Detailed Information on Publication Record
2019
Using Process Mining Techniques to Discover Student’s Activities, Navigation Paths, and Behavior in LMS Moodle
DOLÁK, RadimBasic information
Original name
Using Process Mining Techniques to Discover Student’s Activities, Navigation Paths, and Behavior in LMS Moodle
Authors
DOLÁK, Radim (203 Czech Republic, guarantor, belonging to the institution)
Edition
Cham, Innovative Technologies and Learning. ICITL 2019. Lecture Notes in Computer Science, vol 11937. p. 129-138, 10 pp. 2019
Publisher
Springer
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
RIV identification code
RIV/47813059:19520/19:A0000051
Organization unit
School of Business Administration in Karvina
ISBN
978-30303-5-3
Keywords in English
E-learning; Moodle; Process mining; DISCO
Tags
Reviewed
Změněno: 9/1/2020 11:09, Ing. Radim Dolák, Ph.D.
Abstract
V originále
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.