Exploring Factors Affecting Graduate Students' Satisfaction toward E-Learning in the Era of the COVID-19 Crisis

被引:43
|
作者
Mohammed, Lubna Ali [1 ]
Aljaberi, Musheer A. [2 ,3 ,4 ]
Amidi, Asra [1 ]
Abdulsalam, Rasheed [5 ]
Lin, Chung-Ying [6 ]
Hamat, Rukman Awang [7 ]
Abdallah, Atiyeh M. [8 ]
机构
[1] Lincoln Univ Coll, Fac Social Sci Arts & Humanities, Petaling Jaya 47301, Selangor, Malaysia
[2] Univ Putra Malaysia, Fac Med & Hlth Sci, Dept Community Hlth, Serdang 43400, Selangor, Malaysia
[3] Taiz Univ, Fac Med & Hlth Sci, Taizi 6803, Yemen
[4] Lincoln Univ Coll, Fac Nursing & Appl Sci, Petaling Jaya 47301, Selangor, Malaysia
[5] Lincoln Univ Coll, Fac Dent, Petaling Jaya 47301, Selangor, Malaysia
[6] Natl Cheng Kung Univ, Coll Med, Inst Allied Hlth Sci, Tainan 701, Taiwan
[7] Univ Putra Malaysia, Fac Med & Hlth Sci, Dept Med Microbiol, Serdang 43400, Selangor, Malaysia
[8] Qatar Univ, Coll Hlth Sci, Dept Biomed Sci, QU Hlth, Doha 2713, Qatar
关键词
e-learning; students' satisfaction; system quality; course evaluation; student factors; instructor performance; COVID-19; ONLINE EDUCATION; SERVICE QUALITY; INFORMATION; AWARENESS; OUTCOMES; COURSES; MODEL;
D O I
10.3390/ejihpe12080079
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Background: Shifting the educational system from a traditional to an online context during COVID-19 necessitated several considerations to assure students' satisfaction with e-learning. Aim: This study aims to explore the factors influencing students' satisfaction with e-learning during the COVID-19 crisis. In particular, it tests multiple mediations, student factors, and system quality between students' satisfaction and each course evaluation and instructor's performance. Methodology: In this cross-sectional study, 258 undergraduate and postgraduate students enrolled in online courses at multiple Malaysian universities were recruited using non-probabilistic purposive sampling. Data were collected using a questionnaire that assessed four factors that influenced students' satisfaction with e-learning during the COVID-19 crisis (i.e., instructor performance, course evaluation, student factors, and system quality) and analyzed using the partial least squares route structural equation modelling (PLS-SEM). Results: The results indicated that the four factors were significantly associated with students' satisfaction with e-learning during COVID-19. Student factors and system quality were the most factors predicting students' satisfaction with e-learning. Findings indicate statistically significant relationships between the instructor's performance, student factors, course evaluation, and system quality on students' satisfaction. Furthermore, the results depict that both course evaluation and system quality serially mediate the relationship between instructors' performance and students' satisfaction. Conclusion: This study finds that improving and enhancing student factors and system quality is critical for students' satisfaction with e-learning. Furthermore, e-learning platforms should contain new advances of computer-mediated technologies that enable collaboration, which is a critical factor in the success of e-learning systems.
引用
收藏
页码:1121 / 1142
页数:22
相关论文
共 50 条