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Antecedents of adolescent students’ ICT self-efficacy: The ICT dataset

Based on the Programme for International Student Assessment (PISA) 2015 dataset, the information and communication technology (ICT) dataset focuses specifically on ICT-related constructs in the context of educational technology. It includes a wide range of student-level variables collected from 30 E...

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Detalles Bibliográficos
Autores principales: Chen, Xueliang, Hu, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644865/
https://www.ncbi.nlm.nih.gov/pubmed/33195767
http://dx.doi.org/10.1016/j.dib.2020.106437
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author Chen, Xueliang
Hu, Jie
author_facet Chen, Xueliang
Hu, Jie
author_sort Chen, Xueliang
collection PubMed
description Based on the Programme for International Student Assessment (PISA) 2015 dataset, the information and communication technology (ICT) dataset focuses specifically on ICT-related constructs in the context of educational technology. It includes a wide range of student-level variables collected from 30 Economic Co-operation and Development (OECD) countries, which pertain to students’ motivational and behavioural characteristics in relation to their ICT self-efficacy. In total, it comprises 201, 652 students from 7708 schools. As technology has become an integral component of education, the ICT dataset can serve as a handy resource for studying ICT-related constructs. Besides, the ICT dataset holds advantages over the original PISA dataset for its intensive focus and easy readability. With this important resource, researchers can undertake their own research in the neighbouring fields of ICT, developing their own theories or validating existing theoretical frameworks and statements. The focus of this study is to identify the antecedents of adolescent students’ ICT self-efficacy and illuminate potential mechanisms at work.
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spelling pubmed-76448652020-11-13 Antecedents of adolescent students’ ICT self-efficacy: The ICT dataset Chen, Xueliang Hu, Jie Data Brief Data Article Based on the Programme for International Student Assessment (PISA) 2015 dataset, the information and communication technology (ICT) dataset focuses specifically on ICT-related constructs in the context of educational technology. It includes a wide range of student-level variables collected from 30 Economic Co-operation and Development (OECD) countries, which pertain to students’ motivational and behavioural characteristics in relation to their ICT self-efficacy. In total, it comprises 201, 652 students from 7708 schools. As technology has become an integral component of education, the ICT dataset can serve as a handy resource for studying ICT-related constructs. Besides, the ICT dataset holds advantages over the original PISA dataset for its intensive focus and easy readability. With this important resource, researchers can undertake their own research in the neighbouring fields of ICT, developing their own theories or validating existing theoretical frameworks and statements. The focus of this study is to identify the antecedents of adolescent students’ ICT self-efficacy and illuminate potential mechanisms at work. Elsevier 2020-10-22 /pmc/articles/PMC7644865/ /pubmed/33195767 http://dx.doi.org/10.1016/j.dib.2020.106437 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Chen, Xueliang
Hu, Jie
Antecedents of adolescent students’ ICT self-efficacy: The ICT dataset
title Antecedents of adolescent students’ ICT self-efficacy: The ICT dataset
title_full Antecedents of adolescent students’ ICT self-efficacy: The ICT dataset
title_fullStr Antecedents of adolescent students’ ICT self-efficacy: The ICT dataset
title_full_unstemmed Antecedents of adolescent students’ ICT self-efficacy: The ICT dataset
title_short Antecedents of adolescent students’ ICT self-efficacy: The ICT dataset
title_sort antecedents of adolescent students’ ict self-efficacy: the ict dataset
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644865/
https://www.ncbi.nlm.nih.gov/pubmed/33195767
http://dx.doi.org/10.1016/j.dib.2020.106437
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