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Understanding online assessment continuance intention and individual performance by integrating task technology fit and expectancy confirmation theory

This study delves into online assessments, focusing on their numerous advantages, including reducing paper usage and alleviating concerns surrounding the security of traditional examinations. The purpose of this study was to develop and test a model delineating the interplay between factors influenc...

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Autores principales: M Ayyoub, Abed Alkarim, Abu Eidah, Belal Ahmad, Khlaif, Zuheir N., Ahmad EL-Shamali, Mahmoud, Sulaiman, Mohammed Rajeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694171/
http://dx.doi.org/10.1016/j.heliyon.2023.e22068
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author M Ayyoub, Abed Alkarim
Abu Eidah, Belal Ahmad
Khlaif, Zuheir N.
Ahmad EL-Shamali, Mahmoud
Sulaiman, Mohammed Rajeh
author_facet M Ayyoub, Abed Alkarim
Abu Eidah, Belal Ahmad
Khlaif, Zuheir N.
Ahmad EL-Shamali, Mahmoud
Sulaiman, Mohammed Rajeh
author_sort M Ayyoub, Abed Alkarim
collection PubMed
description This study delves into online assessments, focusing on their numerous advantages, including reducing paper usage and alleviating concerns surrounding the security of traditional examinations. The purpose of this study was to develop and test a model delineating the interplay between factors influencing the continuance intention to use online assessments and the influence on individual performance. A quantitative approach using an online survey was used to collect data from 222 graduate students from three major Palestinian universities. The research instrument was developed based on the finding of previous studies. Confirmatory factor analysis was employed to construct and validate the proposed model. The findings of this study revealed that perceived usefulness has a significant influence on the intention to continue using online assessment. The proposed model indicated that there is no direct or indirect relationship between perceived ease of use and the continuance intention to use online assessment. The main limitation of this study was its reliance on a purely quantitative approach. Therefore, a sequentional mixed methods approach van be a suggestion for future research and include all the higher education institutions in the Palestinian context.
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spelling pubmed-106941712023-12-05 Understanding online assessment continuance intention and individual performance by integrating task technology fit and expectancy confirmation theory M Ayyoub, Abed Alkarim Abu Eidah, Belal Ahmad Khlaif, Zuheir N. Ahmad EL-Shamali, Mahmoud Sulaiman, Mohammed Rajeh Heliyon Review Article This study delves into online assessments, focusing on their numerous advantages, including reducing paper usage and alleviating concerns surrounding the security of traditional examinations. The purpose of this study was to develop and test a model delineating the interplay between factors influencing the continuance intention to use online assessments and the influence on individual performance. A quantitative approach using an online survey was used to collect data from 222 graduate students from three major Palestinian universities. The research instrument was developed based on the finding of previous studies. Confirmatory factor analysis was employed to construct and validate the proposed model. The findings of this study revealed that perceived usefulness has a significant influence on the intention to continue using online assessment. The proposed model indicated that there is no direct or indirect relationship between perceived ease of use and the continuance intention to use online assessment. The main limitation of this study was its reliance on a purely quantitative approach. Therefore, a sequentional mixed methods approach van be a suggestion for future research and include all the higher education institutions in the Palestinian context. Elsevier 2023-11-14 /pmc/articles/PMC10694171/ http://dx.doi.org/10.1016/j.heliyon.2023.e22068 Text en © 2023 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
M Ayyoub, Abed Alkarim
Abu Eidah, Belal Ahmad
Khlaif, Zuheir N.
Ahmad EL-Shamali, Mahmoud
Sulaiman, Mohammed Rajeh
Understanding online assessment continuance intention and individual performance by integrating task technology fit and expectancy confirmation theory
title Understanding online assessment continuance intention and individual performance by integrating task technology fit and expectancy confirmation theory
title_full Understanding online assessment continuance intention and individual performance by integrating task technology fit and expectancy confirmation theory
title_fullStr Understanding online assessment continuance intention and individual performance by integrating task technology fit and expectancy confirmation theory
title_full_unstemmed Understanding online assessment continuance intention and individual performance by integrating task technology fit and expectancy confirmation theory
title_short Understanding online assessment continuance intention and individual performance by integrating task technology fit and expectancy confirmation theory
title_sort understanding online assessment continuance intention and individual performance by integrating task technology fit and expectancy confirmation theory
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694171/
http://dx.doi.org/10.1016/j.heliyon.2023.e22068
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