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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
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
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
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
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
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
Tzeng, Jeng-Yi; Chen, Ssu-Han – British Journal of Educational Technology, 2012
The growing popularity of a school-wide e-portfolio system in colleges and universities has raised concerns regarding whether students will use it or consider it important to have an e-portfolio system, especially when its use is not required by their curriculum. This study investigated college students' intentions to use and the students'…
Descriptors: Portfolios (Background Materials), College Students, Student Attitudes, Higher Education
Li, Yan; Duan, Yanqing; Fu, Zetian; Alford, Philip – British Journal of Educational Technology, 2012
The learner's acceptance of e-learning systems has received extensive attention in prior studies, but how their experience of using e-learning systems impacts on their behavioural intention to reuse those systems has attracted limited research. As the applications of e-learning are still gaining momentum in developing countries, such as China,…
Descriptors: Foreign Countries, Developing Nations, Usability, Rural Areas