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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
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García Botero, Gustavo; Questier, Frederik; Cincinnato, Sebastiano; He, Tao; Zhu, Chang – Journal of Computing in Higher Education, 2018
Research on mobile learning indicates that students perceive mobile devices mainly as communication and entertainment tools. Therefore, a key factor in successful mobile learning implementation is the initial measurement of students' acceptance of those devices into their learning. Countless language applications available suggest that mobile…
Descriptors: College Students, Electronic Learning, Computer Attitudes, Computer Assisted Instruction
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Konak, Abdullah; Kulturel-Konak, Sadan; Nasereddin, Mahdi; Bartolacci, Michael R. – Journal of Information Technology Education: Research, 2017
Aim/Purpose: This paper utilizes the Technology Acceptance Model (TAM) to examine the extent to which acceptance of Remote Virtual Computer Laboratories (RVCLs) is affected by students' technological backgrounds and the role of collaborative work. Background: RVCLs are widely used in information technology and cyber security education to provide…
Descriptors: Technology Integration, Technology Uses in Education, Educational Technology, Computer Attitudes
Kingery, Ryan – ProQuest LLC, 2009
This research investigated the factors predicting nonprofit employees' likelihood of attending online training sessions using a simulated training announcement and the Technology Acceptance Model. The research sampled nonprofit employees from a human services organization (n = 101). Analyses were used to determine the relationship between…
Descriptors: Human Services, Employees, Computer Assisted Instruction, Training
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Chang, Su-Chao; Tung, Feng-Cheng – British Journal of Educational Technology, 2008
With the development of the Internet in the era of knowledge-driven economy, e-learning is experiencing rapid growth. The online learning course websites are drawing more attention as well. This research combines the innovation diffusion theory and the technology acceptance model, and adds two research variables, perceived system quality and…
Descriptors: Distance Education, Self Efficacy, Online Courses, Educational Technology