COMPUTATIONAL BIBLIOMETRIC ANALYSIS OF ENGLISH RESEARCH IN SCIENCE EDUCATION FOR STUDENTS WITH SPECIAL NEEDS USING VOSVIEWER

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Didi Sukyadi, Rina Maryanti, Nur Indri Rahayu, M. Muktiarni

2023 Journal of Engineering Science and Technology Vol. 18 Article Cited by 19 SDG 4 Quartile

Abstract

This study aimed to determine the bibliometric data analysis of English language research in science education for students with special needs using VOSviewer. The research data was obtained through a reference management application. We used the keywords "English language, science education, and students with special needs" to search for data. Search data was taken from 2012 to 2022. The results showed that research data for 11 years obtained 993 articles. The number of studies every year seems to fluctuate with a tendency to decrease. Most of the research took place in 2013 as many as 195 articles and in at least 2022 as many as 12. However, until now the main factor that causes research on the theme in question is unknown. The Covid-19 pandemic may be one of the factors causing this decline because since 2019 the number of studies that have taken place has been less than 50. The results of this study explain how important it is to use bibliometric analysis to find out the phenomena that occur regarding the development of English language research in science education for students with special needs. This is expected to trigger the enthusiasm of researchers to continue to develop research on this topic. © School of Engineering, Taylor’s University.

Affiliations

Universitas Pendidikan Indonesia, Indonesia

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