A new student performance analysing system using knowledge discovery in higher educational databases

Authors:
Huseyin Guruler;Ayhan Istanbullu;Mehmet Karahasan
Affiliations:
Mugla University, Department of Electronics and Computer Education, Faculty of Technical Education, Mugla, Turkey;Balikesir University, Department of Computer Engineering, Engineering Faculty, Balikesir, Turkey;Mugla University, Department of Statistics, Faculty of Arts and Sciences, Mugla, Turkey
Venue:
Computers & Education
Year:
2010

Citing 11
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Abstract

Knowledge discovery is a wide ranged process including data mining, which is used to find out meaningful and useful patterns in large amounts of data. In order to explore the factors having impact on the success of university students, knowledge discovery software, called MUSKUP, has been developed and tested on student data. In this system a decision tree classification is employed as a data mining technique. With this software system all the tasks involved in the knowledge discovery process are kept together. The advantage of this approach is to have access to all the functionalities of SQL server and Analysis Services through single software. The study was carried out on the data from university students. According to results of the study, the types of registration to the university and the income levels of the students' family were found to be associated with student success.