IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i5p3066-d765277.html
   My bibliography  Save this article

Factors in Evaluating Online Learning in Higher Education in the Era of a New Normal Derived from an Analytic Hierarchy Process (AHP) Based Survey in South Korea

Author

Listed:
  • Yoon Y. Cho

    (College of Liberal Arts and Interdisciplinary Studies, Kyonggi University, Suwon 16227, Korea)

  • Hyunju Woo

    (College of Liberal Arts and Interdisciplinary Studies, Kyonggi University, Suwon 16227, Korea)

Abstract

Before COVID-19, online learning in higher education was more of a choice than a requirement. The majority of universities in South Korea are currently not utilizing an evaluation index tailored specifically to online courses and are instead using the traditional in-person class evaluation standards. The study, hence, examines the factors that could be used to evaluate the quality of online learning in higher education taking place due to the COVID-19 pandemic from the point of views of the main subjects of online education: e-learning system administrators, instructors, and students. The analytical hierarchy process (AHP) method was used to determine the relative importance of factors in evaluating online learning. The conclusions derived from this research can be used as foundational material for evaluation factors of online learning in higher education.

Suggested Citation

  • Yoon Y. Cho & Hyunju Woo, 2022. "Factors in Evaluating Online Learning in Higher Education in the Era of a New Normal Derived from an Analytic Hierarchy Process (AHP) Based Survey in South Korea," Sustainability, MDPI, vol. 14(5), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:3066-:d:765277
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/5/3066/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/5/3066/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. -, 2020. "Education in the time of COVID-19," Coediciones, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 45905 edited by Eclac.
    2. repec:ecr:col016:45905 is not listed on IDEAS
    3. Hemanta Doloi, 2008. "Application of AHP in improving construction productivity from a management perspective," Construction Management and Economics, Taylor & Francis Journals, vol. 26(8), pages 841-854.
    4. May Portuguez Castro & Marcela Georgina Gómez Zermeño, 2020. "Challenge Based Learning: Innovative Pedagogy for Sustainability through e-Learning in Higher Education," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    5. Thomas Saaty & Luis Vargas, 2012. "The possibility of group choice: pairwise comparisons and merging functions," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 38(3), pages 481-496, March.
    6. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    7. May Portuguez Castro & Carlos Ross Scheede & Marcela Georgina Gómez Zermeño, 2019. "The Impact of Higher Education on Entrepreneurship and the Innovation Ecosystem: A Case Study in Mexico," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jincang Yang & Xueqin Dong & Sishi Liu, 2022. "Safety Risks of Primary and Secondary Schools in China: A Systematic Analysis Using AHP–EWM Method," Sustainability, MDPI, vol. 14(13), pages 1-15, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ai-Hsuan Chiang & Silvana Trimi & Tun-Chih Kou, 2024. "Critical Factors for Implementing Smart Manufacturing: A Supply Chain Perspective," Sustainability, MDPI, vol. 16(22), pages 1-21, November.
    2. Sasaki, Yasuo, 2023. "Strategic manipulation in group decisions with pairwise comparisons: A game theoretical perspective," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1133-1139.
    3. Moreno-Jiménez, Jose María & Vargas, Luis G., 2018. "Cognitive Multiple Criteria Decision Making and the Legacy of the Analytic Hierarchy Process/Decisión Multicriterio Cognitiva y el Legado del Proceso Analítico Jerárquico," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 36, pages 67-80, Enero.
    4. Bice Cavallo & Livia D’Apuzzo & Gaetano Vitale, 2018. "Reformulating Arrow’s Conditions in Terms of Cardinal Pairwise Comparison Matrices Defined Over a General Framework," Group Decision and Negotiation, Springer, vol. 27(1), pages 107-127, February.
    5. Reza Banai, 2010. "Evaluation of land use-transportation systems with the Analytic Network Process," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 85-112.
    6. Pishchulov, Grigory & Trautrims, Alexander & Chesney, Thomas & Gold, Stefan & Schwab, Leila, 2019. "The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 211(C), pages 166-179.
    7. Seung-Jin Han & Won-Jae Lee & So-Hee Kim & Sang-Hoon Yoon & Hyunwoong Pyun, 2022. "Assessing Expected Long-term Benefits for the Olympic Games: Delphi-AHP Approach from Korean Olympic Experts," SAGE Open, , vol. 12(4), pages 21582440221, December.
    8. Kamila Hodasová & Dávid Krčmář & Ivana Ondrejková, 2025. "Satellite-based drought assessment: integrating AHP method and fuzzy logic for comprehensive vulnerability and risk analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(10), pages 11609-11632, June.
    9. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    10. V. Srinivasan & G. Shainesh & Anand K. Sharma, 2015. "An approach to prioritize customer-based, cost-effective service enhancements," The Service Industries Journal, Taylor & Francis Journals, vol. 35(14), pages 747-762, October.
    11. Mónica García-Melón & Blanca Pérez-Gladish & Tomás Gómez-Navarro & Paz Mendez-Rodriguez, 2016. "Assessing mutual funds’ corporate social responsibility: a multistakeholder-AHP based methodology," Annals of Operations Research, Springer, vol. 244(2), pages 475-503, September.
    12. Panagiotis Ravanos & Giannis Karagiannis, 2023. "Correction: A VEA Benefit-of-the-Doubt Model for the HDI," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 170(2), pages 793-796, November.
    13. P. Giovani Palafox-Alcantar & Dexter V. L. Hunt & Chris D. F. Rogers, 2020. "A Hybrid Methodology to Study Stakeholder Cooperation in Circular Economy Waste Management of Cities," Energies, MDPI, vol. 13(7), pages 1-30, April.
    14. Luis Pérez-Domínguez & Luis Alberto Rodríguez-Picón & Alejandro Alvarado-Iniesta & David Luviano Cruz & Zeshui Xu, 2018. "MOORA under Pythagorean Fuzzy Set for Multiple Criteria Decision Making," Complexity, Hindawi, vol. 2018, pages 1-10, April.
    15. Paul L. G. Vlek & Asia Khamzina & Hossein Azadi & Anik Bhaduri & Luna Bharati & Ademola Braimoh & Christopher Martius & Terry Sunderland & Fatemeh Taheri, 2017. "Trade-Offs in Multi-Purpose Land Use under Land Degradation," Sustainability, MDPI, vol. 9(12), pages 1-19, November.
    16. Kumar B, Pradeep, 2021. "Changing Objectives of Firms and Managerial Preferences: A Review of Models in Microeconomics," MPRA Paper 106967, University Library of Munich, Germany, revised 13 Mar 2021.
    17. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2018. "σ-µ efficiency analysis: A new methodology for evaluating units through composite indices," MPRA Paper 83569, University Library of Munich, Germany.
    18. Anirban Mukhopadhyay & Sugata Hazra & Debasish Mitra & C. Hutton & Abhra Chanda & Sandip Mukherjee, 2016. "Characterizing the multi-risk with respect to plausible natural hazards in the Balasore coast, Odisha, India: a multi-criteria analysis (MCA) appraisal," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1495-1513, February.
    19. Chamoli, Sunil, 2015. "Hybrid FAHP (fuzzy analytical hierarchy process)-FTOPSIS (fuzzy technique for order preference by similarity of an ideal solution) approach for performance evaluation of the V down perforated baffle r," Energy, Elsevier, vol. 84(C), pages 432-442.
    20. H. S. C. Perera & W. K. R. Costa, 2008. "Analytic Hierarchy Process for Selection of Erp Software for Manufacturing Companies," Vision, , vol. 12(4), pages 1-11, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:3066-:d:765277. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.