Testing a novel extended educational technology acceptance model using student attitudes towards virtual classrooms

IF 6.7 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH British Journal of Educational Technology Pub Date : 2024-02-06 DOI:10.1111/bjet.13440
Andrew Kemp, Edward Palmer, Peter Strelan, Helen (Mery) Thompson
{"title":"Testing a novel extended educational technology acceptance model using student attitudes towards virtual classrooms","authors":"Andrew Kemp,&nbsp;Edward Palmer,&nbsp;Peter Strelan,&nbsp;Helen (Mery) Thompson","doi":"10.1111/bjet.13440","DOIUrl":null,"url":null,"abstract":"<p>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 the model, which contains perceived usefulness, perceived ease of use, behavioural intent, access and convenience, system attributes and self-efficacy. Education-specific constructs include cognitive engagement, feedback, instructor practice and class interaction and communication. Additionally, a new construct called comfort and well-being is introduced. A total of 427 valid responses on a 5-point Likert scale were received from university students. Exploratory factor analysis, confirmatory factor analysis and structural equation modelling were used to analyse the data. The model accounted for 78% of variance of behavioural intent, with comfort and well-being demonstrating the strongest influence. Cognitive engagement, access and convenience influenced perceived usefulness, and system attributes and self-efficacy influenced perceived ease of use. Feedback, instructor practice and class interaction and communication were not significant as educational constructs for this cohort. Based on this analysis, a final extended educational technology acceptance model (EETAM) is proposed for further use and testing.\n </p>","PeriodicalId":48315,"journal":{"name":"British Journal of Educational Technology","volume":null,"pages":null},"PeriodicalIF":6.7000,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/bjet.13440","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"British Journal of Educational Technology","FirstCategoryId":"95","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/bjet.13440","RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0

Abstract

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 the model, which contains perceived usefulness, perceived ease of use, behavioural intent, access and convenience, system attributes and self-efficacy. Education-specific constructs include cognitive engagement, feedback, instructor practice and class interaction and communication. Additionally, a new construct called comfort and well-being is introduced. A total of 427 valid responses on a 5-point Likert scale were received from university students. Exploratory factor analysis, confirmatory factor analysis and structural equation modelling were used to analyse the data. The model accounted for 78% of variance of behavioural intent, with comfort and well-being demonstrating the strongest influence. Cognitive engagement, access and convenience influenced perceived usefulness, and system attributes and self-efficacy influenced perceived ease of use. Feedback, instructor practice and class interaction and communication were not significant as educational constructs for this cohort. Based on this analysis, a final extended educational technology acceptance model (EETAM) is proposed for further use and testing.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用学生对虚拟教室的态度测试新型扩展教育技术接受模型
许多用于教育领域的技术接受模型最初是为一般技术设计的,后来被教育研究人员采用。本研究扩展了戴维斯的技术接受度模型,专门用于评估高等教育中的教育技术,重点是虚拟教室。该模型包含感知有用性、感知易用性、行为意图、访问和便利性、系统属性和自我效能。针对教育领域的构建包括认知参与、反馈、教师实践以及课堂互动和交流。此外,还引入了一个名为 "舒适度和幸福感 "的新概念。在 5 点李克特量表上共收到 427 份来自大学生的有效回复。数据分析采用了探索性因子分析、确认性因子分析和结构方程模型。该模型解释了 78% 的行为意向变异,其中舒适度和幸福感的影响最大。认知参与、访问和便利性影响了感知有用性,系统属性和自我效能影响了感知易用性。反馈、教师实践和课堂互动与交流作为教育建构因素对这批学生的影响并不大。基于以上分析,我们提出了最终的扩展教育技术接受模型(EETAM),以供进一步使用和测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
British Journal of Educational Technology
British Journal of Educational Technology EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
15.60
自引率
4.50%
发文量
111
期刊介绍: BJET is a primary source for academics and professionals in the fields of digital educational and training technology throughout the world. The Journal is published by Wiley on behalf of The British Educational Research Association (BERA). It publishes theoretical perspectives, methodological developments and high quality empirical research that demonstrate whether and how applications of instructional/educational technology systems, networks, tools and resources lead to improvements in formal and non-formal education at all levels, from early years through to higher, technical and vocational education, professional development and corporate training.
期刊最新文献
Issue Information A multimodal approach to support teacher, researcher and AI collaboration in STEM+C learning environments Exploring Twitter as a social learning space for education scholars: An analysis of value‐added contributions to the #TPACK network Youths' relationship with culture: Tracing sixth graders' learning through designing culturally centred multimedia projects Seeking to support preservice teachers' responsive teaching: Leveraging artificial intelligence‐supported virtual simulation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1