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

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 whi...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023093/
https://www.ncbi.nlm.nih.gov/pubmed/35487051
http://dx.doi.org/10.1016/j.evalprogplan.2022.102100
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author 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.
author_facet 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.
author_sort S. Ong, Ardvin Kester
collection PubMed
description 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.
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spelling pubmed-90230932022-04-22 Preference analysis on the online learning attributes among senior high school students during the COVID-19 pandemic: A conjoint analysis approach 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. Eval Program Plann Article 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. Elsevier Ltd. 2022-06 2022-04-22 /pmc/articles/PMC9023093/ /pubmed/35487051 http://dx.doi.org/10.1016/j.evalprogplan.2022.102100 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
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.
Preference analysis on the online learning attributes among senior high school students during the COVID-19 pandemic: A conjoint analysis approach
title Preference analysis on the online learning attributes among senior high school students during the COVID-19 pandemic: A conjoint analysis approach
title_full Preference analysis on the online learning attributes among senior high school students during the COVID-19 pandemic: A conjoint analysis approach
title_fullStr Preference analysis on the online learning attributes among senior high school students during the COVID-19 pandemic: A conjoint analysis approach
title_full_unstemmed Preference analysis on the online learning attributes among senior high school students during the COVID-19 pandemic: A conjoint analysis approach
title_short Preference analysis on the online learning attributes among senior high school students during the COVID-19 pandemic: A conjoint analysis approach
title_sort preference analysis on the online learning attributes among senior high school students during the covid-19 pandemic: a conjoint analysis approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023093/
https://www.ncbi.nlm.nih.gov/pubmed/35487051
http://dx.doi.org/10.1016/j.evalprogplan.2022.102100
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