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How the Education Industries React to Synchronous and Asynchronous Learning in COVID-19: Multigroup Analysis Insights for Future Online Education

Author

Listed:
  • Satria Fadil Persada

    (Entrepreneurship Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta 11480, Indonesia)

  • Yogi Tri Prasetyo

    (School of Industrial Engineering and Engineering Management, Mapua University, 658 Muralla St., Intramuros, Manila 1102, Philippines
    Department of Industrial Engineering and Management, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li 32003, Taiwan)

  • Xabitha Vanessa Suryananda

    (Department of Business Management, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111, Indonesia)

  • Bahalwan Apriyansyah

    (Department of Business Management, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111, Indonesia)

  • Ardvin K. S. Ong

    (School of Industrial Engineering and Engineering Management, Mapua University, 658 Muralla St., Intramuros, Manila 1102, Philippines)

  • Reny Nadlifatin

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

  • Etsa Astridya Setiyati

    (Entrepreneurship Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta 11480, Indonesia)

  • Raden Aditya Kristamtomo Putra

    (Entrepreneurship Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta 11480, Indonesia)

  • Agung Purnomo

    (Entrepreneurship Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta 11480, Indonesia)

  • Bigraf Triangga

    (Entrepreneurship Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta 11480, Indonesia)

  • Nazaria Jotur Siregar

    (Entrepreneurship Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta 11480, Indonesia)

  • Donna Carolina

    (Visual Communication Design Department, School of Design, Bina Nusantara University, Jakarta 11480, Indonesia)

  • Fairuz Iqbal Maulana

    (Computer, School of Computer Science, Bina Nusantara University, Jakarta 11480, Indonesia)

  • Bobby Ardiansyahmiraja

    (Department of Management, Faculty of Business and Economics, Universitas Surabaya, Surabaya 60293, Indonesia)

Abstract

The phenomenon of the COVID-19 pandemic requires prevention actions, such as social and physical distancing. In education, there is no choice but to adapt to online learning from traditional face-to-face learning. Online learning is divided into two approaches, namely synchronous and asynchronous learning. In practice, both synchronous and asynchronous learning have their respective advantages and disadvantages that can affect the efficiency and the effectiveness of online learning that are felt by students. The present study has analyzed students’ acceptance of synchronous learning and asynchronous learning by comparing the results of the two approaches that were used in educational institutions. Data from 162 respondents in the synchronous and 147 asynchronous online learning surveys were obtained through distributing online questionnaires. The present research utilized multigroup partial least square-structural equation modeling (PLS-SEM) for data analysis. The results indicate that students’ acceptance of synchronous online learning is influenced by the characteristics of the teachers, technological innovations, and the quality of the learning system. At the same time, the teacher characteristics, the organizational and technical support, technological innovations, and the trust affect the acceptance of asynchronous online learning. The R2 that was generated from the two groups was 58 percent and 62 percent for synchronous and asynchronous learning, respectively. The managerial implications that can be implemented are also described here in order to assist institutions in increasing the acceptance of synchronous and asynchronous online learning for future online education.

Suggested Citation

  • Satria Fadil Persada & Yogi Tri Prasetyo & Xabitha Vanessa Suryananda & Bahalwan Apriyansyah & Ardvin K. S. Ong & Reny Nadlifatin & Etsa Astridya Setiyati & Raden Aditya Kristamtomo Putra & Agung Purn, 2022. "How the Education Industries React to Synchronous and Asynchronous Learning in COVID-19: Multigroup Analysis Insights for Future Online Education," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15288-:d:976009
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    References listed on IDEAS

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    1. Zainudin Awang & Asyraf Afthanorhan & Mustafa Mamat, 2016. "The Likert scale analysis using parametric based Structural Equation Modeling (SEM)," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 4(1), pages 13-21, June.
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