Using Process Mining Techniques to Discover Student’s Activities, Navigation Paths, and Behavior in LMS Moodle

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F19%3AA0000051" target="_blank" >RIV/47813059:19520/19:A0000051 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-030-35343-8_14" target="_blank" >http://dx.doi.org/10.1007/978-3-030-35343-8_14</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-35343-8_14" target="_blank" >10.1007/978-3-030-35343-8_14</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using Process Mining Techniques to Discover Student’s Activities, Navigation Paths, and Behavior in LMS Moodle

Popis výsledku v původním jazyce

This study explores using process mining techniques for analysis of Moodle logs. This topic is very interesting because the use and applications of e-learning solutions have been rising for last decade in the Czech Republic in both academic and commercial area. This study explores using process mining techniques to discover student’s activities, navigation paths, and behavior in LMS Moodle. Data from 701 students from Silesian University in Opava, School of Business Administration in Karvina who followed an online course called “Informatics for Economists I” was used. The events log is from the winter semester of the academic year 2016/2017 and consists of 32 984 events, 33 activities which were conducted by 701 students. It was applied process mining techniques that are implemented in a tool called Disco by Fluxicon. The reader should learn from this study about current promising techniques for analyzing data from e-learning systems and especially about using process mining techniques for Moodle events log analysis.

Název v anglickém jazyce

Using Process Mining Techniques to Discover Student’s Activities, Navigation Paths, and Behavior in LMS Moodle

Popis výsledku anglicky

This study explores using process mining techniques for analysis of Moodle logs. This topic is very interesting because the use and applications of e-learning solutions have been rising for last decade in the Czech Republic in both academic and commercial area. This study explores using process mining techniques to discover student’s activities, navigation paths, and behavior in LMS Moodle. Data from 701 students from Silesian University in Opava, School of Business Administration in Karvina who followed an online course called “Informatics for Economists I” was used. The events log is from the winter semester of the academic year 2016/2017 and consists of 32 984 events, 33 activities which were conducted by 701 students. It was applied process mining techniques that are implemented in a tool called Disco by Fluxicon. The reader should learn from this study about current promising techniques for analyzing data from e-learning systems and especially about using process mining techniques for Moodle events log analysis.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Innovative Technologies and Learning. ICITL 2019. Lecture Notes in Computer Science, vol 11937.

ISBN

9783030353

ISSN

—

e-ISSN

—

Počet stran výsledku

10

Strana od-do

129-138

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Tromso, Norway

Datum konání akce

1. 1. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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