Using Structural Equation Modeling to Assess Online Learning Systems' Educational Sustainability for University Students

被引:25
作者
Alismaiel, Omar A. [1 ]
机构
[1] King Faisal Univ, Educ Technol Dept, Coll Educ, Al Hasa 31982, Saudi Arabia
关键词
TAM model; e-learning; BI; TTF fit; TEA; TECHNOLOGY ACCEPTANCE MODEL; INFORMATION-TECHNOLOGY; BEHAVIORAL INTENTION; PERCEIVED USEFULNESS; MANAGEMENT-SYSTEMS; USER ACCEPTANCE; ADOPTION; ENGAGEMENT; VARIABLES; USAGE;
D O I
10.3390/su132413565
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The purpose of this study was to investigate the factors that influence the use of e-learning among students in higher education during the Corona Virus disease, during the 2019 season (COVID-19). A poll of 395 students from the student's university was used to conduct the research. The study's theoretical foundation was an expanded Technology Acceptance Model (TAM), which included task-technology fit and students' engagement, as well as external elements such as experience (EXP), technology anxiety (TEA), and facilitating conditions (FC). The suggested model was tested and evaluated using SEM-PLS. The investigation demonstrated that the suggested TAM-based scale effectively describes factors impacting students' use of E-learning during the pandemic. According to the findings, students' engagement (SEN), EXP, TEA, and FC have a favorable impact on task-technology fit (TTF) and perceived ease of use (PEOU), resulting in a good impact on TTF and usage of an e-learning system for educational sustainability (EA). Finally, the TTF fit and convenience of use of eLearning in education have a positive impact on the behavioral intention to use an e-learning system for educational sustainability and the adoption process. As a result, higher education institutions should use eLearning as a sustainability learning strategy.
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页数:18
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