基于混合聚类的层次教学模式分组实践  

The Grouping Practice of Stratified Teaching Model Based on Hybrid Clustering

作　　者：张铁军[1] 贾银江[1] 赵峻颖[1] 

机构地区：[1]东北农业大学,黑龙江哈尔滨150030

出　　处：《东北农业大学学报（社会科学版）》2012年第6期143-144,共2页Journal of Northeast Agricultural University:Social Science Edition

基　　金：黑龙江省教育科学"十二五"规划课题"高校计算机专业实验分层次教学模式的研究与实践"(编号:GBD1211007)

摘　　要：在高校计算机基础课中,由于学生的计算机学习能力及兴趣取向不同,为了提高教学质量和效果,有必要有针对性地实施分层次教学。本文通过采用K-prototypes混合聚类分析的方法,把学生的兴趣与能力分别用分类属性和数值属性加以标识,对学生进行教学分组,为有效实施分层次教学模式提供保障。For the computer basic courses in institutes of higher education, it is essential to carry out the stratified teaching in view of students＇ different capabilities and interests in order to achieve the desired teach ing quality and effect. This paper applies the K prototypes clustering analysis method to group students in the teaching process according to their different capabilities and interests so as to teach students in accordance with their capabilities. In this way the effective stratified teaching mode can be achieved.

关 键 词：分层教学 教学分组 混合聚类 

分 类 号：H319[语言文字—英语]