The Unified Theory of Acceptance and Use of Technology (UTAUT) in Higher Education: A Systematic Review

被引:3
|
作者
Xue, Liangyong [1 ]
Rashid, Abdullah Mat [1 ,2 ]
Ouyang, Sha [1 ]
机构
[1] Univ Putra Malaysia, Serdang, Malaysia
[2] Univ Putra Malaysia, Fac Educ Studies, Dept Sci & Tech Educ, Serdang 43400, Selangor, Malaysia
来源
SAGE OPEN | 2024年 / 14卷 / 01期
关键词
UTAUT; higher education; technology acceptance; technology adoption; mobile learning; behavioral intention; MOBILE LEARNING ADOPTION; EMPIRICAL-EXAMINATION; BEHAVIORAL INTENTION; STUDENTS ACCEPTANCE; MODEL; PERCEPTIONS; TEACHERS; DETERMINANTS; METAANALYSIS;
D O I
10.1177/21582440241229570
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
This systematic review evaluates the application of the Unified Theory of Acceptance and Use of Technology (UTAUT) model in higher education, analyzing 162 SSCI/SCI-E articles from 2008 to 2022. It reveals a predominant focus on student participants from Asia and North America. Mobile learning tools are the most studied technologies. Surveys continue to be the top data gathering method, while structural equation modeling is preferred for analysis. The Technology Acceptance Model is combined most with UTAUT. UTAUT testing shows performance expectancy has the strongest sway on behavioral intention. Additionally, the review underscores nuanced variances in the impact of UTAUT factors between higher education and general contexts. The study calls for future UTAUT applications must promote inclusive research spanning diverse groups, mixed methodologies and theoretical perspectives. This comprehensive approach is imperative to fully understand technology adoption patterns in higher education and enable context-specific integration strategies. The Unified Theory of Acceptance and Use of Technology (UTAUT) in Higher Education: A Systematic ReviewThis review explores if the Unified Theory of Acceptance and Use of Technology (UTAUT) effectively predicts technology adoption in higher education settings. It reveals a predominant focus on student participants from Asia and North America. Mobile learning tools are the most studied technologies. Surveys continue to be the top data gathering method, while structural equation modeling is preferred for analysis. The Technology Acceptance Model is combined most with UTAUT. UTAUT testing shows performance expectancy has the strongest sway on behavioral intention. The findings provide valuable input on integrating new education technologies. The study calls for future UTAUT applications must promote inclusive research spanning diverse groups, mixed methodologies and theoretical perspectives. This comprehensive approach is imperative to fully understand technology adoption patterns in higher education and enable context-specific integration strategies.
引用
收藏
页数:22
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