A prototype system for educational data warehousing and mining

Abstract

Universities are encountering growing demands by legislators and communities who are clamoring for valuable information about student achievement and university system accountability. Not only are universities required to measure annual progress for every single student, but government (through ministries for education) aid is directly linked to these results. The department of Informatics of Aristotle university of Thessaloniki has developed a data warehouse solution that assists the analysis of educational data. In this paper we present the design and development of the proposed data warehouse solution, which facilitates better and more thorough analysis of department's data. The proposed system constitutes an integrated platform for a thorough analysis of department's past data. Analysis of data could be achieved with OLAP operations. Moreover, we propose a thorough statistical analysis with an array of data mining techniques, that are appropriate for the examined tasks. © 2008 IEEE.