首页|智慧教育时代国际中文教师的应对与转型——基于大语言模型应用的探讨

智慧教育时代国际中文教师的应对与转型——基于大语言模型应用的探讨

Adaptation and Transformation of International Chinese Teachers in Smart Education Era——A discussion based on the application of large language models

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自然语言处理技术的发展及生成式大语言模型的广泛应用加速了国际中文教育模式与场域的变革,智慧教育的时代导向、国际中文教育的全球化推广与职业内生价值对国际中文教师的转型提出前置要求,国际中文教师应积极回应时代任务,顺应智慧教育新风口,提升数字能力、重构学科知识,并通过与大语言模型的"人智协同"赋能自身的"智慧素养",实现国际中文教育的"多师效果""个性定制"与"资源集成".具体来说,就是将GPT模型嵌入国际中文教育智慧课堂辅助系统,架构全新的国际中文智慧教育课堂;通过大语言模型的加持,引导国际中文"语言+技能"学习的发展趋势;融合数智化技术匹配中华文化供需,全面提升国际中文教师的语言服务能力.
The evolution of natural language processing technology and the extensive applica-tion of generative large language models have significantly transformed the teaching models and fields of international Chinese language education.Guided by the era of smart education,the globalization of international Chinese language education,and the inherent professional value,international Chinese language teachers are required to undergo a transformation.In response to these challenges,teachers should embrace the new trend of smart education,en-hance their digital capabilities,and reconstruct subject knowledge.By collaborating with large language models,teachers can further enhance their wisdom literacy,enabling person-alized customization,multi-teacher effects,and resource integration in international Chinese language education.Specifically,GPT models should be integrated into a smart classroom assistance system for international Chinese language education,creating a novel classroom environment.Additionally,the utilization of large language models facilitates the trend to-wards integrated"language+skills"learning,while the integration of digital and intelligent technologies optimizes the matching of Chinese cultural supply and demand,thereby enhan-cing the language service capabilities of international Chinese language teachers.

smart educationinternational Chinese language educationinternational Chinese language teacherslarge language modelssmart literacy

陈晓夏、杜玉生

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南京信息工程大学,江苏南京 210044

智慧教育 国际中文教育 国际中文教师 大语言模型 智慧素养

2024

扬州大学学报(高教研究版)
扬州大学

扬州大学学报(高教研究版)

影响因子:0.667
ISSN:1007-8606
年,卷(期):2024.28(5)