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Direct linkAndrew Kemp; Edward Palmer; Peter Strelan; Helen Thompson – British Journal of Educational Technology, 2024
Many technology acceptance models used in education were originally designed for general technologies and later adopted by education researchers. This study extends Davis' technology acceptance model to specifically evaluate educational technologies in higher education, focusing on virtual classrooms. Prior research informed the construction of…
Descriptors: College Students, Educational Technology, Models, Student Attitudes
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
Deliang Wang; Cunling Bian; Gaowei Chen – British Journal of Educational Technology, 2024
Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…
Descriptors: Artificial Intelligence, Dialogs (Language), Discourse Analysis, Trust (Psychology)
Zhao, Yang; Wang, Ning; Li, Yixuan; Zhou, Ruoxin; Li, Shuangshuang – British Journal of Educational Technology, 2021
The great advantages of e-learning have been recognized, and efforts have been made to promote e-learning adoption. Despite valuable research achievements from technology adoption, previous studies built their models from different perspectives. In this study, to offer a comprehensive research model on e-learning adoption, we integrated these…
Descriptors: Cultural Differences, Electronic Learning, Student Attitudes, Computer Attitudes
Chien, Shu-Yun; Hwang, Gwo-Jen – British Journal of Educational Technology, 2022
Intracultural learning emphasises the importance of understanding one's own culture and that of foreign countries; furthermore, it involves sharing relevant opinions with people from around the world and developing an understanding and acceptance of differences. In order to immerse students in foreign countries to experience the cultures and…
Descriptors: Multicultural Education, Computer Simulation, Computer Uses in Education, Learner Engagement
Nazaretsky, Tanya; Ariely, Moriah; Cukurova, Mutlu; Alexandron, Giora – British Journal of Educational Technology, 2022
Evidence from various domains underlines the critical role that human factors, and especially trust, play in adopting technology by practitioners. In the case of Artificial Intelligence (AI) powered tools, the issue is even more complex due to practitioners' AI-specific misconceptions, myths and fears (e.g., mass unemployment and privacy…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teacher Attitudes, Trust (Psychology)
