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Classification and evaluation of educational apps for early childhood: Security matters
This study explored certain popular educational apps’ vital characteristics and potential profiles (n1 = 50) for kindergarten kids. The profile analysis involved a categorization ascended from an evaluation process conducted by pre-service early childhood teachers’ (n2 = 295) at the University of Cr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398896/ https://www.ncbi.nlm.nih.gov/pubmed/36035974 http://dx.doi.org/10.1007/s10639-022-11289-w |
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author | Vaiopoulou, Julie Papadakis, Stamatios Sifaki, Eirini Kalogiannakis, Michail Stamovlasis, Dimitrios |
author_facet | Vaiopoulou, Julie Papadakis, Stamatios Sifaki, Eirini Kalogiannakis, Michail Stamovlasis, Dimitrios |
author_sort | Vaiopoulou, Julie |
collection | PubMed |
description | This study explored certain popular educational apps’ vital characteristics and potential profiles (n1 = 50) for kindergarten kids. The profile analysis involved a categorization ascended from an evaluation process conducted by pre-service early childhood teachers’ (n2 = 295) at the University of Crete, Greece, using a new instrument, validated in the present research, the ETEA-2 scale. The categorization criteria were the five dimensions of the ETEA-2: Learning, Suitability, Usability, Security, and Parental Control. The classification based on Latent Class Analysis led to three apps' profiles: Cluster/profile 1 includes apps that have high values in Learning, Usability, Suitability, and medium Parental Control and Security; Cluster/Profile 2 includes apps with medium Learning, Usability, Suitability, but low Parental Control and High Security; Cluster/Profile 3 includes apps with medium Learning, Usability, Suitability, but low Parental Control and low Security. This profile scheme is an indicative categorization summarizing the crucial features that popular apps possess and can help parents and/or educators’ decision-making on choosing the desirable application for their kids. Moreover, from an independent evaluation of these specific fifty apps sought on the internet, the members of Cluster2/Profile 2 were the most popular and preferable, as suggested by the number of downloads. This profile is distinguished for the security dimension. |
format | Online Article Text |
id | pubmed-9398896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-93988962022-08-24 Classification and evaluation of educational apps for early childhood: Security matters Vaiopoulou, Julie Papadakis, Stamatios Sifaki, Eirini Kalogiannakis, Michail Stamovlasis, Dimitrios Educ Inf Technol (Dordr) Article This study explored certain popular educational apps’ vital characteristics and potential profiles (n1 = 50) for kindergarten kids. The profile analysis involved a categorization ascended from an evaluation process conducted by pre-service early childhood teachers’ (n2 = 295) at the University of Crete, Greece, using a new instrument, validated in the present research, the ETEA-2 scale. The categorization criteria were the five dimensions of the ETEA-2: Learning, Suitability, Usability, Security, and Parental Control. The classification based on Latent Class Analysis led to three apps' profiles: Cluster/profile 1 includes apps that have high values in Learning, Usability, Suitability, and medium Parental Control and Security; Cluster/Profile 2 includes apps with medium Learning, Usability, Suitability, but low Parental Control and High Security; Cluster/Profile 3 includes apps with medium Learning, Usability, Suitability, but low Parental Control and low Security. This profile scheme is an indicative categorization summarizing the crucial features that popular apps possess and can help parents and/or educators’ decision-making on choosing the desirable application for their kids. Moreover, from an independent evaluation of these specific fifty apps sought on the internet, the members of Cluster2/Profile 2 were the most popular and preferable, as suggested by the number of downloads. This profile is distinguished for the security dimension. Springer US 2022-08-24 2023 /pmc/articles/PMC9398896/ /pubmed/36035974 http://dx.doi.org/10.1007/s10639-022-11289-w Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Vaiopoulou, Julie Papadakis, Stamatios Sifaki, Eirini Kalogiannakis, Michail Stamovlasis, Dimitrios Classification and evaluation of educational apps for early childhood: Security matters |
title | Classification and evaluation of educational apps for early childhood: Security matters |
title_full | Classification and evaluation of educational apps for early childhood: Security matters |
title_fullStr | Classification and evaluation of educational apps for early childhood: Security matters |
title_full_unstemmed | Classification and evaluation of educational apps for early childhood: Security matters |
title_short | Classification and evaluation of educational apps for early childhood: Security matters |
title_sort | classification and evaluation of educational apps for early childhood: security matters |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398896/ https://www.ncbi.nlm.nih.gov/pubmed/36035974 http://dx.doi.org/10.1007/s10639-022-11289-w |
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