Improving quality of educational processes providing new knowledge using data mining techniques

dc.contributor.author	Χάλαρης, Μανώλης	el
dc.contributor.author	Γκρίτζαλης, Στέφανος	el
dc.contributor.author	Μαραγκουδάκης, Μανώλης	el
dc.contributor.author	Σγουροπούλου, Κλειώ Ε.	el
dc.contributor.author	Τσολακίδης, Αναστάσιος	el
dc.date.accessioned	2015-05-15T10:05:49Z
dc.date.available	2015-05-15T10:05:49Z
dc.date.issued	2015-05-15
dc.identifier.uri	http://hdl.handle.net/11400/10440
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.elsevier.com/	en
dc.subject	Τεχνικές εξόρυξης δεδομένων
dc.subject	Ανώτατα Εκπαιδευτικά Ιδρύματα
dc.subject	Εκπαιδευτικό πρόγραμμα
dc.subject	Εκπαιδευτική εξόρυξη δεδομένων
dc.subject	Απόφαση στήριξης
dc.subject	Μεθοδολογία CRISPDM
dc.subject	Data mining techniques
dc.subject	Higher Education Institutes
dc.subject	Educational Processes
dc.subject	Educational Data Mining
dc.subject	Decision support
dc.subject	CRISPDM methodology
dc.title	Improving quality of educational processes providing new knowledge using data mining techniques	en
heal.type	journalArticle
heal.classification	Computer science
heal.classification	Technology
heal.classification	Πληροφορική
heal.classification	Τεχνολογία
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	http://zbw.eu/stw/descriptor/10470-6
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	N/A-Τεχνολογία
heal.language	en
heal.access	free
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Tμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	2014
heal.bibliographicCitation	Chalaris, M., Gritzalis, S., Maragoudakis, M., Sgouropoulou, C. and Tsolakidis, A. (2014) Improving quality of educational processes providing new knowledge using data mining techniques. Procedia- Social and behavioral sciences, (147). pp.390-397.	en
heal.abstract	One of the biggest challenges that Higher Education Institutions (HEI) faces is to improve the quality of their educational processes. Thus, it is crucial for the administration of the institutions to set new strategies and plans for a better management of the current processes. Furthermore, the managerial decision is becoming more difficult as the complexity of educational entities increase. The purpose of this study is to suggest a way to support the administration of a HEI by providing new knowledge related to the educational processes using data mining techniques. This knowledge can be extracted among other from educational data that derive from the evaluation processes that each department of a HEI conducts. These data can be found in educational databases, in students’ questionnaires or in faculty members’ records. This paper presents the capabilities of data mining in the context of a Higher Education Institute and tries to discover new explicit knowledge by applying data mining techniques to educational data of Technological Educational Institute of Athens. The data used for this study come from students’ questionnaires distributed in the classes within the evaluation process of each department of the Institute.	en
heal.publisher	Elsevier	en
heal.journalName	Procedia- Social and behavioral sciences	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true