A Decision Support System for Predicting Students' Performance

Autor/inn/en	Livieris, Ioannis E.; Mikropoulos, Tassos A.; Pintelas, Panagiotis
Titel	A Decision Support System for Predicting Students' Performance
Quelle	In: Themes in Science and Technology Education, 9 (2016) 1, S.43-57 (15 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1792-8788
Schlagwörter	Predictive Measurement; Decision Support Systems; Academic Achievement; Exit Examinations; Prediction; Predictive Validity; Database Management Systems; Student Evaluation; Data Analysis; Secondary School Mathematics; Database Design; Computer System Design; Courseware; Foreign Countries; Greece + Suchen Sie Ihr Suchwort? Entscheidungshilfe; Schulleistung; Final examination; Abschlussprüfung; Vorhersage; Datenbanksystem; Schulnote; Studentische Bewertung; Auswertung; Lernsoftware; Ausland; Griechenland
Abstract	Educational data mining is an emerging research field concerned with developing methods for exploring the unique types of data that come from educational context. These data allow the educational stakeholders to discover new, interesting and valuable knowledge about students. In this paper, we present a new user-friendly decision support tool for predicting students' performance concerning the final examinations of a school year. Our proposed tool is based on a hybrid predicting system incorporating a number of possible machine learning methods and achieves better performance than any examined single learning algorithm. Furthermore, significant advantages of the presented tool are that it has a simple interface and it can be deployed in any platform under any operating system. Our objective is that this work may be used to support student admission procedures and strengthen the service system in educational institutions. (As Provided).
Anmerkungen	Themes in Science and Technology Education. The Educational Approaches to Virtual Reality Technologies Laboratory, University of Ioannina, Ioannina, GR 45110, Greece. Tel: +30-2651005697; Fax: +30-2651005854; Web site: http://earthlab.uoi.gr/theste
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01