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Huang, Fang; Teo, Timothy; Scherer, Ronny – Interactive Learning Environments, 2022
As a key variable determining technology acceptance and adoption, the perceived ease of technology use (PEU) has been in the focus of a considerable body of research. This research examined the external factors that influence perceived ease of use, such as computer self-efficacy and perceived enjoyment, but yielded inconsistent findings and…
Descriptors: College Students, Internet, Electronic Learning, Usability
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Jiang, Haozhe; Islam, A. Y. M. Atiquil; Gu, Xiaoqing; Spector, Jonathan Michael – Education and Information Technologies, 2021
Student satisfaction is of great significance in online learning, but few studies have explored its determinants in emerging countries. This study investigated the determinants of university students' satisfaction with online learning platforms in China through applying the Technology Satisfaction Model during the COVID-19 pandemic, when an…
Descriptors: Foreign Countries, Electronic Learning, Student Satisfaction, College Students
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Li, Rui – SAGE Open, 2021
Despite the growing attention being paid to the use of Automated Writing Evaluation (AWE) in China, it is still uncertain what factors lie behind EFL (English-as-a-foreign-language) learners' continuance intention to use it. To this end, by adding two external factors (i.e., computer self-efficacy and perceived ease of use) to the expectation…
Descriptors: Intention, Persistence, Automation, Computer Assisted Instruction
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Thongsri, Nattaporn; Shen, Liang; Bao, Yukun – Innovations in Education and Teaching International, 2020
Recognizing the underlying relationship between e-learning practice and the institutional environments hosted in, the Chinese educational practice on branching high school students into science, technology, engineering, and mathematics (STEM) and non-STEM academic major groups before being admitted into universities or colleges is examined. By…
Descriptors: Majors (Students), Self Efficacy, Computer Literacy, Intention
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Bin, Enlin; Islam, A. Y. M. Atiquil; Gu, Xiaoqing; Spector, Jonathan Michael; Wang, FaLiang – British Journal of Educational Technology, 2020
The problem motivating this research is the rapid introduction of educational technologies and the strong push to use new technologies in technical and vocational training in China coupled with varied responses and uneven adoption of new tools on the part of practitioners. This study investigated the factors that influence technical and vocational…
Descriptors: Foreign Countries, Vocational Education, College Faculty, Educational Technology
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Islam, A. Y. M. Atiquil; Gu, Xiaoqing; Crook, Charles; Spector, Jonathan Michael – SAGE Open, 2020
Assessment studies using structural equation modeling and Rasch Model have long been prominent in all areas of educational psychology. Their emphases have covered, but have not been limited to, the improvement of quality in teaching, learning, and research as well as the pursuit of research productivity. However, such methodological approaches…
Descriptors: Structural Equation Models, Evaluation Methods, Higher Education, Information Technology
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Cai, Jin; Yang, Harrison Hao; Gong, Di; MacLeod, Jason; Zhu, Sha – Journal of Computing in Higher Education, 2019
The flipped classroom has gained much attention for its pedagogical success in higher education. However, continued use of this technology-supported instructional approach has been problematic. To support the success and continuation of flipped classroom implementation, this study employs structural equation modeling techniques to examine the…
Descriptors: Blended Learning, Self Efficacy, Computer Literacy, Pedagogical Content Knowledge
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Teo, Timothy; Huang, Fang; Hoi, Cathy Ka Weng – Interactive Learning Environments, 2018
Given the paradox between pervasive promotion of technology use in English teaching and lack of studies about teachers' technology acceptance in China, this study aims to examine intentions of English teachers in China to use technology in their classroom teaching. Based on the technology acceptance model, eight variables including perceived…
Descriptors: Foreign Countries, Technology Uses in Education, Intention, English (Second Language)