Predictors of English as a Foreign Language (EFL) Teachers' Acceptance of Online Teaching in Higher Education Institutions in China

被引：0
|
作者：
Gao, Yanjun [1 ]
Wong, Su Luan [1 ]
Khambari, Mas Nida M. D. [1 ]
Noordin, Nooreen [1 ]
机构：
[1] Univ Putra Malaysia, Fac Educ Studies, Serdang, Malaysia
来源：
29TH INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION (ICCE 2021), VOL II | 2021年
关键词：
Online teaching; technology acceptance; EFL teachers; USER ACCEPTANCE; TECHNOLOGY;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
To better understand English as a Foreign Language (EFL) teachers' intention to adopt online teaching in China, six predictors are selected to examine the EFL teachers' intention to teach online based on the extended Technology Acceptance Model (TAM) in the study. This study adopts the correlational research design involving a minimum of 239 samples using the proportional stratified cluster sampling method. An online structured questionnaire will be administrated to collect data. Descriptive and inferential statistical analyses such as Pearson product-moment correlation and multiple linear regression (MLR) will be used to analyze the data.
引用
收藏
页码：754 / 757
页数：4
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