DOLÁK, Radim. Using Process Mining Techniques to Discover Student’s Activities, Navigation Paths, and Behavior in LMS Moodle. In Rønningsbakk L., Wu TT., Sandnes F., Huang YM. Innovative Technologies and Learning. ICITL 2019. Lecture Notes in Computer Science, vol 11937. Cham: Springer. s. 129-138. ISBN 978-30303-5-3. doi:10.1007/978-3-030-35343-8_14. 2019.
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Základní údaje
Originální název Using Process Mining Techniques to Discover Student’s Activities, Navigation Paths, and Behavior in LMS Moodle
Autoři DOLÁK, Radim (203 Česká republika, garant, domácí).
Vydání Cham, Innovative Technologies and Learning. ICITL 2019. Lecture Notes in Computer Science, vol 11937. od s. 129-138, 10 s. 2019.
Nakladatel Springer
Další údaje
Originální jazyk angličtina
Typ výsledku Stať ve sborníku
Obor 10201 Computer sciences, information science, bioinformatics
Utajení není předmětem státního či obchodního tajemství
Forma vydání tištěná verze "print"
Kód RIV RIV/47813059:19520/19:A0000051
Organizační jednotka Obchodně podnikatelská fakulta v Karviné
ISBN 978-30303-5-3
Doi http://dx.doi.org/10.1007/978-3-030-35343-8_14
Klíčová slova anglicky E-learning; Moodle; Process mining; DISCO
Příznaky Recenzováno
Změnil Změnil: Ing. Radim Dolák, Ph.D., učo 20846. Změněno: 9. 1. 2020 11:09.
Anotace
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.
VytisknoutZobrazeno: 28. 3. 2024 21:19