Work

Research Strategies and Practices of AI-Driven Secondary School English Teaching

Year: 2025

Type: article

Abstract: This study provides an in-depth analysis of the traditional challenges faced in secondary English education, including stereotypical teaching styles, lack of personalized education, lack of resources for teaching and research, and constraints on teachers’ professional growth. This paper proposes that the incorporation of Artificial Intelligence (AI) technology provides novel solutions to address these challenges. It enhances the interactivity and practicality of language learning through an intelligent context simulation system, customizes personalized learning paths using big data analysis, optimizes the allocation of teaching resources with the help of intelligent literature retrieval and analysis tools, and promotes teachers’ professional development through a teacher skills assessment and feedback mechanism. Looking ahead, the deep application of AI in education will bring more efficient, personalized and intelligent changes to secondary school English teaching.

Source: The Development of Humanities and Social Sciences

DOI: 10.71204/bnqn1w65

Authors: Manman Li, Rumeng Duan

Institution: Taiyuan Normal University

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

Funders: Taiyuan Normal University, Division of Graduate Education