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

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  • Omar A. Alismaiel

    (Educational Technologies Department, College of Education, King Faisal University, Alhasa 31982, Saudi Arabia)

Abstract

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.

Suggested Citation

  • Omar A. Alismaiel, 2021. "Using Structural Equation Modeling to Assess Online Learning Systems’ Educational Sustainability for University Students," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13565-:d:697476
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    References listed on IDEAS

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    4. Shailendra Palvia & Prageet Aeron & Parul Gupta & Diptiranjan Mahapatra & Ratri Parida & Rebecca Rosner & Sumita Sindhi, 2018. "Online Education: Worldwide Status, Challenges, Trends, and Implications," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 21(4), pages 233-241, October.
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    Cited by:

    1. Zhonggen Yu & Wei Xu & Liheng Yu, 2022. "Constructing an Online Sustainable Educational Model in COVID-19 Pandemic Environments," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    2. Zhigang Li & Yi Liu, 2023. "Analysis of the Current Situation of the Research on the Influencing Factors of Online Learning Behavior and Suggestions for Teaching Improvement," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    3. Uthman Alturki & Ahmed Aldraiweesh, 2022. "Students’ Perceptions of the Actual Use of Mobile Learning during COVID-19 Pandemic in Higher Education," Sustainability, MDPI, vol. 14(3), pages 1-17, January.
    4. Fang Wang & Tommy Tanu Wijaya & Akhmad Habibi & Yixuan Liu, 2022. "Predictors Influencing Urban and Rural Area students to Use Tablet Computers as Learning Tools: Combination of UTAUT and TTF Models," Sustainability, MDPI, vol. 14(21), pages 1-22, October.
    5. Mohd Shafie Rosli & Nor Shela Saleh & Azlah Md. Ali & Suaibah Abu Bakar & Lokman Mohd Tahir, 2022. "A Systematic Review of the Technology Acceptance Model for the Sustainability of Higher Education during the COVID-19 Pandemic and Identified Research Gaps," Sustainability, MDPI, vol. 14(18), pages 1-25, September.

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    Keywords

    TAM model; e-learning; BI; TTF fit; TEA;
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