节点文献
大语言模型对重构外语教学范式的启示
Implications of the Large Language Models for Reconstructing Foreign Language Teaching Paradigms
【摘要】 研究通过比较人类大脑与计算机语言模型的语言处理机制,指出了模型在多个方面的局限性,并初步探讨了外语教学模式的重构,强调采用人机协同、人工智能赋能的教学模式能够提升效率和实用性。针对模型引发的意识形态和文化观念的冲突,外语教师应注重加强学生的洞察力,并构建融通型的大学英语课堂,以培养适应人工智能时代需求的大学生。
【Abstract】 By comparing the language processing mechanisms of human brain and computer models, the study points out several limitations of the models. It then enters into a preliminary discussion on the reconstruction of foreign language teaching model and emphasizes the adoption of human-computer collaboration and AI-enabled teaching models, which can improve the efficiency and practicality of classroom teaching. In response to the conflicting ideologies and cultural concepts triggered by the models, it matters for foreign language teachers to enhance students’ insight, and construct an integrative college English classroom which will help cultivate college students who can adapt to the AI era.
【Key words】 language models; language cognition; language computing; teaching mode;
- 【文献出处】 现代英语 ,Modern English , 编辑部邮箱 ,2024年23期
- 【分类号】H319.3;G434
- 【下载频次】45