Research on the Precise Teaching Model of Primary School Mathematics Empowered by Technology_Vol. 2 No. 2 (JNSE 2025)_Journal of Natural Science Education (ISSN: 3005-5792)

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Research on the Precise Teaching Model of Primary School Mathematics Empowered by Technology

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DOI: https://doi.org/10.62517/jnse.202517202

Author(s)

Tianjing Feng

Affiliation(s)

College of Teacher Education, Ningbo University, Ningbo, China

Abstract

In order to solve the problem of low teaching effect of traditional teaching mode, the research on precise teaching mode of primary school mathematics under technology empowerment is proposed. This study integrates the personalized recommendation module of collaborative filtering and the path optimization module of reinforcement learning. Firstly, the learning content is dynamically adjusted based on the students' learning history, behavior data and real-time feedback to ensure that students get the learning experience that best suits their individual needs. Secondly, the algorithm is applied in three subjects: mathematics, physics and English. Finally, the test scores and the number of interactions are verified by experiments. The experimental results show that the average test score of students has increased by 17.97%, among which the score of physics has improved the most significantly, with an improvement of 19.83%. This shows that the effect of personalized recommendation and learning path optimization is outstanding, which can help students better master complex knowledge points and significantly improve students' subject understanding and test performance. Conclusion: The algorithm provides effective technical support for personalized education and has broad application prospects.

Keywords

Big Data Analysis; Precision Teaching; Personalized Recommendation

References

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