Analysis of student behavior in virtual learning environment depending on student assessments

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F15%3A39902625" target="_blank" >RIV/00216275:25410/15:39902625 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ICETA.2015.7558496" target="_blank" >http://dx.doi.org/10.1109/ICETA.2015.7558496</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICETA.2015.7558496" target="_blank" >10.1109/ICETA.2015.7558496</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of student behavior in virtual learning environment depending on student assessments

Popis výsledku v původním jazyce

Virtual learning environment can nowadays provide good foundation for students to successfully manage any subject that is educated with the help of virtual learning environment. Backward analysis of student behavior in electronic course depending on their final marks, may reveal weaknesses of the course, or possible problem areas of teaching. This research is focused on analyzing the influence of behavior of students in electronic course on their final marks at the end of term. The authors present a detailed log file preprocessing procedure that makes it possible to examine the behavior of students in a virtual learning environment during the term. Individual electronic course activities were divided into interrelated logical groups and based on that were identified association rules between the content - course activities - course modules and the final marks. The rules represent the access of a particular group of students, who were divided according their final marks, to the created activity groups. The results of the analysis showed that the final marks correspond to the behavior of students in virtual learning environment. Despite that the research did not confirm the high degree of dependency, the results could help improve the teaching using the electronic course. The results also showed that repeating autotest tasks to improve the knowledge necessary for the final examination, did not bring the expected effect.

Název v anglickém jazyce

Analysis of student behavior in virtual learning environment depending on student assessments

Popis výsledku anglicky

Virtual learning environment can nowadays provide good foundation for students to successfully manage any subject that is educated with the help of virtual learning environment. Backward analysis of student behavior in electronic course depending on their final marks, may reveal weaknesses of the course, or possible problem areas of teaching. This research is focused on analyzing the influence of behavior of students in electronic course on their final marks at the end of term. The authors present a detailed log file preprocessing procedure that makes it possible to examine the behavior of students in a virtual learning environment during the term. Individual electronic course activities were divided into interrelated logical groups and based on that were identified association rules between the content - course activities - course modules and the final marks. The rules represent the access of a particular group of students, who were divided according their final marks, to the created activity groups. The results of the analysis showed that the final marks correspond to the behavior of students in virtual learning environment. Despite that the research did not confirm the high degree of dependency, the results could help improve the teaching using the electronic course. The results also showed that repeating autotest tasks to improve the knowledge necessary for the final examination, did not bring the expected effect.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

ICETA 2015 - 13th IEEE International Conference on Emerging eLearning Technologies and Applications : Proceedings

ISBN

978-1-4673-8534-3

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

1-6

Název nakladatele

IEEE (Institute of Electrical and Electronics Engineers)

Místo vydání

New York

Místo konání akce

Starý Smokovec

Datum konání akce

26. 11. 2015

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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