基于高中信息技术考试成绩挖掘的精准化教学辅导初探  

A Preliminary Study of Precise Teaching Guidance Based on Examination Results Mining of Information Technology in High School

作　　者：敖培 AO Pei(Shanghai Jinyuan Senior High School,Shanghai 200333,China)

机构地区：[1]上海市晋元高级中学,上海200333

出　　处：《教育教学论坛》2018年第44期201-202,共2页Education And Teaching Forum

摘　　要：本文首先分析了信息技术考试成绩分析的必要性。在此基础上,以我校高一某班级第一学期信息技术期末考试成绩为研究对象,采用K-Means聚类算法对学生群体分类,针对不同分类学生的特点提出了相应的差异化教学辅导策略;采用Apriori关联规则算法对学生知识点掌握情况进行了关联分析,针对分析结果提出了相应的精细化教学辅导策略,为教师精准化教学辅导提供有益的指导。Firstly,the necessity of analyzing the results of the information technology examination is analyzed in this paper. Secondly,the results of first semester final exam of information technology of one class are taken as the research object in my high school. K-Means clustering algorithm is used to classify the students. Based on the different characteristics of classified students,the corresponding difference teaching and tutoring strategy is put forward. Finally, students＇ mastery of knowledge points is analyzed by using Apriori association rules algorithm. In order to provide useful guidance for precise teaching of teachers,the corresponding strategies of fine teaching is put forward according to the results of the analysis.

关 键 词：考试成绩挖掘 K-MEANS算法 APRIORI算法 教学辅导策略 

分 类 号：G642.0[文化科学—高等教育学]