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作 者:曹松晓 宋涛 CAO Song-xiao;SONG Tao(College of Metrology and Measurement Engineering,China Jiliang University,Hangzhou,Zhejiang 310018,China)
机构地区:[1]中国计量大学计量测试工程学院,浙江杭州310018
出 处:《教育教学论坛》2023年第44期154-157,共4页Education And Teaching Forum
基 金:2020年度中国计量大学研究生课程和案例库建设项目“Python机器学习”(2020YJSKC02)。
摘 要:“Python机器学习”课程融合了当前热门的研究方向和应用,是一门综合性很强的课程。为了探索一种适合中国计量大学学生的综合式课堂教学模式,通过综合采用根据每学年学生不同的基础,动态调整编程教学比重;紧跟学术前沿,实时更新教学内容;当堂编程,边学边练;采用翻转课堂,鼓励学生分享学习心得和研究方法心得;注重板书,从零推导;线上线下,同步教学;项目导向,实战实练等多重举措,达到激发学生的内在动力和学习热情,提高学生的获得感和成就感的目的。经过两年的教学实践,该教学模式广受学生欢迎,取得了较好的教学效果。Python Machine Learning combines two current research and application hotspots,and is a highly comprehensive course.In order to explore a comprehensive classroom teaching mode suitable for the students,this teaching reform project adopts a comprehensive method to dynamically adjust the proportion of programming teaching according to the different student bases of each class,keep up with the academic frontier in the classroom,and update the teaching content in real time.Many methods are taken,like“learning while practicing”,flipped classroom,encouraging students to share their learning and research methods,focusing on writing on the blackboard,in-depth lectures,project orientation,practical exercises and other multiple measures,so as to arouse students’inner motivation,stimulate enthusiasm for participation,and improve students’enthusiasm for participation and sense of achievement and achievement.After two years of teaching practice,it shows that the teaching mode is widely welcomed by students and has achieved good results.
分 类 号:G642.0[文化科学—高等教育学]
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