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Teo, Timothy – Journal of Educational Computing Research, 2019
This study proposed a model to explain the students' and teachers' intention to use (ITU) technology. A sample of 1,095 participants (503 students and 592 teachers) responded to a 15-item, 7-point scale designed to measure six variables: perceived usefulness (PU), perceived ease of use, attitude toward use (ATU), facilitating conditions, computer…
Descriptors: Intention, Technology Uses in Education, Educational Technology, Teachers
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Raza, Syed Ali; Qazi, Wasim; Umer, Amna – Journal of Educational Computing Research, 2017
This study analyzes the influence of Facebook usage on building social capital among university students in Karachi by using a modified framework of technology acceptance model. Important information was gathered utilizing organized questionnaire containing items of Facebook intensity, social self-efficacy, perceived ease of use, perceived…
Descriptors: College Students, Social Capital, Social Media, Developing Nations
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Raza, Syed Ali; Umer, Amna; Qazi, Wasim; Makhdoom, Murk – Journal of Educational Computing Research, 2018
This study intends to analyze the influence of behavioral and psychosocial factors of higher education students of Karachi on acceptance of m-learning as a mode of getting education. The Theory of Planned Behavior and Technology Acceptance Model have provided the basic frameworks to formulate the hypotheses for this study. The analyses of the…
Descriptors: Foreign Countries, College Students, Student Attitudes, Social Influences
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Mei, Bing; Brown, Gavin T. L.; Teo, Timothy – Journal of Educational Computing Research, 2018
Despite the rapid proliferation of information and communication technologies, there exists a paucity of empirical research on the causes of the current low acceptance of computer-assisted language learning (CALL) by English as a foreign language (EFL) teachers in the People's Republic of China (PRC). This study aims to remedy this situation…
Descriptors: Foreign Countries, Preservice Teachers, Language Teachers, Second Language Instruction
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Chen, Ruey-Shin; Liu, I-Fan – Journal of Educational Computing Research, 2017
Currently, e-learning systems are being widely used in all stages of education. However, it is difficult for school administrators to accurately assess the actual usage performance of a new system, especially when an organization wishes to update the system for users from different backgrounds using new devices such as smartphones. To allow school…
Descriptors: Educational Technology, Technology Uses in Education, College Students, Student Attitudes
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Wu, Bian; Hu, Yiling; Gu, Xiaoqing; Lim, Cher Ping – Journal of Educational Computing Research, 2016
As information and communication technology (ICT) continues to develop, it is essential for teachers to acquire ability for teaching with ICT. In China, new higher education (HE) teachers often lack teaching experience because there are limited teaching opportunities during their postgraduate studies. This status quo may compromise the quality of…
Descriptors: Professional Development, Higher Education, Beginning Teachers, College Faculty
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Bao, Yukun; Xiong, Tao; Hu, Zhongyi; Kibelloh, Mboni – Journal of Educational Computing Research, 2013
Reasons for contradictory findings regarding the gender moderate effect on computer self-efficacy in the adoption of e-learning/mobile learning are limited. Recognizing the multilevel nature of the computer self-efficacy (CSE), this study attempts to explore gender differences in the adoption of mobile learning, by extending the Technology…
Descriptors: Gender Differences, Self Efficacy, Computer Literacy, Telecommunications
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Chen, Baiyun; Sivo, Stephen; Seilhamer, Ryan; Sugar, Amy; Mao, Jin – Journal of Educational Computing Research, 2013
Mobile learning is a fast growing trend in higher education. This study examined how an extended technology acceptance model (TAM) could evaluate and predict the use of a mobile application in learning. A path analysis design was used to measure the mediating effects on the use of Blackboard's Mobile™ Learn application in coursework (N = 77). The…
Descriptors: Telecommunications, Higher Education, Handheld Devices, Educational Technology