Trends on Using the Technology Acceptance Model (TAM) for Online Learning: A Bibliometric and Content Analysis

Hassan Abuhassna, N. Yahaya, M. A. Z. M. Zakaria, N. M. Zaid, N. A. Samah, Fareed Awae, Chee Ken Nee, Ahmad H. Alsharif
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引用次数: 7

Abstract

The technology acceptance model (TAM) is an information systems model that models how consumers use and accept technology. Scholars have implemented TAM widely to examine the effectiveness and ease of use of online learning. Therefore, this analysis comprehensively analyses TAM’s role in accepting online learning platforms by conducting bibliometric and content analysis based on the PRISMA framework. Insights into technology acceptance models were determined by bibliometrics analysis with VosViewer and content analysis. Methods: This study expanded all research from 2002 to 2020. A sum of 120 publications was analysed in January 2022 as documented in the Scopus database after applying the including and excluding criteria in addition to the manual evaluation. Results: This review’s findings identified the most compelling subjects covered by the journal. Most prolific countries, educational institutions, Journals, and authors were identified. Additionally, the results demonstrate several significant models for technology acceptance; several online learning environments were outlined (MOOC, Moodle, E-learning, flipped learning, and blended learning). Conclusion: The research presents a roadmap for potential researchers, concentrating on critical areas where success is possible. However, more research is required to utilize the TAM model and incorporate different online learning environments.
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技术接受模型(TAM)用于在线学习的趋势:文献计量学和内容分析
技术接受模型(TAM)是对消费者如何使用和接受技术进行建模的信息系统模型。学者们已经广泛地应用了TAM来检验在线学习的有效性和易用性。因此,本分析通过基于PRISMA框架的文献计量学和内容分析,全面分析TAM在接受在线学习平台中的作用。通过使用VosViewer进行文献计量学分析和内容分析,确定了对技术接受模型的见解。方法:本研究对2002年至2020年的所有研究进行了扩展。在应用了包括和排除标准以及人工评估之后,在2022年1月对Scopus数据库中记录的120份出版物进行了分析。结果:本综述的发现确定了该杂志涵盖的最引人注目的主题。确定了最多产的国家、教育机构、期刊和作者。此外,结果还展示了几个重要的技术接受模型;概述了几种在线学习环境(MOOC、Moodle、E-learning、翻转学习和混合学习)。结论:这项研究为潜在的研究人员提供了一个路线图,集中在可能成功的关键领域。然而,需要更多的研究来利用TAM模型并结合不同的在线学习环境。
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CiteScore
2.80
自引率
0.00%
发文量
120
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