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Research on the Application of Data Mining in Educational Big Data

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DOI: 10.23977/aetp.2024.080425 | Downloads: 4 | Views: 98

Author(s)

Qianqian Wang 1, Weizhen Zhang 1

Affiliation(s)

1 Henan Vocational University of Science and Technology, Zhoukou, 466000, China

Corresponding Author

Qianqian Wang

ABSTRACT

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 Analysis

CITE 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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