Students' Behavioural Intention towards Adoption of Online Education: A Study of the Extended UTAUT Model

Q3 Social Sciences Journal of Learning for Development Pub Date : 2023-11-17 DOI:10.56059/jl4d.v10i3.949
M. M. Tahir
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Abstract

Online education (o-education) is gaining significant attention from education providers, students, and policy makers. This research explored students’ behaviours and intentions towards online education. The present research utilised the Unified Theory of Acceptance and Use of Technology (UTAUT) as a model to investigate these intentions and behaviours. The study incorporated UTAUT predictors along with three additional independent variables. This study adopted a cross-sectional design and used a closed-end questionnaire to collect data from 403 respondents. The data were analysed with SPSS and AMOS by utilising structural equation modeling (SEM) techniques. The results of the SEM analysis indicate that perceived value (PV) and convenience (Cnv) have positive influences on behavioural intention (BI), while perceived risk has a negative impact on behavioural intention (BI). Additionally, facilitating conditions (FC) and behavioural intention (BI) are found to positively influence use behavior (UB). The research findings suggest that demographics, including age, education and gender, influence behavioural intention (BI). The findings of the study have theoretical and practical implications, which are elaborated in the last section of this article.
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学生采用在线教育的行为意向:UTAUT扩展模型研究
在线教育(o-education)越来越受到教育机构、学生和政策制定者的关注。本研究探讨了学生对在线教育的行为和意向。本研究利用 "接受和使用技术统一理论"(UTAUT)作为研究这些意向和行为的模型。研究纳入了UTAUT预测因素和另外三个自变量。本研究采用横断面设计,使用封闭式问卷向 403 名受访者收集数据。利用结构方程建模(SEM)技术,使用 SPSS 和 AMOS 对数据进行了分析。SEM 分析结果表明,感知价值(PV)和便利性(Cnv)对行为意向(BI)有积极影响,而感知风险对行为意向(BI)有消极影响。此外,研究还发现便利条件(FC)和行为意向(BI)对使用行为(UB)有积极影响。研究结果表明,年龄、教育程度和性别等人口统计学因素会影响行为意向(BI)。研究结果具有理论和实践意义,本文最后一节将对此进行阐述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Learning for Development
Journal of Learning for Development Social Sciences-Education
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
24 weeks
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