基于知识图谱的人工智能赋能大学英语沉浸式教学资源整合策略  

Knowledge Graph-based Artificial Intelligence-Enabled University English Immersion Teaching Resource Integration Strategy

作　　者：侯雯 李楠[1] 王璐[1] 姜海燕[1] Hou Wen;Li Nan;Wang Lu;Jiang Haiyan(Qiqihar Medical College,Qiqihar,Heilongjiang,161003)

机构地区：[1]齐齐哈尔医学院,黑龙江齐齐哈尔161003

出　　处：《现代英语》2024年第13期50-52,共3页Modern English

基　　金：齐齐哈尔医学院2024年教育科研项目(项目编号:QYJY20240109)。

摘　　要：随着人工智能技术的快速发展,知识图谱作为其重要组成部分,在教育领域的应用日益广泛.文章首先分析了当前大学英语教学中存在的问题,如教学资源分散、学习体验单一等.随后,提出了构建知识图谱的方法,将分散的英语教学资源整合在统一的平台上,并通过人工智能技术实现个性化推荐和智能辅导,为大学英语教学提供了新的视角和解决方案.With the rapid development of artificial intelligence technology,knowledge graph,as an important part of it,is increasing-ly widely used in the field of education.This paper first analyzes the current problems in college English teaching,such as scattered teach-ing resources and single learning experience.Subsequently,it proposes a method of constructing knowledge graph,integrating dispersed English teaching resources on a unified platform,and realizing personalized recommendation and intelligent tutoring through artificial intel-ligence technology,which provides new perspectives and solutions for university English teaching.

关 键 词：知识图谱 人工智能 大学英语 沉浸式教学 教学资源整合 

分 类 号：G436[文化科学—教育学] H319.3[文化科学—教育技术学]