技术接受模型
可用性
心理学
2019年冠状病毒病(COVID-19)
质量(理念)
解释力
人事变更率
大流行
高等教育
应用心理学
社会心理学
计算机科学
政治学
医学
经济
病理
管理
法学
传染病(医学专业)
哲学
认识论
疾病
人机交互
作者
Griffin Pitts,Viktoria Marcus,Sanaz Motamedi
出处
期刊:Human Factors
[SAGE Publishing]
日期:2025-09-04
卷期号:: 187208251372863-187208251372863
标识
DOI:10.1177/00187208251372863
摘要
Objective This study investigates students’ acceptance of e-learning during the COVID-19 pandemic, examining differences between voluntary and involuntary use contexts. Background During the COVID-19 pandemic, universities shifted to online instruction for an extended period. E-learning became mandatory to use and was met with varying degrees of acceptance by students, whose educational expectations and experiences were altered. By 2022, institutions began transitioning to optional e-learning use, creating a natural setting to examine technology acceptance under both voluntary and involuntary conditions. Method This study employed a two-phase approach, first validating an extended Technology Acceptance Model (TAM) incorporating seven factors derived from focus groups. Second, conducting multigroup analysis of acceptance between voluntary and involuntary users. Data was collected through surveys from 908 undergraduate students. Results PLS-SEM analysis revealed strong explanatory power ( R 2 = .463-.731) for the extended TAM framework. Compatibility demonstrated the strongest effect on perceived usefulness, while information quality and system quality influenced both perceived usefulness and ease of use. Multigroup analysis revealed significant contextual differences in students’ acceptance. Perceived ease of use more strongly influenced behavioral intention for voluntary users, while perceived usefulness had stronger effects for involuntary users. Conclusion The extended TAM framework significantly predicted e-learning acceptance in both voluntary and involuntary contexts. Significant differences between usage scenarios were identified, extending TAM’s applicability to crisis situations. Application This study provides insights for postpandemic educational technology implementation, emphasizing system quality and alignment with learning preferences. Practitioners should consider differences in adoption contexts when working to facilitate acceptance among both voluntary and mandatory users.
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