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Bibliometric analysis on data mining applied in education and teaching fi eld

Xin QI, Linsi Huang

Abstract


Enter the era of big data, with the rapid development of computer science, data mining technology has been widely used in
various fi elds. Among them, the application research of data mining in education and teaching has always been a hot fi eld of concern for
teaching and research workers. To use the document visualization software VOSviewer to make statistics on the academic journals included
by Wanfang from 2010 to 2022, we analyze the number of published documents in this fi eld, hot keywords and other information in recent
years, and construct a keyword map. The results show that: 1) From the perspective of the number of documents published in the fi eld of
data mining applied in education and teaching in the past decade, it has roughly experienced a period of slow growth, growth and rapid
growth; 2) The current research focus of data mining in the fi eld of education and teaching is mainly on data mining technology, talent
training, teaching reform, learning situation analysis and other fi elds; 3) In the future, industrial integration and innovation, information
integration and data governance will be the research directions worthy of attention.

Keywords


Data mining; Education and teaching; Bibliometrics; Keyword heat analysis; VOSviwer;

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References


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DOI: http://dx.doi.org/10.18686/modern-management-forum.v7i5.8635

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