Research on the Application of Data Mining in Educational Big Data
DOI: 10.23977/aetp.2024.080425 | Downloads: 33 | Views: 487
Author(s)
Qianqian Wang 1, Weizhen Zhang 1
Affiliation(s)
1 Henan Vocational University of Science and Technology, Zhoukou, 466000, China
Corresponding Author
Qianqian WangABSTRACT
The rise of educational big data has provided ample prospects for the application of data mining technology in the field of education. This article begins with the characteristics of educational big data, exploring the current status and challenges of data mining technology in education. Through analysis of practical applications of data mining in areas such as student behavior analysis, teaching quality evaluation, and personalized learning, the article expounds how data mining technology can support educational decision-making, improve teaching effectiveness and learning experience. Additionally, it discusses data privacy protection and ethical issues, as well as the future development direction of data mining in the field of educational big data, providing new ideas for realizing intelligent and personalized education.
KEYWORDS
Education Big Data; Data Mining; Student Behavior AnalysisCITE THIS PAPER
Qianqian Wang, Weizhen Zhang, Research on the Application of Data Mining in Educational Big Data. Advances in Educational Technology and Psychology (2024) Vol. 8: 164-169. DOI: http://dx.doi.org/10.23977/aetp.2024.080425.
REFERENCES
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