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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
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
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
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
Ursavas, Ömer Faruk; Yalçin, Yasin; Bakir, Eda – British Journal of Educational Technology, 2019
Technology acceptance model (TAM) is one of the models that is used to explain the acceptance and use of technology with user perceptions and attitudes. Some researchers argued that TAM should include external variables, such as subjective norms, to improve our understanding of the effect of social impact on technology acceptance. The purpose of…
Descriptors: Preservice Teachers, Intention, Behavior Standards, Student Attitudes
Guggemos, Josef; Seufert, Sabine; Sonderegger, Stefan – British Journal of Educational Technology, 2020
This study investigates the acceptance of social robots by higher education students in the social sciences. Pepper, a humanoid social robot from SoftBank Robotics, provided a sample of its capabilities during a first semester, large-scale, university course, "Introduction to academic writing."From this course, 462 freshmen participated…
Descriptors: Robotics, Technology Uses in Education, Higher Education, Social Sciences
Shonfeld, Miri; Greenstein, Yoram – British Journal of Educational Technology, 2021
This paper focuses on student attitudes about using a virtual world (VW) learning platform. VWs allow students to meet via avatars and experience events that simulate real social experiences. It can also enhance student motivation, learning and collaboration. However, studies have reported that many students and teachers find VW difficult to use,…
Descriptors: Preservice Teachers, College Students, Student Attitudes, Computer Simulation
Eraslan Yalcin, Muyesser; Kutlu, Birgul – British Journal of Educational Technology, 2019
The aim of this study is to examine students' acceptance of and intention to use Learning Management Systems (LMSs) for university education in Turkey using extended Technology Acceptance Model (e-TAM). TAM has been widely used in various fields of technology acceptance in the last years and is found to be highly useful for the determination of…
Descriptors: Foreign Countries, College Students, Student Attitudes, Computer Attitudes
Khechine, Hager; Raymond, Benoit; Augier, Marc – British Journal of Educational Technology, 2020
The purpose of this study is to identify the determinants of the intention to use and the effective use of a learning management system that integrates social learning tools. Data were collected through an online questionnaire and analyzed using structural equation modeling techniques. As our theoretical lens, we adapted the original unified…
Descriptors: Intention, Integrated Learning Systems, Higher Education, Social Media
Liu, Haixia; Wang, Lina; Koehler, Matthew J. – British Journal of Educational Technology, 2019
This study explored the strength and mechanisms of the intention-use link in the Technology Acceptance Model (TAM), based on data from a sample of 198 in-service college-level foreign-language teachers in China. Its sequential explanatory research design involved, firstly, a quantitative approach to examine the structural relations among the TAM's…
Descriptors: Foreign Countries, Intention, Behavior, Models