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大数据环境下的智能交通系统课程教学改革探析 被引量:4

Analysis on Intelligent Transportation System Course Teaching Reform under Big Data
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摘要 "智能交通系统"是一门多学科交叉课程,它代表了目前交通运输的发展方向。本文从教学理念转换、课程设置优化、课堂教学方式翻转和多元化教学评价等方面进行了创新人才培养教学改革探索。课程考核方面,成绩由平时成绩、课程实验以及最终的笔试三部分按比例制得分组成,以达到充分调动学生的积极性和创造性,培养学生独立自主分析智能交通技术方面问题、解决智能交通方面关键技术问题的能力,从而增强学生对智能交通的研究兴趣。 Intelligent Transportation System(ITS) course is an interdisciplinary course that represents the development direction of transport. In this paper, exploration in teaching method improvement is made. It includes updating the philosophy in education, optimizing the curriculum, flipping the classroom teaching way and diversifying teaching evaluation. In the course examination, the achievement is divided into three parts according to the usual achievement, the course experiment, and the final written test, so as to fully arouse the enthusiasm and creativity of the students, and cultivate their ability of independently analyzing problems on ITS technology and solving key technological problems of ITS, thus enhancing students' interest in the study of ITS.
作者 刘擎超 Liu Qingchao
出处 《科教文汇》 2017年第30期60-61,共2页 Journal of Science and Education
关键词 智能交通系统 交通工程 教学改革 Intelligent Transportation System transportengineering teaching reform
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