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
侯雯 1李楠 1王璐 1姜海燕1
作者信息
- 1. 齐齐哈尔医学院,黑龙江 齐齐哈尔 161003
- 折叠
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.
Abstract
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Key words
knowledge graph/artificial intelligence/college English/immersion teaching/teaching resources integration引用本文复制引用
出版年
2024
NETL
NSTL
万方数据