Using Process Mining Techniques to Discover Student’s Activities, Navigation Paths, and Behavior in LMS Moodle
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Using Process Mining Techniques to Discover Student’s Activities, Navigation Paths, and Behavior in LMS Moodle
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Innovative Technologies and Learning. ICITL 2019. Lecture Notes in Computer Science, vol 11937.
ISBN
9783030353
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
129-138
Publisher name
Springer
Place of publication
Cham
Event location
Tromso, Norway
Event date
Jan 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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