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School and Teacher Information, Communication and Technology (ICT) readiness across 57 countries: The alignment optimization method

This study investigated the measurement invariance of school and teacher Information, Communication and Technology (ICT) readiness among 57 countries that participated in the Program in International Student Assessment (PISA) 2018 assessment. School and teacher ICT readiness scale is 11-item scale w...

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Detalles Bibliográficos
Autores principales: Wu, Rongxiu, Yang, Weipeng, Rifenbark, Graham, Wu, Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309234/
https://www.ncbi.nlm.nih.gov/pubmed/35912039
http://dx.doi.org/10.1007/s10639-022-11233-y
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author Wu, Rongxiu
Yang, Weipeng
Rifenbark, Graham
Wu, Quan
author_facet Wu, Rongxiu
Yang, Weipeng
Rifenbark, Graham
Wu, Quan
author_sort Wu, Rongxiu
collection PubMed
description This study investigated the measurement invariance of school and teacher Information, Communication and Technology (ICT) readiness among 57 countries that participated in the Program in International Student Assessment (PISA) 2018 assessment. School and teacher ICT readiness scale is 11-item scale with two subfactors: school ICT readiness and teacher ICT readiness subscales (Bozkus, International Online Journal of Education and Teaching, 8(3), 1560–1579, 2021). With the novel alignment optimization method, we revealed that the school ICT readiness subscale was invariant for unbiased country comparisons but overall noninvariance was identified for the teacher ICT readiness subscale. Additionally, the rank of the school ICT readiness factor means indicated that Singapore, Sweden, B-S-J-Z (regions of China), United Arab Emirates and United States were among the top league, while countries like Indonesia, Poland, Ireland in between, and Japan, Mexico, Colombia, Argentina and Brazil ranked comparatively the lowest. Measures of school location, school type and class size further confirmed the validity of the school ICT readiness subscale. It was expected that the study would enhance our understanding of school and teacher ICT readiness across countries with the application of an alternative alignment optimization approach in examining ICT related scales.
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spelling pubmed-93092342022-07-25 School and Teacher Information, Communication and Technology (ICT) readiness across 57 countries: The alignment optimization method Wu, Rongxiu Yang, Weipeng Rifenbark, Graham Wu, Quan Educ Inf Technol (Dordr) Article This study investigated the measurement invariance of school and teacher Information, Communication and Technology (ICT) readiness among 57 countries that participated in the Program in International Student Assessment (PISA) 2018 assessment. School and teacher ICT readiness scale is 11-item scale with two subfactors: school ICT readiness and teacher ICT readiness subscales (Bozkus, International Online Journal of Education and Teaching, 8(3), 1560–1579, 2021). With the novel alignment optimization method, we revealed that the school ICT readiness subscale was invariant for unbiased country comparisons but overall noninvariance was identified for the teacher ICT readiness subscale. Additionally, the rank of the school ICT readiness factor means indicated that Singapore, Sweden, B-S-J-Z (regions of China), United Arab Emirates and United States were among the top league, while countries like Indonesia, Poland, Ireland in between, and Japan, Mexico, Colombia, Argentina and Brazil ranked comparatively the lowest. Measures of school location, school type and class size further confirmed the validity of the school ICT readiness subscale. It was expected that the study would enhance our understanding of school and teacher ICT readiness across countries with the application of an alternative alignment optimization approach in examining ICT related scales. Springer US 2022-07-25 2023 /pmc/articles/PMC9309234/ /pubmed/35912039 http://dx.doi.org/10.1007/s10639-022-11233-y Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Wu, Rongxiu
Yang, Weipeng
Rifenbark, Graham
Wu, Quan
School and Teacher Information, Communication and Technology (ICT) readiness across 57 countries: The alignment optimization method
title School and Teacher Information, Communication and Technology (ICT) readiness across 57 countries: The alignment optimization method
title_full School and Teacher Information, Communication and Technology (ICT) readiness across 57 countries: The alignment optimization method
title_fullStr School and Teacher Information, Communication and Technology (ICT) readiness across 57 countries: The alignment optimization method
title_full_unstemmed School and Teacher Information, Communication and Technology (ICT) readiness across 57 countries: The alignment optimization method
title_short School and Teacher Information, Communication and Technology (ICT) readiness across 57 countries: The alignment optimization method
title_sort school and teacher information, communication and technology (ict) readiness across 57 countries: the alignment optimization method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309234/
https://www.ncbi.nlm.nih.gov/pubmed/35912039
http://dx.doi.org/10.1007/s10639-022-11233-y
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