Data Mining Techniques in Education

Proceedings of the international conference AMIS ASE Bucharest, 2006

22 Pages Posted: 23 Jan 2014

See all articles by Dinu Airinei

Dinu Airinei

Alexandru Ioan Cuza University - Faculty of Economics and Business Administration

Daniel Homocianu

Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, Department of Accounting, Business Information Systems and Statistics

Date Written: 2006

Abstract

A great challenge in nowadays superior education is to anticipate a certain behavior of a student: request for additional assistance, enrollment in a particular study program, exam promotion rate, mean value of grades, transfer risk, etc.

Many institutions can better deal with these student and graduate challenges using some data analysis techniques. As a fairly recent computing topic, Data Mining - also known as Knowledge-Discovery in Databases -- is a process of automatically searching large volumes of data for patterns. This process uses a lot of traditional computational techniques from statistics, machine learning and pattern recognition. These techniques are suited for the prediction of individual behaviors with high accuracy.

The aim of the paper is to investigate the capabilities of Data Mining and its applications in superior education through a case study based on real data.

Keywords: Behavior in Education, Data Mining, DM Techniques

JEL Classification: D79

Suggested Citation

Airinei, Dinu and Homocianu, Daniel, Data Mining Techniques in Education (2006). Proceedings of the international conference AMIS ASE Bucharest, 2006. Available at SSRN: https://ssrn.com/abstract=2382576

Dinu Airinei

Alexandru Ioan Cuza University - Faculty of Economics and Business Administration ( email )

Bd. Carol I no.22
Iasi, RO-700505
Romania

Daniel Homocianu (Contact Author)

Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, Department of Accounting, Business Information Systems and Statistics ( email )

Romania

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