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Direct linkZhengdong Gan; Christopher Fulton; Siying Li – Computer Assisted Language Learning, 2024
This article presents the development and validation of the Pre-Service EFL Teachers' Motivational Beliefs about Instructional Use of Technology scale (PTMB-EFL) using a randomly split sample. Confirmatory factor analysis supported a 23-item six-factor structure of the PTMB-EFL generated from exploratory factor analysis. Significant correlations…
Descriptors: Preservice Teachers, English (Second Language), Language Teachers, Teacher Motivation
Li, Rui; Meng, Zhaokun; Tian, Mi; Zhang, Zhiyi; Ni, Chuanbin; Xiao, Wei – Computer Assisted Language Learning, 2019
Automated Writing Evaluation (AWE) has been widely applied in computer-assisted language learning (CALL) in China. However, little is known about factors that influence learners' intention to use AWE. To this end, by adding two external factors (i.e. computer self-efficacy and computer anxiety) to the technology acceptance model (TAM), we surveyed…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Automation
Chen, Ping-Ju – Computer Assisted Language Learning, 2016
The documentation of the benefits of blog use in foreign language education has proliferated since 2006. In the field of blogging to write, most studies focus on learners' linguistic performance and perceptions. To provide an analysis of learners' writing performance by using blogs, in addition to the often-researched areas, this study examines…
Descriptors: Foreign Countries, Metalinguistics, College Students, Science Education
