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Title: Improving quality of educational processes providing new knowledge using data mining techniques
Authors: Χάλαρης, Μανώλης
Γκρίτζαλης, Στέφανος
Μαραγκουδάκης, Μανώλης
Σγουροπούλου, Κλειώ Ε.
Τσολακίδης, Αναστάσιος
Item type: Journal article
Keywords: Τεχνικές εξόρυξης δεδομένων;Ανώτατα Εκπαιδευτικά Ιδρύματα;Εκπαιδευτικό πρόγραμμα;Εκπαιδευτική εξόρυξη δεδομένων;Απόφαση στήριξης;Μεθοδολογία CRISPDM;Data mining techniques;Higher Education Institutes;Educational Processes;Educational Data Mining;Decision support;CRISPDM methodology
Subjects: Computer science
Issue Date: 15-May-2015
Date of availability: 15-May-2015
Publisher: Elsevier
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.
Language: English
Citation: 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.
Journal: Procedia- Social and behavioral sciences
Type of Journal: With a review process (peer review)
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
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