数据挖掘算法微课程教学设计研究  

Research on the Design of Micro-Course Teaching for Data Mining Algorithm

作　　者：白杨[1] Bai Yang(School of Information Engineering,Eastern Liaoning University,Dandong Liaoning 118003,China)

机构地区：[1]辽东学院信息工程学院,辽宁丹东118003

出　　处：《信息与电脑》2018年第4期239-240,共2页Information & Computer

基　　金：辽东学院科研基金重点培育项目"大数据环境下融合情感语义特征的个性化学习模式研究"(项目编号:2016ZD001)

摘　　要：微课程建设是构建学习型社会的重要内容之一。根据数据挖掘课程学科交叉性强、知识点难度高、主题模块明确的特点,设置了以算法为微课主题的数据挖掘微课程设计方案。以Apriori关联规则算法为例,从内容选择、设计思路、实现方法方面阐述微课程的开发与制作流程。从教学实践效果可知,该微课程能提高学生的学习兴趣和自主学习能力,不仅为数据挖掘课程提供辅助资源,同时,也为其他程序设计类课程的教学设计提供思路。The construction of micro-course is one of the important contents of building a learning society.According to the characteristics of data mining,such as strong interdisciplinary,high knowledge point and clear theme module,we set up a microcourse design plan for data mining algorithm based on algorithm.Taking an association rule algorithm“Apriori”as an example,this paper expounds the development and process of micro-course from content selection,design idea and implementation method.From the teaching practice,we can see that this micro-course can improve students'interest in learning and self-learning ability,which is not only learning assistant resources of data mining course,but also provides ideas for teaching design of other programming courses.

关 键 词：数据挖掘算法 微课程 关联规则 

分 类 号：G642.3[文化科学—高等教育学]