心理学
独创性
技术接受模型
结构方程建模
样品(材料)
计算机辅助网络访谈
情感(语言学)
高等教育
心理弹性
社会心理学
应用心理学
可用性
计算机科学
统计
数学
创造力
化学
人机交互
法学
沟通
色谱法
政治学
作者
Abhijit Sinha,Sudin Bag
出处
期刊:Journal of Applied Research in Higher Education
[Babeș-Bolyai University]
日期:2022-04-29
卷期号:15 (2): 369-391
被引量:30
标识
DOI:10.1108/jarhe-06-2021-0233
摘要
Purpose The study is done to investigate the factors that affect the intention of higher education students towards online education. The research also focuses on the importance of students' stability and students' resilience on perceived usefulness and perceived easiness of use that frame the attitude towards the intention to use online education. Design/methodology/approach Online survey method is employed using Google form link with a sample of 686 students of higher education. Excluding the outliers (univariate and multivariate), the final sample size (N = 679) considers the empirical results of the study. Partial least square structural equation modelling (PLS-SEM) is applied to unearth the relationship in the proposed research model of the study. Findings The empirical results indicate that perceived usefulness and perceived easiness of use have a direct impact on students' intention to use online education platform. Moreover, perceived usefulness and perceived easiness of use also have a positive influence on the students' attitude, which has a strong influence on students' intention to use online mode of education system. Also, students' stability and students' resilience have mixed impact on the level of perceived usefulness and perceived easiness of use that are the most useful determinants of attitude towards the intention to use online education. Research limitations/implications The study counts on the technology acceptance model (TAM) where constructs like behavioural controllability, past exposure and perceived accordance are not considered for measuring the intention of students in adapting to online education. Originality/value This paper employs the extended model of technology acceptance with additional determinants, namely, students' stability and students' resilience, to investigate the intention to use the online form of education as an alternative to the offline mode.
科研通智能强力驱动
Strongly Powered by AbleSci AI