Evolution of topics in education research: a systematic review using bibliometric analysis
Education research tends to exhibit interdisciplinary and multidisciplinary characteristics. Based on the subject areas in Google Scholar, within the 51 disciplines under social sciences, nine subjects are directly related to education (early childhood education, education, educational administratio...
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Published in | Educational review (Birmingham) Vol. 72; no. 3; pp. 281 - 297 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Birmingham
Routledge
03.05.2020
Taylor & Francis Ltd |
Subjects | |
Online Access | Get full text |
ISSN | 0013-1911 1465-3397 |
DOI | 10.1080/00131911.2019.1566212 |
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Summary: | Education research tends to exhibit interdisciplinary and multidisciplinary characteristics. Based on the subject areas in Google Scholar, within the 51 disciplines under social sciences, nine subjects are directly related to education (early childhood education, education, educational administration, educational psychology & counselling, educational technology, higher education, science & engineering education, special education, teaching & teacher education). The interdisciplinary and multidisciplinary characteristics of education research make it difficult for researchers to identify the overall development of specific topics within the field. In this paper, we first collect core papers from the field of education. Then, we construct keyword co-occurrence networks using these papers. Finally, based on the density distribution of keyword co-occurrence networks, we analyse changes in network density at each stage of educational research. Last, we identify the development trends of core topics in the education field. Our main contribution is the quantitative methodological design for examining the hot topics and evolution of education research, which is highly multidisciplinary and covers a large volume of publications. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 content type line 14 ObjectType-Feature-3 ObjectType-Evidence Based Healthcare-1 |
ISSN: | 0013-1911 1465-3397 |
DOI: | 10.1080/00131911.2019.1566212 |