摘要
随着智能交通技术的不断发展,对交通类专业的实践教学模式以及教学目标提出了新的要求。文章分别从教学体系、教学内容、教学模式以及教学评价四个方面,分析阐述了融合人工智能的交通类实践课程建设方法。实践结果表明,文章所提方法可进一步提升智能交通类课程的教学质量,满足新工科对复合创新型人才的发展需求。
With the continuous development of intelligent transportation technology,there are new requirements for the practical teaching mode and teaching objectives of transportation majors.This paper analyzes and expounds the construction methods of traffic practical courses integrating artificial intelligence from four aspects:teaching system,teaching content,teaching mode and teaching evaluation.The practice results show that the proposed method can further improve the teaching quality of intelligent transportation courses and meet the development needs of new engineering disciplines for compound innovative talents.
作者
高锐锋
施佺
周晨璨
GAO Ruifeng;SHI Quan;ZHOU Chencan(School of Transportation and Civil Engineering,Nantong University,Nantong,Jiangsu 226019)
出处
《科教导刊》
2022年第25期73-75,共3页
The Guide Of Science & Education
基金
中国交通教育研究会2020-2022年度交通教育科学研究课题(JTYB20-49、JTZD20-06)
江苏省现代教育技术研究2021年度课题(2021-R-92284)
关键词
人工智能
实践课程
教学评价
artificial intelligence
practical courses
teaching evaluation
