摘要
数智赋能大学外语教学既是国家推进数字化发展战略的需要,也符合新时代大学外语教学的要求。分层教学是贯彻“分类指导、因材施教”教育理念的教学模式,能够尊重学生个体差异,满足不同学生的学习需求,有效提高大学外语教学效果。参照拉尔夫·泰勒提出的课程模型,本文构建了人工智能(AI)赋能大学外语分层教学的实施路径;以大学英语的新闻听力课堂教学为例,创建了AI赋能分层教学的4A模式,探索人工智能大模型在赋能分层教学目标设计、教学内容构建、课堂活动组织及成果评价中的具体应用。结果表明,AI技术能够有效应对传统分层教学中遇到的困难和挑战,提升学生外语水平,增强学习兴趣。
Empowering foreign language teaching with digital intelligence meets the nation's needs of digita development strategy,as well as aligns with the requirements of college foreign language education in the new era.As a teaching mode that implements the educational concept of"classified instruction and tailored teaching",stratified teaching can respect individual differences of students,meet the learning needs of students at different levels,and improve college foreign language teaching effects.Based on Ralph Tyler's curriculum model,this study constructs an artificial intelligence(AI)-empowered implementation path for stratified foreign language teaching at the university level.Taking the classroom teaching of College English news listening as an example,this paper proposes a 4A model of AI-empowered stratified teaching,and explores the specific applications of large language models in empowering objective design,content construction,classroom activity organization and evaluation feedback.The results reveal that AI technology can effectively address the difficulties and challenges encountered in traditional stratified teaching,improve students'foreign language proficiency and enhance their learning interest.
作者
袁俊娥
YUAN Jun’e(Foreign Language Department,Beijing Union University,Beijing 100101,China)
出处
《北京联合大学学报》
2026年第1期17-23,共7页
Journal of Beijing Union University
基金
2024年度北京市数字教育研究课题(青年课题)“大语言模型赋能大学英语分层教学模式研究”(BDEC2024QN082)。
关键词
人工智能(AI)
AI赋能
大语言模型
大学外语
分层教学
artificial intelligence(AI)
AI-empowerment
large language models(LLMs)
college foreign language
stratified teaching
