IDEAS home Printed from https://ideas.repec.org/a/eee/epplan/v92y2022ics0149718922000544.html
   My bibliography  Save this article

Preference analysis on the online learning attributes among senior high school students during the COVID-19 pandemic: A conjoint analysis approach

Author

Listed:
  • S. Ong, Ardvin Kester
  • Prasetyo, Yogi Tri
  • Chuenyindee, Thanatorn
  • Young, Michael Nayat
  • Doma, Bonifacio T.
  • Caballes, Dennis G.
  • Centeno, Raffy S.
  • Morfe, Anthony S.
  • Bautista, Christine S.

Abstract

The COVID-19 pandemic has resulted in the shift from face-to-face to fully online learning. The purpose of this study was to evaluate the preference of senior high school students on online learning attributes during the COVID-19 pandemic by utilizing a conjoint analysis approach. Six attributes which consist of delivery type, assigned tasks, evaluation, virtual laboratory, interface layout, and delivery platform were simultaneously analyzed through orthogonal design. A total of 1189 senior high school students were collected via purposive sampling approach through the social media platform. The respondents voluntarily participated and answered 29 stimuli with 2 holdouts generated by using SPSS 25 utilizing a 7-point Likert scale. The results indicated that evaluation was found to be the most significant attribute and followed by virtual laboratory, delivery type, and delivery platform. Interestingly, multiple choice evaluation, not requiring virtual laboratories, mixed delivery type (synchronous with recorded lectures), and MS Teams as delivery platform were considered as the keys for the preference. This study is the first study that utilized a conjoint approach to analyze the senior high school students’ preference on the online learning attributes during the COVID-19 pandemic. Finally, the conjoint approach can be applied and extended to evaluate the online learning attributes globally by utilizing the attributes and design created in this study.

Suggested Citation

  • S. Ong, Ardvin Kester & Prasetyo, Yogi Tri & Chuenyindee, Thanatorn & Young, Michael Nayat & Doma, Bonifacio T. & Caballes, Dennis G. & Centeno, Raffy S. & Morfe, Anthony S. & Bautista, Christine S., 2022. "Preference analysis on the online learning attributes among senior high school students during the COVID-19 pandemic: A conjoint analysis approach," Evaluation and Program Planning, Elsevier, vol. 92(C).
    • Handle: RePEc:eee:epplan:v:92:y:2022:i:c:s0149718922000544
    DOI: 10.1016/j.evalprogplan.2022.102100
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0149718922000544
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.evalprogplan.2022.102100?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gracía-Pérez, María Luisa & Gil-Lacruz, Marta, 2018. "The impact of a continuing training program on the perceived improvement in quality of health care delivered by health care professionals," Evaluation and Program Planning, Elsevier, vol. 66(C), pages 33-38.
    2. Schultze, Thomas & Mojzisch, Andreas & Schulz-Hardt, Stefan, 2012. "Why groups perform better than individuals at quantitative judgment tasks: Group-to-individual transfer as an alternative to differential weighting," Organizational Behavior and Human Decision Processes, Elsevier, vol. 118(1), pages 24-36.
    3. Nuncio, Rhoderick V. & Arcinas, Myla M. & Lucas, Rochelle Irene G. & Alontaga, Jasper Vincent Q. & Neri, Susan Grace T. & Carpena, Jose Mari, 2020. "An E-learning outreach program for public schools: Findings and lessons learned based on a pilot program in Makati City and Cabuyao City, Laguna, Philippines," Evaluation and Program Planning, Elsevier, vol. 82(C).
    4. Ardvin Kester S. Ong & Yogi Tri Prasetyo & Kerr Lorenzo Picazo & Kim Aaron Salvador & Bobby Ardiansyah Miraja & Yoshiki B. Kurata & Thanatorn Chuenyindee & Reny Nadlifatin & Anak Agung Ngurah Perwira , 2021. "Gym-Goers Preference Analysis of Fitness Centers during the COVID-19 Pandemic: A Conjoint Analysis Approach for Business Sustainability," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
    5. Pal, Debajyoti & Vanijja, Vajirasak, 2020. "Perceived usability evaluation of Microsoft Teams as an online learning platform during COVID-19 using system usability scale and technology acceptance model in India," Children and Youth Services Review, Elsevier, vol. 119(C).
    6. Yogi Tri Prasetyo & Ardvin Kester S. Ong & Giero Krissianne Frances Concepcion & Francheska Mikaela B. Navata & Raphael Andrei V. Robles & Isaiash Jeremy T. Tomagos & Michael Nayat Young & John Franci, 2021. "Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    7. Sethuraman, Raj & Kerin, Roger A. & Cron, William L., 2005. "A field study comparing online and offline data collection methods for identifying product attribute preferences using conjoint analysis," Journal of Business Research, Elsevier, vol. 58(5), pages 602-610, May.
    8. Ocampo, Lanndon & Yamagishi, Kafferine, 2020. "Modeling the lockdown relaxation protocols of the Philippine government in response to the COVID-19 pandemic: An intuitionistic fuzzy DEMATEL analysis," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    9. Mok, Min Seok & Sohn, So Young & Ju, Yong Han, 2010. "Conjoint analysis for intellectual property education," World Patent Information, Elsevier, vol. 32(2), pages 129-134, June.
    10. Motta, Matt, 2021. "Can a COVID-19 vaccine live up to Americans’ expectations? A conjoint analysis of how vaccine characteristics influence vaccination intentions," Social Science & Medicine, Elsevier, vol. 272(C).
    11. Ardvin Kester S. Ong & Yogi Tri Prasetyo & Michael Nayat Young & John Francis T. Diaz & Thanatorn Chuenyindee & Poonyawat Kusonwattana & Nattakit Yuduang & Reny Nadlifatin & Anak Agung Ngurah Perwira , 2021. "Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers," Sustainability, MDPI, vol. 13(15), pages 1-20, July.
    12. Chuenyindee, Thanatorn & Ong, Ardvin Kester S. & Ramos, Jon Pauline & Prasetyo, Yogi Tri & Nadlifatin, Reny & Kurata, Yoshiki B. & Sittiwatethanasiri, Thaninrat, 2022. "Public utility vehicle service quality and customer satisfaction in the Philippines during the COVID-19 pandemic," Utilities Policy, Elsevier, vol. 75(C).
    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. Maria Kathryne A. Illescas & Ardvin Kester S. Ong & Josephine D. German, 2023. "Online or Traditional Learning at the Near End of the Pandemic: Assessment of Students’ Intentions to Pursue Online Learning in the Philippines," Sustainability, MDPI, vol. 15(8), pages 1-24, April.
    2. Ma. Janice J. Gumasing & Ardvin Kester S. Ong & Maria Angelica D. Bare, 2022. "User Preference Analysis of a Sustainable Workstation Design for Online Classes: A Conjoint Analysis Approach," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    3. Ma. Janice J. Gumasing & Francee Mae F. Castro, 2023. "Determining Ergonomic Appraisal Factors Affecting the Learning Motivation and Academic Performance of Students during Online Classes," Sustainability, MDPI, vol. 15(3), pages 1-29, January.

    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. Ardvin Kester S. Ong & Yogi Tri Prasetyo & Michael Nayat Young & John Francis T. Diaz & Thanatorn Chuenyindee & Poonyawat Kusonwattana & Nattakit Yuduang & Reny Nadlifatin & Anak Agung Ngurah Perwira , 2021. "Students’ Preference Analysis on Online Learning Attributes in Industrial Engineering Education during the COVID-19 Pandemic: A Conjoint Analysis Approach for Sustainable Industrial Engineers," Sustainability, MDPI, vol. 13(15), pages 1-20, July.
    2. Ma. Janice J. Gumasing & Ardvin Kester S. Ong & Maria Angelica D. Bare, 2022. "User Preference Analysis of a Sustainable Workstation Design for Online Classes: A Conjoint Analysis Approach," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    3. Ardvin Kester S. Ong & Yogi Tri Prasetyo & Kerr Lorenzo Picazo & Kim Aaron Salvador & Bobby Ardiansyah Miraja & Yoshiki B. Kurata & Thanatorn Chuenyindee & Reny Nadlifatin & Anak Agung Ngurah Perwira , 2021. "Gym-Goers Preference Analysis of Fitness Centers during the COVID-19 Pandemic: A Conjoint Analysis Approach for Business Sustainability," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
    4. Ardvin Kester S. Ong & Jelline C. Cuales & Jose Pablo F. Custodio & Eisley Yuanne J. Gumasing & Paula Norlene A. Pascual & Ma. Janice J. Gumasing, 2023. "Investigating Preceding Determinants Affecting Primary School Students Online Learning Experience Utilizing Deep Learning Neural Network," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    5. Cliff R. Kikawa & Charity Kiconco & Moses Agaba & Dimas Ntirampeba & Amos Ssematimba & Billy M. Kalema, 2022. "Social Media Marketing for Small and Medium Enterprise Performance in Uganda: A Structural Equation Model," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    6. Rebeca Martínez-García & Fernando J. Fraile-Fernández & Gabriel Búrdalo-Salcedo & Ana María Castañón-García & María Fernández-Raga & Covadonga Palencia, 2022. "Satisfaction Level of Engineering Students in Face-to-Face and Online Modalities under COVID-19—Case: School of Engineering of the University of León, Spain," Sustainability, MDPI, vol. 14(10), pages 1-12, May.
    7. Emmanuel Olateju Oyatoye & Sulaimon Olanrewaju Adebiyi & Bilqis Bolanle Amole, 2013. "An Application of Conjoint Analysis to Consumer Preference for Beverage Products in Nigeria," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 9(6), pages 43-56, December.
    8. Danaf, Mazen & Atasoy, Bilge & de Azevedo, Carlos Lima & Ding-Mastera, Jing & Abou-Zeid, Maya & Cox, Nathaniel & Zhao, Fang & Ben-Akiva, Moshe, 2019. "Context-aware stated preferences with smartphone-based travel surveys," Journal of choice modelling, Elsevier, vol. 31(C), pages 35-50.
    9. Jiří Hnilica & Lorraine M. Uhlaner & Ondřej Machek & Ales Kubíček & Martin Lukeš & Martin Jurek & Petra Štamfestová, 2019. "The Role of Responsible Ownership and Family in Privately Held Firms with Multiple Owners: Preliminary Findings from the Czech Republic," Central European Business Review, Prague University of Economics and Business, vol. 2019(5), pages 1-17.
    10. Hanea, A.M. & McBride, M.F. & Burgman, M.A. & Wintle, B.C. & Fidler, F. & Flander, L. & Twardy, C.R. & Manning, B. & Mascaro, S., 2017. "I nvestigate D iscuss E stimate A ggregate for structured expert judgement," International Journal of Forecasting, Elsevier, vol. 33(1), pages 267-279.
    11. Julia A. Minson & Jennifer S. Mueller & Richard P. Larrick, 2018. "The Contingent Wisdom of Dyads: When Discussion Enhances vs. Undermines the Accuracy of Collaborative Judgments," Management Science, INFORMS, vol. 64(9), pages 4177-4192, September.
    12. Huang, Duen-Huang & Chueh, Hao-En, 2022. "Behavioral intention to continuously use learning apps: A comparative study from Taiwan universities," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    13. Ma. Janice J. Gumasing & Francee Mae F. Castro, 2023. "Determining Ergonomic Appraisal Factors Affecting the Learning Motivation and Academic Performance of Students during Online Classes," Sustainability, MDPI, vol. 15(3), pages 1-29, January.
    14. 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.
    15. Oh, Hyunjoo & Weitz, Barton & Lim, Jeremy, 2016. "Retail career attractiveness to college students: Connecting individual characteristics to the trade-off of job attributes," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 345-354.
    16. repec:cup:judgdm:v:14:y:2019:i:3:p:349-363 is not listed on IDEAS
    17. Nattakit Yuduang & Ardvin Kester S. Ong & Yogi Tri Prasetyo & Thanatorn Chuenyindee & Poonyawat Kusonwattana & Waranya Limpasart & Thaninrat Sittiwatethanasiri & Ma. Janice J. Gumasing & Josephine D. , 2022. "Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application “MorChana” in Thailand: UTAUT2 Approach," IJERPH, MDPI, vol. 19(9), pages 1-19, May.
    18. Haozhe Jiang & A. Y. M. Atiquil Islam & Xiaoqing Gu & Jonathan Michael Spector & Suting Chen, 2022. "Technology-Enabled E-Learning Platforms in Chinese Higher Education During the Pandemic Age of COVID-19," SAGE Open, , vol. 12(2), pages 21582440221, May.
    19. Huang, Chiou-Jye & Shen, Yamin & Kuo, Ping-Huan & Chen, Yung-Hsiang, 2022. "Novel spatiotemporal feature extraction parallel deep neural network for forecasting confirmed cases of coronavirus disease 2019," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    20. Marta Gil-Lacruz & María Luisa Gracia-Pérez & Ana Isabel Gil-Lacruz, 2019. "Learning by Doing and Training Satisfaction: An Evaluation by Health Care Professionals," IJERPH, MDPI, vol. 16(8), pages 1-13, April.
    21. Bojan Ćudić & Iwona Skrodzka, 2021. "‘Soft’ Support Infrastructure And The Performance Of Small And Medium-Sized Enterprises In European Countries," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 66(230), pages 67-100, July – Se.

    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:eee:epplan:v:92:y:2022:i:c:s0149718922000544. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/evalprogplan .

    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.