Analysis of student's behavior in LMS Elogika

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86095550" target="_blank" >RIV/61989100:27240/15:86095550 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.5593/SGEM2015/B21/S7.004" target="_blank" >http://dx.doi.org/10.5593/SGEM2015/B21/S7.004</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5593/SGEM2015/B21/S7.004" target="_blank" >10.5593/SGEM2015/B21/S7.004</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of student's behavior in LMS Elogika

Popis výsledku v původním jazyce

Nowadays we are surrounded by many information systems we need to work with. These systems gather lots of data during our log in session. Stored data may be interesting from the information point of view such as information about behaving in the system and get behavioral patterns, recommending information etc. 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 analyzes is to create a system that, based on knowledge from previous years, highlights a selected group of students and provides them relevant information. Our approach is focused on log analysis whose results can be used to describe the behavior of students throughout the LMS or in online tests related to students' final success in particular course.

Název v anglickém jazyce

Analysis of student's behavior in LMS Elogika

Popis výsledku anglicky

Nowadays we are surrounded by many information systems we need to work with. These systems gather lots of data during our log in session. Stored data may be interesting from the information point of view such as information about behaving in the system and get behavioral patterns, recommending information etc. 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 analyzes is to create a system that, based on knowledge from previous years, highlights a selected group of students and provides them relevant information. Our approach is focused on log analysis whose results can be used to describe the behavior of students throughout the LMS or in online tests related to students' final success in particular course.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA15-13277S" target="_blank" >GA15-13277S: Hyperintensionální logika pro analýzu přirozeného jazyka</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

SGEM 2015 : 15th international multidisciplinary scientific geoconference : conference proceedings : 18-24 June, 2015, Albena, Bulgaria. Volume I, Informatics

ISBN

978-619-7105-34-6

ISSN

1314-2704

e-ISSN

—

Počet stran výsledku

13

Strana od-do

22-34

Název nakladatele

STEF92 Technology Ltd.

Místo vydání

Sofia

Místo konání akce

Albena

Datum konání akce

18. 6. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000371599500004