motivation was predicted by competence and autonomy in both countries and by relatedness in Finland. Moderation effects of self-regulated learning were inconsistent, but main effects on intrinsic learning motivation were identified. Surprisingly, relatedness exerted only a minor effect on positive emotion. The results inform strategies to promote students’ well-being through distance learning, mitigating the negative effects of the situation.


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