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Twenty-five years of education and information technologies: Insights from a topic modeling based bibliometric analysis.
Ozyurt, Ozcan; Ayaz, Ahmet.
Afiliação
  • Ozyurt O; OF Technology Faculty, Department of Software Engineering, Karadeniz Technical University, Trabzon, Turkey.
  • Ayaz A; Digital Transformation Office, Karadeniz Technical University, Trabzon, Turkey.
Educ Inf Technol (Dordr) ; 27(8): 11025-11054, 2022.
Article em En | MEDLINE | ID: mdl-35502161
ABSTRACT
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.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Educ Inf Technol (Dordr) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Turquia

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Educ Inf Technol (Dordr) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Turquia