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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
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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
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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
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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
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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
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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
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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
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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
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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
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Sánchez-Prieto, José Carlos; Huang, Fang; Olmos-Migueláñez, Susana; García-Peñalvo, Francisco J.; Teo, Timothy – British Journal of Educational Technology, 2019
This research work intends to make an innovative contribution to the existing literature by studying the predictive effect of two relatively unexplored constructs on the adoption of an emerging technology, such as mobile devices, among a seldom-studied population in the European context (secondary education preservice teachers). To achieve this…
Descriptors: Resistance to Change, Adoption (Ideas), Attachment Behavior, Handheld Devices
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Moghavvemi, Sedigheh; Salarzadeh Janatabadi, Hashem – British Journal of Educational Technology, 2018
The majority of studies utilised the cross-sectional method to measure students' intention to learn and investigate their corresponding learning behaviours. Only a few studies have measured the process of change in students' learning behaviour in the context of time. The main purpose of this study is to determine the effects of using a Facebook…
Descriptors: Educational Technology, Technology Uses in Education, Social Media, Longitudinal Studies
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Baydas, Ozlem; Yilmaz, Rabia M. – British Journal of Educational Technology, 2018
This study proposes a model for determining preservice teachers' intentions to adopt mobile learning from a motivational perspective. Data were collected from 276 preservice teachers and analyzed by structural equation modeling. A model capable of explaining 87% of the variance in preservice teachers' intention to adopt mobile learning was…
Descriptors: Preservice Teachers, Student Attitudes, Intention, Telecommunications
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Moreno, Valter; Cavazotte, Flavia; Alves, Isabela – British Journal of Educational Technology, 2017
Students' success in e-learning programs depends on how they adopt and embed technology into their learning activities. Drawing on the Technology Acceptance Model, we propose a framework to explain students' intention to use e-learning platforms effectively, that is, their intention to fully exploit system's functionalities in leaning processes,…
Descriptors: College Students, Electronic Learning, Intention, Student Attitudes
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Cheng, Eddie W. L.; Chu, Samuel K. W.; Ma, Carol S. M. – British Journal of Educational Technology, 2016
With the emergence of web technologies, students can conduct their group projects via virtual platforms, which enable online collaboration. However, students' lack of intention to use web technologies for conducting group work has recently been highlighted. Based on the theory of planned behaviour (TPB), this paper developed and examined an…
Descriptors: Educational Technology, Technology Uses in Education, Computer Mediated Communication, Student Attitudes
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Yusop, Farrah Dina – British Journal of Educational Technology, 2015
In recent years, researchers have focused on investigating factors that influence preservice teachers' utilization of Web 2.0 technologies in their classrooms. Findings indicate that preservice teachers' intentions, beliefs and attitudes toward technology are important determinants of the success of future technology integration. However, studies…
Descriptors: Web 2.0 Technologies, Technology Uses in Education, Preservice Teachers, Intention
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