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Applying Process Mining Techniques to Learning Management Systems for Educational Process Model Discovery and Analysis (CROSBI ID 654733)

Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija

Etinger, Darko ; Orehovački, Tihomir ; Babić, Snježana Applying Process Mining Techniques to Learning Management Systems for Educational Process Model Discovery and Analysis // Advances in intelligent systems and computing / Karwowski, Waldemar ; Ahram, Tareq (ur.). 2018. str. 420-425 doi: 10.1007/978-3-319-73888-8_65

Podaci o odgovornosti

Etinger, Darko ; Orehovački, Tihomir ; Babić, Snježana

engleski

Applying Process Mining Techniques to Learning Management Systems for Educational Process Model Discovery and Analysis

Based on the event logs gathered from the learning management system in use at the Juraj Dobrila University of Pula, this study attempts to discover frequent behavioural patterns in event logs. The process mining tool Fluxicon Disco was used to create, clean and prepare the event log. The discovered process model represents the starting point for the assessment of the usage behaviour of the Moodle LMS. A procedure was developed in R (R-project) to analyse the process model by using various R based packages for business process analysis (bupaR, edeaR, processmapR). By applying process discovery, a subset technique of process mining, a process model is obtained, describing the usage behaviour based on real facts and evidence. This obtained educational process model can be used to tailor the Moodle LMS to the specific needs of the individual courses. Customized workflows for specific courses can be modelled based on the results of the analysis, improving the usability of the learning management system. The significance and importance of this study is achieved by applying process discovery as a rather new approach to improve the Moodle LMS usability with evidence and actual workflows, rather than to assess the learning management system usage by other techniques, e.g. based on users’ perceptions.

Educational Process Model ; Process Mining ; Process Discovery ; Learning Management Systems ; Usability

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Podaci o prilogu

420-425.

2018.

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objavljeno

10.1007/978-3-319-73888-8_65

Podaci o matičnoj publikaciji

Advances in intelligent systems and computing

Karwowski, Waldemar ; Ahram, Tareq

Cham: Springer

978-3-319-73888-8

2194-5357

2194-5365

Podaci o skupu

1st International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems (IHSI 2018)

predavanje

07.01.2018-09.01.2018

Dubai, Ujedinjeni Arapski Emirati

Povezanost rada

Informacijske i komunikacijske znanosti

Poveznice
Indeksiranost