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Twenty-five years of education and information technologies: Insights from a topic modeling based bibliometric analysis
Education and Information Technologies (EAIT) has been a leading journal in education & educational research since 1996. To celebrate its 25th anniversary and provide a comprehensive overview of the field, a topic modeling-based bibliometric analysis was conducted on the articles published in th...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046010/ https://www.ncbi.nlm.nih.gov/pubmed/35502161 http://dx.doi.org/10.1007/s10639-022-11071-y |
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author | Ozyurt, Ozcan Ayaz, Ahmet |
author_facet | Ozyurt, Ozcan Ayaz, Ahmet |
author_sort | Ozyurt, Ozcan |
collection | PubMed |
description | Education and Information Technologies (EAIT) has been a leading journal in education & educational research since 1996. To celebrate its 25th anniversary and provide a comprehensive overview of the field, a topic modeling-based bibliometric analysis was conducted on the articles published in this journal. The study is constructed upon two methods, bibliometric analysis, and topic modeling. The study aims to find out the trends in publications and citations, prominent countries, affiliations and the status of authors, the prominent topics, and the thematic characteristics of these topics, as well as research interests and trends. The results show that the articles are grouped under the 21 topics. The top five most studied of them have been determined as "Technology acceptance", "Social networkbased learning", "Teacher education", "Satisfaction of e-learning" and "E-learning". Finally, the acceleration results of each topic within itself and compared to other topics show that the most accelerated topic is "Gamification", while the most accelerated topic compared to other topics has been determined as "Technology acceptance". The general results of the study shed light on future studies in terms of determining the research interests and trends of publications in the field of educational technologies, EAIT. |
format | Online Article Text |
id | pubmed-9046010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-90460102022-04-28 Twenty-five years of education and information technologies: Insights from a topic modeling based bibliometric analysis Ozyurt, Ozcan Ayaz, Ahmet Educ Inf Technol (Dordr) Article Education and Information Technologies (EAIT) has been a leading journal in education & educational research since 1996. To celebrate its 25th anniversary and provide a comprehensive overview of the field, a topic modeling-based bibliometric analysis was conducted on the articles published in this journal. The study is constructed upon two methods, bibliometric analysis, and topic modeling. The study aims to find out the trends in publications and citations, prominent countries, affiliations and the status of authors, the prominent topics, and the thematic characteristics of these topics, as well as research interests and trends. The results show that the articles are grouped under the 21 topics. The top five most studied of them have been determined as "Technology acceptance", "Social networkbased learning", "Teacher education", "Satisfaction of e-learning" and "E-learning". Finally, the acceleration results of each topic within itself and compared to other topics show that the most accelerated topic is "Gamification", while the most accelerated topic compared to other topics has been determined as "Technology acceptance". The general results of the study shed light on future studies in terms of determining the research interests and trends of publications in the field of educational technologies, EAIT. Springer US 2022-04-28 2022 /pmc/articles/PMC9046010/ /pubmed/35502161 http://dx.doi.org/10.1007/s10639-022-11071-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 Ozyurt, Ozcan Ayaz, Ahmet Twenty-five years of education and information technologies: Insights from a topic modeling based bibliometric analysis |
title | Twenty-five years of education and information technologies: Insights from a topic modeling based bibliometric analysis |
title_full | Twenty-five years of education and information technologies: Insights from a topic modeling based bibliometric analysis |
title_fullStr | Twenty-five years of education and information technologies: Insights from a topic modeling based bibliometric analysis |
title_full_unstemmed | Twenty-five years of education and information technologies: Insights from a topic modeling based bibliometric analysis |
title_short | Twenty-five years of education and information technologies: Insights from a topic modeling based bibliometric analysis |
title_sort | twenty-five years of education and information technologies: insights from a topic modeling based bibliometric analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046010/ https://www.ncbi.nlm.nih.gov/pubmed/35502161 http://dx.doi.org/10.1007/s10639-022-11071-y |
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