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Article
Affiliation(s)

Zhejiang University of Science and Technology, Hangzhou, China

ABSTRACT

This study takes Zhen’an Primary School, Wuxiang Town Central Primary School, and Fenghua District Experimental Primary School in Ningbo as case studies to explore the pathways and effectiveness of empowering primary school teachers through intelligent technology. Using questionnaires, interviews, and case analysis, the research finds that Zhen’an Primary School has optimized its integration of teaching resources through a “culture + technology” fusion model. Wuxiang Town Central Primary School leverages AI for differentiated instruction, enabling precise learning diagnostics. Fenghua District Experimental Primary School has reconstructed its educational management ecosystem through data-driven approaches. The study reveals that intelligent technologies can effectively assist teachers by reducing repetitive tasks and promoting personalized teaching and classroom innovation. However, challenges remain, including rapid technological iteration, equipment maintenance, and continuity in teacher training. Based on empirical findings, the study proposes a “Technology-Teaching-Reflection” iterative improvement model, providing practical guidance for enhancing teachers’ digital literacy, optimizing instructional strategies, and advancing smart campus development, thus contributing to the construction of a human-machine collaborative educational ecosystem.

KEYWORDS

intelligent technology, primary school teachers, educational empowerment, instructional innovation, smart campus

Cite this paper

ZHANG Yuanyuan, YU Xinyi, LU Jiayu, SHANYU Yan, FANG Xiaoqing. (2025). Research on the Empowerment of Primary School Teachers in Ningbo Through Intelligent Technology. US-China Education Review A, May 2025, Vol. 15, No. 5, 347-351.

References

Ningbo Yinzhou District. (2024). AI empowers education! Experience of Wuxiang Central Primary School invited for national exchange. Sina News. Retrieved from https://cj.sina.com.cn/articles/view/1794681085/6af8a8fd001016i76

Tahiru, F. (2021). AI in education: A systematic literature review. Journal of Cases on Information Technology, 23(1), 1-20.

Tlili, A., Saqer, K., Salha, S., & Huang, R. (2024). Investigating the effect of artificial intelligence in education (AIEd) on learning achievement: A meta-analysis and research synthesis. Information Development. Retrieved from https://doi.org/10.1177/02666669241304407

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