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Research on Personalized Teaching Strategies Based on Big Data Analysis

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DOI: 10.23977/aetp.2024.080327 | Downloads: 10 | Views: 137

Author(s)

Song Wu 1

Affiliation(s)

1 Fenyang Middle School Shanxi Province, Fenyang, Shanxi, China

Corresponding Author

Song Wu

ABSTRACT

This paper discusses the implementation and existing problems of personalized teaching strategies in the context of big data, and proposes corresponding optimization strategies. It analyzes the issues of data privacy and security, including the safety of data collection, storage, and transmission, and the ethical norms of data use. The paper also explores the challenges faced by data analysis technologies, such as the complexity of data processing and analysis, the interpretability of data analysis results, and the synchronization of technological updates with teacher training. The aim is to provide a reference for improving the effectiveness and quality of personalized teaching strategies.

KEYWORDS

Big Data; Personalized Teaching Strategies; Data Privacy and Security; Data Analysis Technology

CITE THIS PAPER

Song Wu, Research on Personalized Teaching Strategies Based on Big Data Analysis. Advances in Educational Technology and Psychology (2024) Vol. 8: 199-205. DOI: http://dx.doi.org/10.23977/aetp.2024.080327.

REFERENCES

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