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Puah, Shermain; Bin Mohmad Khalid, Muhammad Iskandar Shah; Looi, Chee Kit; Khor, Ean Teng – British Journal of Educational Technology, 2022
The current work validated the decomposed theory of planned behaviour (DTPB) with working adults to assess its ability to predict intentions to participate in microlearning and also identify the significant factors that drive microlearning usage decisions. We found that positive attitudes towards microlearning (Attitude), stronger beliefs in…
Descriptors: Adults, Intention, Behavior Theories, Electronic Learning
Wang, Qiong; Zhao, Guoqing – British Journal of Educational Technology, 2023
Technostress is an undesired consequence of information and communication technology (ICT) use and might negatively affect teachers. However, there is a lack of empirical research exploring the influences of technostress creators on teachers' ICT use. This study aims to bridge this gap by exploring the structural relationship among five…
Descriptors: Stress Variables, Educational Technology, Technology Integration, Teacher Attitudes
Adedoyin, Olasile Babatunde; Altinay, Fahriye – British Journal of Educational Technology, 2023
The advent of open educational resources (OER) has increased access to pedagogical resources that promote the quality of education, but the potential of the OER to transform pedagogical practices is yet to be realized, mainly as a result of a lack of concentration on the policies and practices necessary to support the idea of openness within the…
Descriptors: Open Educational Resources, Student Motivation, Creativity, Intention
Ying Zhan; Daner Sun; Ho Man Kong; Ye Zeng – British Journal of Educational Technology, 2024
There is a global trend in the increased adoption of e-assessment in school classrooms to enhance learning. Teachers, as classroom-based assessment designers and implementers, play a vital role in such assessment change. However, little is known about school teachers' classroom-based e-assessment practices and the underlying reasons. To address…
Descriptors: Elementary School Teachers, Student Evaluation, Evaluation Methods, Educational Technology
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
Shiyan Jiang; Jeanne McClure; Cansu Tatar; Franziska Bickel; Carolyn P. Rosé; Jie Chao – British Journal of Educational Technology, 2024
This study addresses the need for inclusive AI education by focusing on marginalized female students who historically lack access to learning opportunities in computing. It applies the theoretical framework of intersectionality to understand how gender, race and ethnicity intersect to shape these students' learning experiences and outcomes.…
Descriptors: Artificial Intelligence, Computer Uses in Education, Inclusion, Disproportionate Representation
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
Malanga, Andrea Cristina Micchelucci; Bernardes, Roberto Carlos; Borini, Felipe Mendes; Pereira, Rafael Morais; Rossetto, Dennys Eduardo – British Journal of Educational Technology, 2022
The use of e-learning services is growing in different contexts, especially in the COVID-19 pandemic. This study aims to examine students' acceptance of and intention to use Learning Management Systems (LMSs) for university education in Brazil using the extended technology acceptance model, unified theory of acceptance and use of technology…
Descriptors: Foreign Countries, Electronic Learning, Integrated Learning Systems, College Students
Rüth, Marco; Birke, Adrian; Kaspar, Kai – British Journal of Educational Technology, 2022
Despite many known educational benefits of digital game-based learning, teaching with digital games is not yet a common practice in formal education. The role that digital game-based learning might play in future school teaching can be explored by examining the behavioral intentions of pre-service teachers as the ultimate gatekeepers. In this…
Descriptors: Game Based Learning, Educational Technology, Technology Uses in Education, Preservice Teachers
Liu, Zheyu; Yu, Ping; Liu, Jiale; Pi, Zhongling; Cui, Weijin – British Journal of Educational Technology, 2023
Virtual reality, as an excellent supportive instructional technology, has gained increasing attention from educators and professionals, where desktop-based virtual reality (DVR) is broadly adopted due to its affordability and accessibility. However, when evaluating students' learning experiences such as flow experiences in DVR environments, most…
Descriptors: Self Control, STEM Education, Computer Simulation, Undergraduate Students
Anna-Lisa Max; Sarah Lukas; Holger Weitzel – British Journal of Educational Technology, 2024
The aim of this study was (1) to describe challenges prospective teachers perceive during project work in a pedagogical makerspace and coping strategies they develop to deal with the challenges, (2) to analyse the development of prospective teachers' TPACK and attitudes towards the use of ICT in class. Challenges regarding project work and coping…
Descriptors: Preservice Teachers, Shared Resources and Services, Technological Literacy, Pedagogical Content Knowledge
Sprenger, David A.; Schwaninger, Adrian – British Journal of Educational Technology, 2023
The technology acceptance model (TAM) uses perceived usefulness and perceived ease of use to predict the intention to use a technology which is important when deciding to invest in a technology. Its extension for e-learning (the general extended technology acceptance model for e-learning; GETAMEL) adds subjective norm to predict the intention to…
Descriptors: Video Technology, Demonstrations (Educational), Prediction, Intention
Eichen, Lars; Hackl-Wimmer, Sigrid; Eglmaier, Marina Tanja Waltraud; Lackner, Helmut Karl; Paechter, Manuela; Rettenbacher, Karoline; Rominger, Christian; Walter-Laager, Catherine – British Journal of Educational Technology, 2021
Since digital media such as smartphones, tablets or laptops are available in almost every household in industrialised countries, parents are challenged to integrate them into their everyday family life. To gain more information on parents' mediation of digital media, the relationships between their educational intentions, objectives and their…
Descriptors: Mass Media Use, Family (Sociological Unit), Intention, Parenting Styles
Reasons Associated with Preservice Teachers' Intention to Use Immersive Virtual Reality in Education
Bower, Matt; DeWitt, Dorothy; Lai, Jennifer W. M. – British Journal of Educational Technology, 2020
The recent interest in the use of Immersive Virtual Reality (IVR) in education seems to correspond with the increased affordability, accessibility and functionality of IVR hardware and software. IVR has the potential to enhance immersion, improve spatial capabilities, promote empathy, increase motivation and possibly improve learning outcomes.…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Intention
Garone, Anja; Pynoo, Bram; Tondeur, Jo; Cocquyt, Celine; Vanslambrouck, Silke; Bruggeman, Bram; Struyven, Katrien – British Journal of Educational Technology, 2019
The unified theory of acceptance and use of technology (UTAUT) is a survey instrument used to determine technology usage intention and behaviour. UTAUT consists of four predictor variables; performance expectance, effort expectancy, social influence and facilitating conditions. This study investigates the technology acceptance profiles of…
Descriptors: College Faculty, Integrated Learning Systems, Technology Integration, Intention