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Bibliometric insights into data mining in education research: A decade in review

This bibliometric study on data mining in education synonymous with big educational data utilizes VOSviewer and Harzing’s Publish and Perish to analyze the metadata of 1,439 journal articles found in Scopus from 2010 to 2022. As bibliometric analyses in this field are lacking, this study aims to pro...

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Main Authors: Yessane Shrrie, Nagendhra Rao, Chen, Chwen Jen
Format: Article
Language:English
Published: Bastas Publications 2024
Subjects:
L Education (General)
Online Access:http://ir.unimas.my/id/eprint/44964/1/Bibliometric%20insights.pdf
http://ir.unimas.my/id/eprint/44964/
https://www.cedtech.net/article/bibliometric-insights-into-data-mining-in-education-research-a-decade-in-review-14333
https://doi.org/10.30935/cedtech/14333
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spelling my.unimas.ir.449642024-06-13T06:35:28Z http://ir.unimas.my/id/eprint/44964/ Bibliometric insights into data mining in education research: A decade in review Yessane Shrrie, Nagendhra Rao Chen, Chwen Jen L Education (General) This bibliometric study on data mining in education synonymous with big educational data utilizes VOSviewer and Harzing’s Publish and Perish to analyze the metadata of 1,439 journal articles found in Scopus from 2010 to 2022. As bibliometric analyses in this field are lacking, this study aims to provide a comprehensive outlook on the current developments and impact of research in this field. This study employs descriptive and trends analysis, co-authorship analysis, co-citation analysis, co-occurrences of keywords, terms map analysis, and analysis of the impact and performance of publications. It also partially replicates a similar study conducted by Wang et al. (2022), who used the Web of Science (WoS) database. The study is reported in an article entitled ‘Big data and data mining in education: A bibliometrics study from 2010 to 2022’. Results show that data mining in education is a growing research field. There is also a significant difference between the publications in Scopus and WoS. The study found several research areas and topics, such as student academic performance prediction, e-learning, machine learning, and innovative data mining techniques, to be the core basis for collaborating and continuing current research in this field. These results highlight the importance of continuing research on data mining in education, guiding future research in tackling educational challenges. Bastas Publications 2024-03-08 Article PeerReviewed text en http://ir.unimas.my/id/eprint/44964/1/Bibliometric%20insights.pdf Yessane Shrrie, Nagendhra Rao and Chen, Chwen Jen (2024) Bibliometric insights into data mining in education research: A decade in review. CONTEMPORARY EDUCATIONAL TECHNOLOGY, 16 (2). pp. 1-19. ISSN 1309-517X https://www.cedtech.net/article/bibliometric-insights-into-data-mining-in-education-research-a-decade-in-review-14333 https://doi.org/10.30935/cedtech/14333
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic L Education (General)
spellingShingle L Education (General)
Yessane Shrrie, Nagendhra Rao
Chen, Chwen Jen
Bibliometric insights into data mining in education research: A decade in review
description This bibliometric study on data mining in education synonymous with big educational data utilizes VOSviewer and Harzing’s Publish and Perish to analyze the metadata of 1,439 journal articles found in Scopus from 2010 to 2022. As bibliometric analyses in this field are lacking, this study aims to provide a comprehensive outlook on the current developments and impact of research in this field. This study employs descriptive and trends analysis, co-authorship analysis, co-citation analysis, co-occurrences of keywords, terms map analysis, and analysis of the impact and performance of publications. It also partially replicates a similar study conducted by Wang et al. (2022), who used the Web of Science (WoS) database. The study is reported in an article entitled ‘Big data and data mining in education: A bibliometrics study from 2010 to 2022’. Results show that data mining in education is a growing research field. There is also a significant difference between the publications in Scopus and WoS. The study found several research areas and topics, such as student academic performance prediction, e-learning, machine learning, and innovative data mining techniques, to be the core basis for collaborating and continuing current research in this field. These results highlight the importance of continuing research on data mining in education, guiding future research in tackling educational challenges.
format Article
author Yessane Shrrie, Nagendhra Rao
Chen, Chwen Jen
author_facet Yessane Shrrie, Nagendhra Rao
Chen, Chwen Jen
author_sort Yessane Shrrie, Nagendhra Rao
title Bibliometric insights into data mining in education research: A decade in review
title_short Bibliometric insights into data mining in education research: A decade in review
title_full Bibliometric insights into data mining in education research: A decade in review
title_fullStr Bibliometric insights into data mining in education research: A decade in review
title_full_unstemmed Bibliometric insights into data mining in education research: A decade in review
title_sort bibliometric insights into data mining in education research: a decade in review
publisher Bastas Publications
publishDate 2024
url http://ir.unimas.my/id/eprint/44964/1/Bibliometric%20insights.pdf
http://ir.unimas.my/id/eprint/44964/
https://www.cedtech.net/article/bibliometric-insights-into-data-mining-in-education-research-a-decade-in-review-14333
https://doi.org/10.30935/cedtech/14333
_version_ 1802981817405407232
score 13.211869

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