Analysis of log files in LMS elogika
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86095552" target="_blank" >RIV/61989100:27240/15:86095552 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Analysis of log files in LMS elogika
Original language description
Our learning management system eLogika, which is mainly focused on teaching logic, logs the amount of data about students' behavior in this system. These data are used to describe the behavior of individual users through reduced profiles. These profiles are the basis for identifying behavioral patterns of students. Detection of students with atypical behavior and identifying groups of students with the characteristic behavioral patterns are the other stages of data analysis. The aim of these analyses is to create a system that, based on knowledge from previous years, highlights a selected group of students and provides them relevant information.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA15-13277S" target="_blank" >GA15-13277S: Hyperintensional logic for natural language analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mendel 2015
ISBN
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ISSN
1803-3814
e-ISSN
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Number of pages
8
Pages from-to
205-212
Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Brno
Event date
Jun 23, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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