摘要
教学是区域国别研究人才培养的重要环节之一,在人工智能飞速发展的时代,如何利用大语言模型赋能区域国别研究教学工作是一项不可回避的重要课题。文章立足于区域国别研究教学的特征,从学科需求和技术方法双维度探讨大语言模型赋能教学的融合框架,系统探究多语种文献整合、跨文化情境模拟与批判性思维培养等关键环节,并提出数据集准备、知识库构建、模型微调及多模态应用等核心路径,为大语言模型赋能区域国别研究提供思路与理论借鉴。
Teaching is a critical component in cultivating professionals in the field of Area Studies.In an era witnessing the rapid advance of artificial intelligence,an unavoidable question arises:how can large language models be harnessed to enhance the teaching of Area Studies?Grounded in the distinctive features of Area Studies pedagogy,this paper discusses a comprehensive framework for integrating large language models by examining the dual dimensions of disciplinary needs and technological approaches.It systematically explores key aspects such as multilingual literature integration,cross-cultural scenario simulations,and the cultivation of critical thinking.Additionally,it proposes core pathways including dataset preparation,knowledge base construction,model fine-tuning,and multimodal applications,providing insights and theoretical reference for empowering Area Studies teaching through large language models.
作者
朱殿勇
李赫
ZHU Dian-yong;LI He(Harbin Engineering University,Harbin 150001,China)
出处
《当代教研论丛》
2025年第1期43-47,共5页
contemporary Teaching and Research
基金
哈尔滨工程大学外语学院项目:新文科背景下的“海军装备”特色平行语料库研究与应用(22YJA740042)。
关键词
大语言模型
区域国别研究
教学应用
思路探索
large language models
area studies
teaching application
exploratory approaches
