Empowering with Digital Intelligence and Material Reconstruction: A Study on the Application of AI Tools in the Development of EFL Teaching Materials

Xiangzhen Zeng

doi:10.54097/2jdx4c26

Authors

Xiangzhen Zeng

DOI:

https://doi.org/10.54097/2jdx4c26

Keywords:

Digital Intelligence Empowerment, Material Reconstruction, AI Tools, EFL Teaching, EFL Teaching Material Development

Abstract

In the context of digital education, the sluggish update and poor adaptability of English as a Foreign Language (EFL) teaching materials have become prominent problems, which have become key factors impeding the improvement of foreign language teaching quality. Artificial intelligence, relying on technologies such as natural language processing and learning analytics, can intelligently reconstruct traditional teaching materials and optimize and upgrade their content and form simultaneously. Based on teaching practice, this paper analyzes the existing problems in EFL teaching material development, elaborates on the technical support and application paths of AI tools, quantitatively analyzes the application effects with authoritative pilot data, and constructs a human-machine collaborative application system. The findings of this study indicate that the proper utilization of AI tools can significantly improve the efficiency and accuracy of teaching material development and enhance classroom teaching effectiveness. Adhering to the teacher-led and AI-assisted development model in EFL teaching material development can facilitate the transformation of teaching resources toward personalization and dynamism, and provide solid resource support for the high-quality development of foreign language teaching.

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