eLogika - the system for teaching logic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86091385" target="_blank" >RIV/61989100:27240/14:86091385 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.3233/978-1-61499-472-5-291" target="_blank" >http://dx.doi.org/10.3233/978-1-61499-472-5-291</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/978-1-61499-472-5-291" target="_blank" >10.3233/978-1-61499-472-5-291</a>
Alternative languages
Result language
angličtina
Original language name
eLogika - the system for teaching logic
Original language description
In this paper we introduce the Learning Management System (LMS) eLogika that has been developed in our department for teaching mathematical logic. There were many reasons that led us to the decision to develop such a system, including inter alia a greatamount of students enrolled for the courses on logic. Yet the most important reason was a specific character of logic education. As a result, 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 logic tasks. The system makes it possible to adjust the level of particular tests according to students' knowledge level. To this end we developed afeedback 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 m
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Frontiers in Artificial Intelligence and Applications. Volume 272
ISBN
978-1-61499-471-8
ISSN
0922-6389
e-ISSN
—
Number of pages
17
Pages from-to
291-307
Publisher name
IOS Press
Place of publication
Amsterodam
Event location
Kiel
Event date
Jun 3, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—