Success Prediction System for Student Counseling using Data Mining

被引：3
|
作者：
Frochte, Joerg [1 ]
Bernst, Irina [1 ]
机构：
[1] Bochum Univ Appl Sci, Dept Elect Engn & Comp Sci, D-42579 Heiligenhaus, Germany
来源：
KDIR: PROCEEDINGS OF THE 8TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL. 1 | 2016年
关键词：
Data Mining; Classification; Supervised Learning; Information Privacy; Tertiary Education;
D O I：
10.5220/0006036401810188
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A framework how to use data mining of central exam data for the prediction of student success in bachelor degree courses is presented. For the prediction a supervised learning approach is used based on successful and unsuccessful student biographies. We develop a traffic light rating system and present results for two different kinds of bachelor degree courses; one in economics and one in engineering. We discuss applications for students and student counseling institutions as well as the limitations dealing with information privacy aspects, especially under the conditions regarding data mining in Germany.
引用
收藏
页码：181 / 188
页数：8
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