生成式人工智能赋能中小学英语课堂重构,为教学高质量发展提供了新路径。以DeepSeek为例,生成式人工智能赋能中小学英语课堂的实践诉求指向教学目标重整、内容重构、过程重组与评价重塑,以破解知识传递低效的困境;价值逻辑在于多模态生成、动态诊断与智能反馈特性,通过人机协同强化跨文化交际与批判性思维,精准对标核心素养培育。基于此,提出架构路径:“减负”与“提质”全要素数据联动,重塑核心素养培育目标;“数据”与“资源”全场景数据融合,打造双空间一体化教学环境;“基建”与“情境”全过程数据联通,创新多模态教学模式;“学情”与“学业”全过程数据赋能,建构数智融合评价方式;“调查”与“验证”综合数据联动,彰显课堂重构推广价值。

Generative artificial intelligence(GAI) has empoweredthe reconstruction of English classrooms in primary and secondary schools,offering a new pathway for high-quality teaching development.Taking DeepSeek as anexample,the practical demands of GAI in English classroom reconstruction are directed toward realigning teaching objectives,restructuring content,reorganizing processes,and reshaping evaluations,so as to address the inefficiency of knowledge transmission.The underlying value logic of such empowerment lies in itscapabilities for multimodal generation,dynamic diagnosis,and intelligent feedback,which strengthen intercultural communication and critical thinking throughhuman-AI collaboration,thereby precisely aligning with the cultivation of corecompetencies.Based on this,pathway frameworks are proposed:first,achieving full-element data coordination between ″reducing burden″ and ″improving quality″ to reshape the goals of cultivating core competencies;second,integrating dataand resources across all scenarios to create a dual-space integrated teachingenvironment;third,connecting infrastructure and context data throughout the entire process to innovate multimodal teaching models;fourth,empowering both learning status and academic performance with whole-process data to construct an evaluation approach that integrates data and intelligence;and finally,linking investigation with verification through comprehensive data integration to demonstrate the promotional value of classroom reconstruction.