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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
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
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
Akbulut, Asli Y. – Journal of Educational Computing Research, 2016
The importance of role models on individuals' academic and career development and success has been widely acknowledged in the literature. The purpose of this study was to understand the influence of role models on students' decisions to major in information systems (IS). Utilizing a model derived from the social cognitive career theory, we…
Descriptors: Role Models, Information Systems, Majors (Students), Influences
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
Teo, Timothy; Ruangrit, Nammon; Khlaisang, Jintavee; Thammetar, Thapanee; Sunphakitjumnong, Kobkul – Journal of Educational Computing Research, 2014
This study surveys the e-learning acceptance of university students in Thailand. One thousand nine hundred and eighty-one (1,981) participants completed the E-Learning Acceptance Measure (Teo, 2010) which measures three constructs that predict e-learning acceptance (tutor quality, perceived usefulness, and facilitating conditions). Data analysis…
Descriptors: Foreign Countries, Electronic Learning, College Students, Student Surveys
Kuo, Feng-Yang; Wu, Wen-Hsiung; Lin, Cathy S. – Journal of Educational Computing Research, 2013
Today, information technology (IT) has permeated virtually every aspect of our society and the learning of software programming is becoming increasingly important to the creation and maintenance of the IT infrastructure critical to our daily life. In this article, we report the results of a study that demonstrates how the self-regulation paradigm…
Descriptors: Computer Science Education, Programming, College Students, Programming Languages
Tarhini, Ali; Hone, Kate; Liu, Xiaohui – Journal of Educational Computing Research, 2014
The success of an e-learning intervention depends to a considerable extent on student acceptance and use of the technology. Therefore, it has become imperative for practitioners and policymakers to understand the factors affecting the user acceptance of e-learning systems in order to enhance the students' learning experience. Based on an extended…
Descriptors: Foreign Countries, Gender Differences, Age Differences, Electronic Learning
Teo, Timothy; Wong, Su Luan – Journal of Educational Computing Research, 2013
This study explored the key drivers of student teachers' e-learning satisfaction. Three hundred and eighty-seven participants completed a survey questionnaire measuring their self-reported responses to six constructs (tutor quality, perceived usefulness, perceived ease of use, course delivery, facilitating conditions, and course satisfaction).…
Descriptors: Foreign Countries, Usability, Use Studies, Technical Support
Chang, Chen-Chi; Jong, Ay; Huang, Fu-Chang – Journal of Educational Computing Research, 2012
Students acquire skills in problem solving and critical thinking through the process as well as team work on problem-based learning courses. Many courses have started to involve the online learning environment and integrate these courses with electronic resources. Teachers use electronic resources in their classes. To overcome the problem of the…
Descriptors: Educational Resources, Structural Equation Models, Problem Based Learning, Internet
Ke, Fengfeng; Kwak, Dean – Journal of Educational Computing Research, 2013
The present study investigated the relationships between constructs of web-based student-centered learning and the learning satisfaction of a diverse online student body. Hypotheses on the constructs of student-centered learning were tested using structural equation modeling. The results indicated that five key constructs of student-centered…
Descriptors: Educational Technology, Distance Education, Computer Literacy, Integrated Learning Systems
Lin, Yi-Mei; Lin, Guan-Yu; Laffey, James M. – Journal of Educational Computing Research, 2008
This study examines how social and motivational attributes may influence students' online learning experiences. Based on a review of social theories of learning and research about individual characteristics associated with motivation four constructs were included: social ability, learning goal orientation, perceived task value, and self-efficacy.…
Descriptors: Learning Theories, Individual Characteristics, Structural Equation Models, Self Efficacy