A decisional tool for quality improvement in higher education

Author

Selmoune, Nazih ; Alimazighi, Zaia

Author_Institution

Lab. des Syst. Informatiques (LSI) USTHB, Algiers

fYear

2008

Firstpage

1

Lastpage

6

Abstract

In the actual economical context, characterized by the competition pressures, the use of decisional tools become a valuable advantage to make the difference. The concepts of data warehouse, multidimensional model and data mining, are essentials in the design and the deployment of such tools. In this paper we describe the design and implementation of a decisional tool, dedicated to a no lucrative goal institution. Our case study is a university that hopes to improve the quality of his service, by analyzing the pedagogical results, to discover the success and failure factors, and attempt to increase success chances of students. In this perspective we use OLAP (Online Analytical Process) and association rules discovery techniques.

Keywords

data mining; data warehouses; educational administrative data processing; further education; OLAP; association rules discovery; data mining; data warehouse; decisional tool; higher education quality improvement; multidimensional model; online analytical process; pedagogy; Association rules; Data analysis; Data mining; Data warehouses; Failure analysis; Fellows; Information analysis; Large scale integration; Multidimensional systems; Process design; Data Mining; Data warehouse; OLAP; multidimensional model;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on

Conference_Location

Damascus

Print_ISBN

978-1-4244-1751-3

Electronic_ISBN

978-1-4244-1752-0

Type

conf

DOI

10.1109/ICTTA.2008.4530368

Filename

4530368