摘要
为了解决“中华文化经典”课程难以营造意境、教学模式与教学方法单一等问题,结合教学实践,对“中华文化经典”课程进行教学改革与创新,重心是基于数智技术,创新“多模态语境”教学模式。课前搜集多模态资料,借助新技术,制作古诗词意境图等数字资源,将资源嵌入讲义中,为学生提供自学资源;课堂上通过数智技术还原古诗文意境,让学生沉浸在情境中深入理解古诗文,并进行输入、输出反馈与训练;课后引导学生“云端”交际,应用拓展。研究结果表明:可利用数智技术优化教学模式,辅助学生理解诗词意境,打通理解壁垒,课后拓展教学,提升教学效果。本研究结果对利用数智技术进行国际中文教学改革有一定的借鉴意义。
In response to such problems plaguing the course of“Chinese Cultural Classics”as difficulty in creating artistic conception and single teaching mode and teaching method,the teaching of“Chinese Cultural Classics”was reformed and innovated in combination with teaching practice.Based on the digital intelligence technology,the teaching mode of“multi-modal context”was innovated:a variety of modal materials were collected before class,and digital resources such as artistic conception images of ancient poems were produced with the help of new technologies,which were embedded in lecture notes to provide students with self-learning resources;in class,the students were immersed in the situation to understand the poem,and input,output feedback and training;after class,students were guided to“Cloud”communication,application and expansion.The results show that the digital intelligence technology can be used to optimize the teaching mode,assist students in understanding the artistic conception of poetry,break through the barriers to understanding,expand teaching after class,and improve the teaching effect.The results of this study have certain reference significance for the reform of international Chinese teaching by harnessing the digital intelligence technology.
作者
杨瑞
林萍香
YANG Rui;LIN Pingxiang(School of Humanities,Zhejiang University of Science and Technology,Hangzhou 310023,Zhejiang,China;Hangzhou Xihu Primary School Education Group,Hangzhou 310013,Zhejiang,China)
出处
《浙江科技学院学报》
CAS
2024年第2期135-141,150,共8页
Journal of Zhejiang University of Science and Technology
基金
浙江科技学院研究生课程建设项目(2022-2)
浙江科技学院国际教育专项课题(2022IERC001)
浙江省省级一流本科课程(浙教办函〔2022〕352号)
浙江科技学院校级“课程思政”示范课程项目(教务处〔2022〕16号)。
关键词
“中华文化经典”
数智技术
教学模式
“Chinese Cultural Classics”
digital intelligence technology
teaching mode