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The Perceived Satisfaction in Utilizing Learning Management System among Engineering Students during the COVID-19 Pandemic: Integrating Task Technology Fit and Extended Technology Acceptance Model

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  • Maricar M. Navarro

    (School of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines
    School of Graduate Studies, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines
    Department of Industrial Engineering, Technological Institute of the Philippines Quezon City, 938 Aurora Blvd, Cubao, Quezon City 1109, Metro Manila, Philippines)

  • Yogi Tri Prasetyo

    (School of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines)

  • Michael Nayat Young

    (School of Industrial Engineering and Engineering Management, Mapúa University, 658 Muralla St., Intramuros, Manila 1002, Philippines)

  • Reny Nadlifatin

    (Department of Information Systems, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111, Indonesia)

  • Anak Agung Ngurah Perwira Redi

    (Industrial Engineering Department, BINUS Graduate Program–Master of Industrial Engineering, Bina Nusantara University, Jakarta 11480, Indonesia)

Abstract

Online education has become the norm for higher education institutions (HEIs) during this COVID-19 pandemics. HEIs are required to implement a fully online learning system that is structured and readily accessible with the assistance of a learning management system (LMS), including in developing countries such as the Philippines. This study aims to assess factors that positively influence the perceived satisfaction of engineering students when using the LMS during the COVID-19 pandemic in the Philippines. Additionally, it aims to integrate two models: Task Technology Fit (TTF) and Technology Acceptance Model (TAM), with added variables such as the content of the learning management system, social presence, and social space. Upon deploying the convenience sampling, a total of 1011 engineering students responded in the online survey, which consisted of 81 questions. Structural equation modeling (SEM) showed that the Task Technology Fit was positively influenced by technology, individual, and task characteristics. Moreover, behavioral intention to use LMS was positively influenced by perceived usefulness and perceived ease of use. Furthermore, Task Technology Fit had a significant direct effect on behavioral intention to use LMS, which subsequently led to perceived satisfaction. This study is among the first to explore factors affecting perceived satisfaction among engineering students in using the LMS in the Philippines during the COVID-19 pandemic. To evaluate the perceived satisfaction of students in using the learning management system, future works can be extended and the model can be applied in other countries.

Suggested Citation

  • Maricar M. Navarro & Yogi Tri Prasetyo & Michael Nayat Young & Reny Nadlifatin & Anak Agung Ngurah Perwira Redi, 2021. "The Perceived Satisfaction in Utilizing Learning Management System among Engineering Students during the COVID-19 Pandemic: Integrating Task Technology Fit and Extended Technology Acceptance Model," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10669-:d:643265
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    References listed on IDEAS

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    5. Renjie Song & Yaru Zheng, 2024. "Predicting Continuance Intention to Use Learning Management Systems among Undergraduates: The Moderating Effect of Intrinsic Motivation," SAGE Open, , vol. 14(3), pages 21582440241, August.
    6. Fan Zhang & Jianbo Pang & Yanlong Guo & Yelin Zhu & Han Zhang, 2023. "A Study of Factors Influencing the Use of the DingTalk Online Lecture Platform in the Context of the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(9), pages 1-17, April.
    7. Peijie Jiang & Tommy Tanu Wijaya & Mailizar Mailizar & Zulfah Zulfah & Astuti Astuti, 2022. "How Micro-Lectures Improve Learning Satisfaction and Achievement: A Combination of ECM and Extension of TAM Models," Mathematics, MDPI, vol. 10(19), pages 1-19, September.
    8. Uthman Alturki & Ahmed Aldraiweesh, 2022. "Adoption of Google Meet by Postgraduate Students: The Role of Task Technology Fit and the TAM Model," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
    9. Ma. Janice J. Gumasing & Ron Fourier B. Alonzo & Jose Mari V. Nazareno & Ken Lance D. Guinto, 2023. "Antecedents of Cloud Gaming Acceptance among Gen Z: Achieving Sustainability in the Digital Gaming Industry," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
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