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Unal, Erhan; Uzun, Ahmet Murat – British Journal of Educational Technology, 2021
Educational social network sites have many uses in the field of education. The present paper aims to determine factors influencing students' behavioral intention to use a popular educational social network site, Edmodo. Using an extension of the technology acceptance model, we analyzed quantitative responses of 218 university students, registered…
Descriptors: College Students, Intention, Social Media, Technology Integration
Mohan Yang; Shiyan Jiang; Belle Li; Kristin Herman; Tian Luo; Shanan Chappell Moots; Nolan Lovett – British Journal of Educational Technology, 2025
Generative artificial intelligence brings opportunities and unique challenges to nontraditional higher education students, stemming, in part, from the experience of the digital divide. Providing access and practice is critical to bridge this divide and equip students with needed digital competencies. This mixed-methods study investigated how…
Descriptors: Nontraditional Students, Artificial Intelligence, Technology Uses in Education, Man Machine Systems
Nistor, Nicolae; Stanciu, Dorin; Lerche, Thomas; Kiel, Ewald – British Journal of Educational Technology, 2019
Technology acceptance models presuppose that technology users have clearly defined attitudes toward technology, which is not necessarily true. Complementary, social-psychological research proposes attitude strength (AS), a construct that has been so far insufficiently examined in the context of technology acceptance. Attitudes toward technology…
Descriptors: Foreign Countries, Undergraduate Students, Computer Attitudes, Student Attitudes
Sun, Jerry Chih-Yuan; Rueda, Robert – British Journal of Educational Technology, 2012
This study investigates possible relationships among motivational and learning variables (interest, self-efficacy and self-regulation) and three types of student engagement (behavioural engagement, emotional engagement and cognitive engagement) in a distance education setting. Participants were 203 students enrolled in online classes in the fall…
Descriptors: Learner Engagement, Electronic Learning, Self Efficacy, Gerontology
Sivo, Stephen A.; Pan, Cheng-Chang; Hahs-Vaughn, Debbie L. – British Journal of Educational Technology, 2007
Factors affecting the student use of a course management system in a web-enhanced course are investigated using the technology acceptance model. Represented in the present study is the second phase of the analysis, with a focus on the causal relationship of subjective norms to student attitudes towards WebCT and their effect on three dependent…
Descriptors: Student Attitudes, Online Courses, Structural Equation Models, Web Based Instruction

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