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Higher Education in and after COVID-19: The Impact of Using Social Network Applications for E-Learning on Students’ Academic Performance

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  • Abu Elnasr E. Sobaih

    (Management Department, College of Business Administration, King Faial University, Al-Hassa 31982, Saudi Arabia
    Faculty of Tourism and Hotel Management, Helwan University, Cairo 12612, Egypt)

  • Ahmed Hasanein

    (Faculty of Tourism and Hotel Management, Helwan University, Cairo 12612, Egypt)

  • Ibrahim A. Elshaer

    (Management Department, College of Business Administration, King Faial University, Al-Hassa 31982, Saudi Arabia
    Faculty of Tourism and Hotel Management, Suez Canal University, Ismailia 41522, Egypt)

Abstract

The long-lasting pandemic has disrupted face–to–face education and has forced higher education institutions to adopt digital learning management systems, albeit many public universities in developing counties could not properly undertake this shift and adopted either free interactive platforms (e.g., zoom) or social network applications (SNAs) (e.g., Facebook and WhatsApp) due to their limited resources and infrastructure. Despite that the COVID-19 pandemic has emphasized the value of e-learning, some concerns were raised about the quality of learning outcomes and academic performance of students, using these SNAs for learning, compared to traditional face–to–face education. Therefore, examining the impact of SNAs as an e-learning platform on the academic performance students is inevitable, notwithstanding that this has not been sufficiently examined by researchers amid COVID-19. For this purpose, an online questionnaire was distributed to students via research teams’ personal networks, i.e., university lecturers at various public universities in Egypt. They were asked to distribute the survey link with their undergraduates via email or WhatsApp. A total of 600 valid questionnaires was obtained from students in nine public colleges that deliver tourism and hotel management courses in Egypt and adopted SNAs for e-learning at least one semester amid COVID-19. Unlike the results of previous arguments and research, the results of the structural equation modelling using AMOS showed a positive, significant impact of SNAs as e-learning platforms on students’ academic performance. The results have several implications for higher education policymakers, educators, and scholars, especially in relation to the future of use social media applications in higher education, particularly in developing countries’ contexts.

Suggested Citation

  • Abu Elnasr E. Sobaih & Ahmed Hasanein & Ibrahim A. Elshaer, 2022. "Higher Education in and after COVID-19: The Impact of Using Social Network Applications for E-Learning on Students’ Academic Performance," Sustainability, MDPI, vol. 14(9), pages 1-12, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5195-:d:801931
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    References listed on IDEAS

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    1. Abu Elnasr E. Sobaih & Amany E. Salem & Ahmed M. Hasanein & Ahmed E. Abu Elnasr, 2021. "Responses to COVID-19 in Higher Education: Students’ Learning Experience Using Microsoft Teams versus Social Network Sites," Sustainability, MDPI, vol. 13(18), pages 1-12, September.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Raza, Syed Ali & Qazi, Wasim & Shah, Nida & Qureshi, Muhammad Asif & Qaiser, Shahzad & Ali, Ramsha, 2020. "Drivers of intensive Facebook usage among university students: An implications of U&G and TPB theories," Technology in Society, Elsevier, vol. 62(C).
    4. Ming Yuan Hsieh, 2020. "The Most Sustainable Niche Principles of Social Media Education in A Higher Education Contracting Era," Sustainability, MDPI, vol. 12(1), pages 1-18, January.
    5. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    6. Mahdi M. Alamri & Mohammed Amin Almaiah & Waleed Mugahed Al-Rahmi, 2020. "Social Media Applications Affecting Students’ Academic Performance: A Model Developed for Sustainability in Higher Education," Sustainability, MDPI, vol. 12(16), pages 1-14, August.
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    Cited by:

    1. Ying Lian & Xiaofeng Lin & Xuefan Dong & Shengjie Hou, 2022. "A Normalized Rich-Club Connectivity-Based Strategy for Keyword Selection in Social Media Analysis," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    2. Abu Elnasr E. Sobaih & Ishfaq Ahmad Palla & Abdul Baquee, 2022. "Social Media Use in E-Learning amid COVID 19 Pandemic: Indian Students’ Perspective," IJERPH, MDPI, vol. 19(9), pages 1-12, April.
    3. Mohamed A. Shabeeb & Abu Elnasr E. Sobaih & Ibrahim A. Elshaer, 2022. "Examining Learning Experience and Satisfaction of Accounting Students in Higher Education before and amid COVID-19," IJERPH, MDPI, vol. 19(23), pages 1-12, December.
    4. Lavinia Cornelia Butum & Luminița Nicolescu & Sergiu Octavian Stan, 2022. "Developing Global Competences via University Internationalization Activities—A Comparative Analysis of Business Students’ Opinions before and during the COVID-19 Pandemic Crisis," Sustainability, MDPI, vol. 14(21), pages 1-30, November.
    5. Prioteasa Adina-Liliana & Ciocoiu Carmen Nadia & Lazăr Laurențiu & Minciu Mihaela, 2023. "E-Learning in Higher Education during the COVID-19 Pandemic: A Bibliometric Analysis," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1858-1872, July.

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