Mailizar Mailizar, Burg Damon, Maulina Suci
Mathematics Education Department, Universitas Syiah Kuala, 23111 Banda Aceh, Indonesia.
School of Education, Yong In University, Yongin, South Korea.
Educ Inf Technol (Dordr). 2021;26(6):7057-7077. doi: 10.1007/s10639-021-10557-5. Epub 2021 Apr 28.
This present study aims to investigate factors that impact behavioural intention of university students on e-learning use during the COVID-19 pandemic. An online questionnaire was utilised to gather data from 109 students enrolled in one of the universities in Indonesia. The Technology Acceptance Model (TAM) was the primary framework employed for analysis, in which system quality and e-learning experience were included as external constructs to seek out a much better model to improve the understanding of students' intention to adopt e-learning. An extended TAM model was developed and tested in this study. The model consists of six constructs: system quality, e-learning experience, perceived ease of use, perceived usefulness, attitude toward use, and behavioural intention. Structural Equation Modelling (SEM) and SMART PLS 3.0 software were applied for data analysis. The findings informed that the proposed model has been succefully explained factors university students use of e-learning during the pandemic in Indonesia. It suggested that attitude toward e-learning use was the most prominent construct to predict university students' behavioural intention to use e-learning during the pandemic. Finally, this study offers recommendations for future research and practices.
本研究旨在调查在新冠疫情期间影响大学生在线学习行为意向的因素。通过在线问卷从印度尼西亚一所大学的109名学生中收集数据。技术接受模型（TAM）是用于分析的主要框架，其中系统质量和在线学习体验作为外部构念纳入，以寻求更好的模型来增进对学生采用在线学习意向的理解。本研究开发并测试了一个扩展的TAM模型。该模型由六个构念组成：系统质量、在线学习体验、感知易用性、感知有用性、使用态度和行为意向。采用结构方程模型（SEM）和SMART PLS 3.0软件进行数据分析。研究结果表明，所提出的模型成功解释了印度尼西亚大学生在疫情期间使用在线学习的因素。研究表明，对在线学习使用的态度是预测大学生在疫情期间使用在线学习行为意向的最突出构念。最后，本研究为未来的研究和实践提供了建议。
