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Education big data and learning analytics: a bibliometric analysis

The contemporary era’s extensive use of data, particularly in education, has provided new insights and benefits. This data is called ‘education big data’, and the process of learning through such data is called ‘learning analytics’. Education in big data and learning analytics are two important proc...

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Main Authors: Samsul, Shaza Arissa, Yahaya, Noraffandy, Abuhassna, Hassan
Format: Article
Language:English
Published: Springer Nature 2023
Subjects:
H Social Sciences (General)
Online Access:http://eprints.utm.my/107577/1/NoraffandyYahaya2023_EducationBigDataAndLearningAnalytics.pdf
http://eprints.utm.my/107577/
http://dx.doi.org/10.1057/s41599-023-02176-x
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spelling my.utm.1075772024-09-25T06:13:47Z http://eprints.utm.my/107577/ Education big data and learning analytics: a bibliometric analysis Samsul, Shaza Arissa Yahaya, Noraffandy Abuhassna, Hassan H Social Sciences (General) The contemporary era’s extensive use of data, particularly in education, has provided new insights and benefits. This data is called ‘education big data’, and the process of learning through such data is called ‘learning analytics’. Education in big data and learning analytics are two important processes that produce impactful results and understanding. it is crucial to take advantage of these processes to enhance the current education system. We conduct a bibliometric analysis based on the PRISMA statement template. The publications used for the analysis are based on the years 2012–2021. We examine and analyze a total of 250 publications, mainly sourced from the Scopus database, for insights regarding education big data and learning analytics. All of the publications also undergo filtration according to specific inclusion and exclusion criteria. Based on the bibliometric analysis conducted, we discover the distribution of education big data and learning analytics publications across the years 2012–2021, the most relevant journals and authors, the most significant countries, the primary research keywords, and the most important subject area involved. This study presents the trends and recommendations in education big data and learning analytics. We also offer suggestions for improvement and highlight the potential for enhancement of the education system through the full utilization of education big data and learning analytics. Springer Nature 2023 Article PeerReviewed application/pdf en http://eprints.utm.my/107577/1/NoraffandyYahaya2023_EducationBigDataAndLearningAnalytics.pdf Samsul, Shaza Arissa and Yahaya, Noraffandy and Abuhassna, Hassan (2023) Education big data and learning analytics: a bibliometric analysis. Humanities and Social Sciences Communications, 10 (1). pp. 1-11. ISSN 2662-9992 http://dx.doi.org/10.1057/s41599-023-02176-x DOI : 10.1057/s41599-023-02176-x
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic H Social Sciences (General)
spellingShingle H Social Sciences (General)
Samsul, Shaza Arissa
Yahaya, Noraffandy
Abuhassna, Hassan
Education big data and learning analytics: a bibliometric analysis
description The contemporary era’s extensive use of data, particularly in education, has provided new insights and benefits. This data is called ‘education big data’, and the process of learning through such data is called ‘learning analytics’. Education in big data and learning analytics are two important processes that produce impactful results and understanding. it is crucial to take advantage of these processes to enhance the current education system. We conduct a bibliometric analysis based on the PRISMA statement template. The publications used for the analysis are based on the years 2012–2021. We examine and analyze a total of 250 publications, mainly sourced from the Scopus database, for insights regarding education big data and learning analytics. All of the publications also undergo filtration according to specific inclusion and exclusion criteria. Based on the bibliometric analysis conducted, we discover the distribution of education big data and learning analytics publications across the years 2012–2021, the most relevant journals and authors, the most significant countries, the primary research keywords, and the most important subject area involved. This study presents the trends and recommendations in education big data and learning analytics. We also offer suggestions for improvement and highlight the potential for enhancement of the education system through the full utilization of education big data and learning analytics.
format Article
author Samsul, Shaza Arissa
Yahaya, Noraffandy
Abuhassna, Hassan
author_facet Samsul, Shaza Arissa
Yahaya, Noraffandy
Abuhassna, Hassan
author_sort Samsul, Shaza Arissa
title Education big data and learning analytics: a bibliometric analysis
title_short Education big data and learning analytics: a bibliometric analysis
title_full Education big data and learning analytics: a bibliometric analysis
title_fullStr Education big data and learning analytics: a bibliometric analysis
title_full_unstemmed Education big data and learning analytics: a bibliometric analysis
title_sort education big data and learning analytics: a bibliometric analysis
publisher Springer Nature
publishDate 2023
url http://eprints.utm.my/107577/1/NoraffandyYahaya2023_EducationBigDataAndLearningAnalytics.pdf
http://eprints.utm.my/107577/
http://dx.doi.org/10.1057/s41599-023-02176-x
_version_ 1811681226612801536
score 13.211869

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