Title: Identification of differences in university e-environment between selected EU and non-EU countries using knowledge mining methods: project IRNet case study

Authors: Martin Drlík; Peter Švec; Jozef Kapusta; Michal Munk; Tatiana Noskova; Tatiana Pavlova; Olga Yakovleva; Nataliia Morze; Eugenia Smyrnova-Trybulska

Addresses: Faculty of Natural Sciences, Constantine the Philosopher University in Nitra, Tr. A. Hlinku 1, 949 01 Nitra, Slovakia ' Faculty of Natural Sciences, Constantine the Philosopher University in Nitra, Tr. A. Hlinku 1, 949 01 Nitra, Slovakia ' Faculty of Natural Sciences, Constantine the Philosopher University in Nitra, Tr. A. Hlinku 1, 949 01 Nitra, Slovakia ' Faculty of Natural Sciences, Constantine the Philosopher University in Nitra, Tr. A. Hlinku 1, 949 01 Nitra, Slovakia ' Institute of Computer Science and Technology Education, Herzen State Pedagogical University of Russia, 6 Kazanskaya st., 191186, St. Petersburg, Russia ' Institute of Computer Science and Technology Education, Herzen State Pedagogical University of Russia, 6 Kazanskaya st., 191186, St. Petersburg, Russia ' Institute of Computer Science and Technology Education, Herzen State Pedagogical University of Russia, 6 Kazanskaya st., 191186, St. Petersburg, Russia ' Faculty of Information Technology and Management, Borys Grinchenko Kyiv University, 18/2 Bulvarno-Kudriavska Str, 04053 Kyiv, Ukraine ' The Faculty of Ethnology and Sciences of Education University of Silesia, Bielska 62, 43-400 Cieszyn, Poland

Abstract: We propose indicators for evaluation of e-environment and evaluation of ICT competences. We analyse data gathered from the research, which was conducted in several European and non-European universities joined in the 7RP project IRNet. One part of the survey was focused on identifying the ways students' use IT tools available in the e-environments of the universities and outlining possible ways for improving educational interactions in a network learning community. We tried to find groups of respondents, which differed in their answers to the questionnaire. We tried to discover knowledge and characterise universities based on the survey results. The most important questions identified in decision rules divide the respondents of the questionnaire into EU students and non-EU students' groups. We found some differences between answers of students which belong to each of these groups. This case study provided an example of further analysis of the survey conducted in several participating countries.

Keywords: knowledge mining; university e-environment; IRNet project; decision trees; questionnaire analysis; e-learning; data mining.

DOI: 10.1504/IJWBC.2017.084416

International Journal of Web Based Communities, 2017 Vol.13 No.2, pp.236 - 261

Received: 05 Feb 2016
Accepted: 17 Oct 2016

Published online: 19 May 2017 *

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