Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ozyurt, Ozcan, Ayaz, Ahmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
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
_version_ 1784695432686862336
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
work_keys_str_mv AT ozyurtozcan twentyfiveyearsofeducationandinformationtechnologiesinsightsfromatopicmodelingbasedbibliometricanalysis
AT ayazahmet twentyfiveyearsofeducationandinformationtechnologiesinsightsfromatopicmodelingbasedbibliometricanalysis