生成式人工智能对初中英语词汇教学的支持作用

Generative AI’s Supporting Functions in Junior High English Vocabulary Instruction

摘要: 词汇教学是初中英语教学的重要环节，其效果直接影响学生综合语言能力的发展。然而当前初中英语词汇教学中，教师对生成式人工智能的应用存在诸多不足，难以满足教学改革需求。本文以生成式人工智能技术为切入点，从课前(学情分析、主题语篇生成)、课中(多模态教学、问题链设计)、课后(多体裁资料改编、人机对话巩固)三个维度，探究生成式人工智能促进词汇教学的实践路径；同时梳理AI落地应用中素材质量不稳、学生作弊、数字鸿沟、教师技术匮乏、过度依赖技术等现实风险，并提出分层内容审核、优化作业评价、统筹校内资源、搭建校本研修、明晰人机主次关系等应对策略，为一线初中英语教师优化词汇教学策略提供参考，推动生成式人工智能与初中英语词汇教学的深度融合。

Abstract: Vocabulary teaching is an essential part of junior high school English instruction, and its effectiveness directly affects the development of students’ comprehensive linguistic competence. Nevertheless, many teachers still have deficiencies in applying generative artificial intelligence to vocabulary teaching, which fails to meet the demands of English teaching reform. Taking generative AI as the research starting point, this paper explores practical paths for promoting vocabulary teaching with generative AI from three stages: pre-class (student profile analysis and thematic discourse generation), in-class (multimodal teaching and question chain design), and post-class (adaptation of multi-genre materials and knowledge consolidation through human-AI dialogue). This paper also sorts out prevalent risks in AI application, such as unstable material quality, student academic cheating, the digital divide, teachers’ inadequate digital literacy and over-reliance on technology. Corresponding strategies are put forward, including hierarchical content review, improved assignment evaluation, coordination of on-campus resources, development of school-based training programs for teachers, and clarification of the priority of humans over technology. The research results can serve as a reference for frontline junior high school English teachers to optimize vocabulary teaching strategies and advance the in-depth integration of generative AI into junior high English vocabulary teaching.