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Using Structural Equation Modeling to Assess Online Learning Systems' Educational Sustainability for University Students
| Content Provider | MDPI |
|---|---|
| Author | Alismaiel, Omar A. |
| Copyright Year | 2021 |
| Description | 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. |
| Starting Page | 13565 |
| e-ISSN | 20711050 |
| DOI | 10.3390/su132413565 |
| Journal | Sustainability |
| Issue Number | 24 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-12-08 |
| Access Restriction | Open |
| Subject Keyword | Sustainability Information and Library Science Tam Model E-learning Ttf Fit Tea |
| Content Type | Text |
| Resource Type | Article |
