大语言模型对大学本科课程教学的多层次影响及启示——以投资银行学课程为例
The Multi-level Impact and Enlightenment of Large Language Models on Undergraduate Course Teaching:Taking the Investment Banking Course as an Example
吕颖毅1
作者信息
- 1. 湖南工商大学财政金融学院 湖南·长沙 410205
- 折叠
摘要
ChatGPT等大语言模型改变了现有知识生产、知识传递与知识学习模式,在教学理念、教学模式和教学方法等层面影响着大学本科课程教学,引发教师关于本科课程教学的替代焦虑.该文以投资银行学课程为例,分析大语言模型对课程教学的影响,探索人工智能时代课程教学应用大语言模型的途径及教学创新.
Abstract
Large language models such as ChatGPT have changed the existing pattern of knowledge production,knowledge transfer and knowledge learning,affecting undergraduate course teaching in terms of teaching con-cepts,teaching models and teaching methods,and triggering teachers'replacement anxiety about undergraduate course teaching.Taking the Investment Banking course as an example,this paper analyzes the impact of large lan-guage models on course teaching,and explores ways to apply large language models in course teaching and teach-ing innovations in the era of artificial intelligence.
关键词
人工智能/大语言模型/数字思政Key words
artificial intelligence/large language models/digital ideological and political education引用本文复制引用
基金项目
湖南省普通高等学校教学改革研究拟立项一般项目(2021)(HNJG-2021-0740)
出版年
2024
NETL
NSTL
万方数据