基于“雨课堂”的智能车辆课程课内实验教学实践

Practice of in-class experiment teaching for intelligent vehicle course based on “Rain classroom”

智能车辆课程是面向机械工程专业研究生的专业核心课。为了使学生更好地理解和使用理论知识,设计了课内实验内容。首先基于"雨课堂"提供的实时在线统计分析工具,对学习者的智能车辆技术背景进行分析,然后基于"雨课堂"分组工具对选课学生进行随机分组,再借鉴翻转课堂模式并结合"雨课堂"智慧教学工具,使学生以小组为单位,通过自主学习、组内协作学习、团队探究学习等完成课内实验。实践效果显示,通过自主学习和团队协作,学生的创新思维和解决实际问题能力得到提升。

The intelligent vehicle course is a core course for graduate students majoring in mechanical engineering. In order to make the students understand and use the theoretical knowledge better, the experiment content in class is designed. Firstly, this paper analyzes the learners’ technical background of intelligent vehicles based on the real-time online statistical analysis tool provided by the "Rain classroom". Then, based on the "Rain classroom" grouping tool, the students are randomly divided into groups, and finally the flipped classroom model and the "Rain classroom" intelligent teaching tool are used for reference so that the students can complete the in-class experiment through independent learning, in group collaborative learning and team explorative learning. The practical effect shows that students’ innovative thinking and practical problem-solving ability can be improved through the independent learning and teamwork.