DBPapers
10.5593/SGEM2014/B21/S7.020

EDUCATION SUPPORT FOR MATHEMATICAL LOGIC; THE ELOGIKA SYSTEM

M. Mensik,M. Duzi, M. Stavinoha
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-10-0 / ISSN 1314-2704, June 19-25, 2014, Book 2, Vol. 1, 151-160 pp

ABSTRACT
In this paper we introduce the Learning Management System (LMS) eLogika that has been developed for teaching mathematical logic. The eLogika system is a web application that provides didactic material for courses on mathematical logic. Its main goal is an automatic test generation and computer-aided test evaluation based on a large database of exercises. The system makes it possible to adjust the level of particular tests according to students’ knowledge level. To this end we developed a feedback module that makes use of statistics and data mining methods. The system can generate a large number of training as well as exam test variants for each common thematic topic. At the same time it provides effective semi-automatic methods of test rating and evaluation. Since we aim at students’ active work with the system whenever and wherever needed, authentication is an important issue. To this end we exploit three ways of identification, namely biometrics (in particular face recognition), near field communication (NFC) and finger print recognition. Though the latter has been implemented as well, it turned out that in practice this method is not favourable and we do not use it. The face recognition method is applicable and useful in particular for distant students who execute online tests at home without the need to physically come to the university. The NFC method makes use of the fact that current mobiles are equipped with NFC chips. Thus it is easy to recognize students, generate a specific test for them and immediately print the test.

Keywords: E-learning, logic, authentication, biometrics, face recognition.

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