超级计算支持的高职程序设计课程混合式教学模式探析——以“Python数据采集与分析”为例

Research on the Mixed Teaching Mode of Higher Vocational Programming Course Supported by Supercomputing——Taking“Python Data Collection and Analysis”as an Example

为响应疫情期间教育部“停课不停学”的号召和适应“互联网+”时代的教学,以“Python数据采集与分析”为例,探索超级计算支持的高职程序设计课程混合式教学模式。该课程采用“线上线下混合教学+翻转课堂”的模式进行教学,主要采用项目为导向、任务为驱动的教学策略,学生使用校企合作应用级项目“智能公交”工作中的真实运行数据进行数据分析,解决真实问题,完成项目实操任务。教学中创新地将世界顶级水平的超级工作站NVIDIA DGX Station用于教学中,支持教学中数据分析的高性能计算。教学团队自主研发过程蓝图建模工具和在线实训平台,前者使编程过程可视化,帮助学生重视编程内部的逻辑、细化编程流程;后者能有效支持线上线下混合教学,教师可直接在后台实时跟进学生完成情况。

To respond to the call of the Ministry of Education to"suspend classes without stopping classes"and to better adapt to the teaching in the"Internet plus"era,the course of“Python Data Collection and Analysis”is taken as an example to explore the mixed teaching mode of higher vocational programming course supported by supercomputing,which adopts the online and offline mixed teaching+flipped classroom model for teaching,with the project-oriented and task-driven teaching strategy.Students use the real operation data in the school enterprise cooperation application level project"Intelligent Public Transport"to analyze the data,solve the real problems and complete the project practical tasks.In teaching,NVIDIA DGX Station,a world-class super workstation,was innovatively used in teaching to support high-performance computing of data analysis in teaching.The teaching team independently develops a procedure blueprint modeling tool and an online training platform.The former visualizes the programming process,helps students attach importance to the internal logic of programming,and refines the programming process;The latter can effectively support online and offline hybrid teaching,and teachers can directly follow up students'completion in real time in the background.