Naslov
Data Mining and Statistical Analyses for High Education Improvement

Autori
Vranić, Mihaela ; Pintar, Damir ; Skočir, Zoran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 31st international convention on information and communication technology, electronics and microelectronics - MIPRO 2008, Vol. V. conferences: DE, ISS, miproBIS, LG, SP / Čišić, Dragan ; Hutinski, Željko ; Baranović, Mirta ; Mauher, Mladen ; Dragšić Veljko - Zagreb : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2008, 164-169

ISBN
978-953-233-040-3

Skup
31st international convention on information and communication technology, electronics and microelectronics - MIPRO 2008

Mjesto i datum
Opatija, Hrvatska, 26.05.2008. - 30.05.2008

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
education; testing objectivity; statistical analyses; predictive data mining

Sažetak
Knowledge creation is essential for process improvement in every type of environment. This is also the case in lecturing and grading students at universities. In this paper a visual representation of data is combined with statistical analysis in order to be used for analyzing objectivity of student testing. Predictive data mining is used for timely recognition of students who require additional attention. Regression analysis and decision trees are methods used for this student selection. Comparison of these two methods, as well as a simple method of score border is also given.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA