Study of Applying Data Mining Methods to the Performance of Student’s Learning and the Strategy of Enrollment

• Main Authors: YANG TENG CHUN, 楊登竣
• Other Authors: Jian-Shiun Hu
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/34521383149956401784

碩士 === 玄奘大學 === 資訊科學學系碩士班 === 96 === For the past ten years, the mass media usually reported , because the college entrance examination rate was getting higher and higher by year and the college entrance examination requests was getting lower and lower , the learning ability of the university students was worse and worse.This still needs to be confirmed.According to the database of the college students researches the group learning of the college students,we can provide the enrolled new students strategy of university to reference. This research studies samples of all university students from 86 to 95 academic year and Department Information Management students from 86 to 91 academic year of Hsuan Chuang University ,Using the Cluster Analysis and Association rule of Data Mining to study the relation of gender,the different ways of the college entrance,the status as a student and learning result show of graduated students.According to the result of Data Mining to realize the group learning of students,we can provide the enrolled new students strategy and suggestion for the enrolled new students reference of school.