基于文本语义相似度的英语教学创新与实践:智能批改、个性化学习与教学质量优化  

Innovations and Practices in English Language Teaching Based on Text Semantic Similarity:Intelligent Correction,Personalized Learning,and Teaching Quality Optimization

作　　者：肖尊岚[1] Xiao Zunlan(Shaoyang University,Shaoyang,Hunan,422000)

机构地区：[1]邵阳学院,湖南邵阳422000

出　　处：《现代英语》2024年第24期13-15,共3页Modern English

基　　金：邵阳学院2024年湖南省邵阳市社科联课题“校企合作背景下大学英语翻译教学中跨文化意识的培养策略研究”(项目编号:24YBB15)

摘　　要：随着人工智能和自然语言处理技术的进步,文本语义相似度在英语教学中的应用潜力日益凸显。本文通过文献综述与案例分析,探讨其在智能批改、个性化学习推荐和教学资源优化中的价值。针对现有技术局限,提出从算法优化、数据构建和教学应用等方面改进,以推动英语教学的智能化与精准化发展。With advancements in artificial intelligence and natural language processing(NLP)technologies,the potential applications of text semantic similarity in English teaching have become increasingly prominent.This article through a literature review and case analysis,explores its value in intelligent grading,personalized learning recommendations,and teaching resource optimization.To address current technological limitations,this paper proposes improvements in algorithm optimization,data construction,and educational applications to advance the intelligent and precise development of English teaching.

关 键 词：文本语义相似度 英语教学 个性化学习 智能化 教学质量优化 

分 类 号：G633.41[文化科学—教育学]