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Pregled bibliografske jedinice broj: 904903

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

Etinger, Darko; Orehovački, Tihomir; Babić, Snježana
Applying Process Mining Techniques to Learning Management Systems for Educational Process Model Discovery and Analysis // Proceedings of the 1st International Conference on Intelligent Human Systems Integration (IHSI 2018): Integrating People and Intelligent Systems, Advances in Intelligent Systems and Computing (AISC, volume 722) / Karwowski, Waldemar ; Ahram, Tareq (ur.).
Cham: Springer, 2018. str. 420-425 doi:10.1007/978-3-319-73888-8_65 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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

Autori
Etinger, Darko ; Orehovački, Tihomir ; Babić, Snježana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 1st International Conference on Intelligent Human Systems Integration (IHSI 2018): Integrating People and Intelligent Systems, Advances in Intelligent Systems and Computing (AISC, volume 722) / Karwowski, Waldemar ; Ahram, Tareq - Cham : Springer, 2018, 420-425

ISBN
978-3-319-73888-8

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

Mjesto i datum
Dubai, Ujedinjeni Arapski Emirati, 07.01.2018. - 09.01.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

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

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA

Ustanove:
Veleučilište u Rijeci,
Sveučilište Jurja Dobrile u Puli

Profili:

Avatar Url Snježana Babić (autor)

Avatar Url Tihomir Orehovački (autor)

Avatar Url Darko Etinger (autor)

Poveznice na cjeloviti tekst rada:

doi link.springer.com

Citiraj ovu publikaciju:

Etinger, Darko; Orehovački, Tihomir; Babić, Snježana
Applying Process Mining Techniques to Learning Management Systems for Educational Process Model Discovery and Analysis // Proceedings of the 1st International Conference on Intelligent Human Systems Integration (IHSI 2018): Integrating People and Intelligent Systems, Advances in Intelligent Systems and Computing (AISC, volume 722) / Karwowski, Waldemar ; Ahram, Tareq (ur.).
Cham: Springer, 2018. str. 420-425 doi:10.1007/978-3-319-73888-8_65 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Etinger, D., Orehovački, T. & Babić, S. (2018) Applying Process Mining Techniques to Learning Management Systems for Educational Process Model Discovery and Analysis. U: Karwowski, W. & Ahram, T. (ur.)Proceedings of the 1st International Conference on Intelligent Human Systems Integration (IHSI 2018): Integrating People and Intelligent Systems, Advances in Intelligent Systems and Computing (AISC, volume 722) doi:10.1007/978-3-319-73888-8_65.
@article{article, author = {Etinger, Darko and Orehova\v{c}ki, Tihomir and Babi\'{c}, Snje\v{z}ana}, year = {2018}, pages = {420-425}, DOI = {10.1007/978-3-319-73888-8\_65}, keywords = {Educational Process Model, Process Mining, Process Discovery, Learning Management Systems, Usability}, doi = {10.1007/978-3-319-73888-8\_65}, isbn = {978-3-319-73888-8}, title = {Applying Process Mining Techniques to Learning Management Systems for Educational Process Model Discovery and Analysis}, keyword = {Educational Process Model, Process Mining, Process Discovery, Learning Management Systems, Usability}, publisher = {Springer}, publisherplace = {Dubai, Ujedinjeni Arapski Emirati} }
@article{article, author = {Etinger, Darko and Orehova\v{c}ki, Tihomir and Babi\'{c}, Snje\v{z}ana}, year = {2018}, pages = {420-425}, DOI = {10.1007/978-3-319-73888-8\_65}, keywords = {Educational Process Model, Process Mining, Process Discovery, Learning Management Systems, Usability}, doi = {10.1007/978-3-319-73888-8\_65}, isbn = {978-3-319-73888-8}, title = {Applying Process Mining Techniques to Learning Management Systems for Educational Process Model Discovery and Analysis}, keyword = {Educational Process Model, Process Mining, Process Discovery, Learning Management Systems, Usability}, publisher = {Springer}, publisherplace = {Dubai, Ujedinjeni Arapski Emirati} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Science (CPCI-S)
  • Scopus

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