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Dalvi-Esfahani, Mohammad; Wai Leong, Lam; Ibrahim, Othman; Nilashi, Mehrbakhsh – Journal of Educational Computing Research, 2020
In the literature, there is a scarcity of studies investigating the factors influencing the deployment of mobile Web 2.0 (MW2.0) as pedagogical tools in higher education. The purpose of this study is to investigate the adoption of mobile Web 2.0 learning (MW2.0L) by students and further to explore their perceived learning. Accordingly, a research…
Descriptors: Student Attitudes, Web 2.0 Technologies, Telecommunications, Handheld Devices
Wright, Sarah R. – ProQuest LLC, 2018
The computing industry has advanced at a rapid pace from desktops and laptops to mobile devices that can be held or worn including smart phones, tablets, and smart watches. These mobile technologies have become a part of every facet of life from banking and health care to new ways to communicate with family and peers. While business and industry…
Descriptors: Telecommunications, Handheld Devices, Higher Education, College Faculty
Hur, Jung Won; Shen, Ying W.; Kale, Ugur; Cullen, Theresa A. – International Journal of Mobile and Blended Learning, 2015
Teachers in the US have been increasingly adopting mobile devices for teaching, but little research has examined how pre-service teachers perceive mobile device integration in classrooms. To address this issue, the study developed a research model that explained factors affecting pre-service teachers' intention to use mobile devices and the…
Descriptors: Preservice Teachers, Intention, Technology Integration, Technology Uses in Education
Chang, Chi-Cheng; Liang, Chaoyun; Yan, Chi-Fang; Tseng, Ju-Shih – Asia-Pacific Education Researcher, 2013
Mobile learning, with its features of ubiquitousness and flexibility, enables users to learn in any appropriate place and at any appropriate time. This emerging way of digital learning will be the future trend. Therefore, the technology acceptance model (TAM) proposed by Davis was extended with extrinsic motivation, perceived convenience, and…
Descriptors: College Students, Student Motivation, Intention, Electronic Learning
Chang, Chi-Cheng; Yan, Chi-Fang; Tseng, Ju-Shih – Australasian Journal of Educational Technology, 2012
Since convenience is one of the features for mobile learning, does it affect attitude and intention of using mobile technology? The technology acceptance model (TAM), proposed by David (1989), was extended with perceived convenience in the present study. With regard to English language mobile learning, the variables in the extended TAM and its…
Descriptors: Educational Technology, Foreign Countries, Intention, Electronic Learning
Abu-Al-Aish, Ahmad; Love, Steve – International Review of Research in Open and Distance Learning, 2013
M-learning will play an increasingly significant role in the development of teaching and learning methods for higher education. However, the successful implementation of m-learning in higher education will be based on users' acceptance of this technology. Thus, the purpose of this paper is to study the factors that affect university students'…
Descriptors: Investigations, Performance Factors, Higher Education, Handheld Devices