Mining Skills from Educational Data for Project Recommendations

被引：0
|
作者：
Kordik, Pavel [1 ]
Kuznetsov, Stanislav [1 ]
机构：
[1] Czech Tech Univ, Fac Informat Technol, CR-16635 Prague, Czech Republic
来源：
INTERNATIONAL JOINT CONFERENCE: CISIS'15 AND ICEUTE'15 | 2015年 / 369卷
关键词：
Educational data mining; Data transformation; Data warehouse; Student skills; Ontology;
D O I：
10.1007/978-3-319-19713-5_54
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We are focusing on an issue regarding how to actually recognize the skills of students based on educational results. Existing approaches do not offer suitable solutions. This paper will introduce algorithms making possible to aggregate educational results using ontology. We map the aggregated results, using various methods, as skills that are understandable for external partners and usable to recommend students for projects and projects for students. We compare the results of individual algorithms with subjective assessments of students, and we apply a recommendation algorithm that closely models these skills.
引用
收藏
页码：617 / 627
页数：11
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