摘要
将数据挖掘算法应用到实践教学当中,使用MOOC在线课程与翻转课堂相结合的教学模式构建程序设计类实验课程平台。课前学生通过MOOC视频和编程练习巩固所学内容,使用数据挖掘中的K-Means算法对学生学习效果进行分析,个性化推送实验任务。激发了学生的学习热情,提高了学生的实践编程能力,达到了良好的教学效果。
The data mining algorithm is applied to the practical teaching,and by using the teaching mode of combining the MOOC online courses with the flipped classroom,the experimental course platform for the program design is established.The students can consolidate the knowledge they have learned through the MOOC video and programming exercises before the class and use the K-Means algorithm in the data mining to analyze the learning effect and complete the individualized experimental tasks,which has aroused the students’ enthusiasm for learning,improved their ability of practical programming,and achieved the good teaching effect.
作者
肖巍
韦军
郑婷元
Xiao Wei;Wei Jun;Zheng Tingyuan(School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China;Educational Technology Center, Jilin University, Changchun 130012, China)
出处
《实验技术与管理》
CAS
北大核心
2018年第5期194-196,共3页
Experimental Technology and Management
基金
吉林省高等教育学会2015年度高教科研课题"程序设计类课程MOOC翻转实验课堂的研究与实践"(JGJX2015D49)