Discovering Time Management Strategies in Learning Processes Using Process Mining Techniques

Discovering Time Management Strategies in Learning Processes Using Process Mining Techniques

This paper reports the findings of a study that proposed a novel learning analytic methodology that combines process mining with cluster analysis to study time management in the context of blended and online learning. The study was conducted with first-year students (N = 241) who were enrolled in bl...

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Published in:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Main Author: Ahmad Uzir N.; Gašević D.; Matcha W.; Jovanović J.; Pardo A.; Lim L.-A.; Gentili S.
Format: Conference paper
Language:English
Published: Springer Verlag 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072948958&doi=10.1007%2f978-3-030-29736-7_41&partnerID=40&md5=bd41f41c3e2bb645a45f2e71c460c5c7
id 2-s2.0-85072948958
spelling 2-s2.0-85072948958
Ahmad Uzir N.; Gašević D.; Matcha W.; Jovanović J.; Pardo A.; Lim L.-A.; Gentili S.
Discovering Time Management Strategies in Learning Processes Using Process Mining Techniques
2019
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11722 LNCS

10.1007/978-3-030-29736-7_41
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072948958&doi=10.1007%2f978-3-030-29736-7_41&partnerID=40&md5=bd41f41c3e2bb645a45f2e71c460c5c7
This paper reports the findings of a study that proposed a novel learning analytic methodology that combines process mining with cluster analysis to study time management in the context of blended and online learning. The study was conducted with first-year students (N = 241) who were enrolled in blended learning of a health science course. The study identified four distinct time management tactics and three strategies. The tactics and strategies were interpreted according to the established theoretical framework of self-regulated learning in terms of student decisions about what to study, how long to study, and how to study. The study also identified significant differences in academic performance among students who followed different time management strategies. © 2019, Springer Nature Switzerland AG.
Springer Verlag
3029743
English
Conference paper
author Ahmad Uzir N.; Gašević D.; Matcha W.; Jovanović J.; Pardo A.; Lim L.-A.; Gentili S.
spellingShingle Ahmad Uzir N.; Gašević D.; Matcha W.; Jovanović J.; Pardo A.; Lim L.-A.; Gentili S.
Discovering Time Management Strategies in Learning Processes Using Process Mining Techniques
author_facet Ahmad Uzir N.; Gašević D.; Matcha W.; Jovanović J.; Pardo A.; Lim L.-A.; Gentili S.
author_sort Ahmad Uzir N.; Gašević D.; Matcha W.; Jovanović J.; Pardo A.; Lim L.-A.; Gentili S.
title Discovering Time Management Strategies in Learning Processes Using Process Mining Techniques
title_short Discovering Time Management Strategies in Learning Processes Using Process Mining Techniques
title_full Discovering Time Management Strategies in Learning Processes Using Process Mining Techniques
title_fullStr Discovering Time Management Strategies in Learning Processes Using Process Mining Techniques
title_full_unstemmed Discovering Time Management Strategies in Learning Processes Using Process Mining Techniques
title_sort Discovering Time Management Strategies in Learning Processes Using Process Mining Techniques
publishDate 2019
container_title Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
container_volume 11722 LNCS
container_issue
doi_str_mv 10.1007/978-3-030-29736-7_41
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072948958&doi=10.1007%2f978-3-030-29736-7_41&partnerID=40&md5=bd41f41c3e2bb645a45f2e71c460c5c7
description This paper reports the findings of a study that proposed a novel learning analytic methodology that combines process mining with cluster analysis to study time management in the context of blended and online learning. The study was conducted with first-year students (N = 241) who were enrolled in blended learning of a health science course. The study identified four distinct time management tactics and three strategies. The tactics and strategies were interpreted according to the established theoretical framework of self-regulated learning in terms of student decisions about what to study, how long to study, and how to study. The study also identified significant differences in academic performance among students who followed different time management strategies. © 2019, Springer Nature Switzerland AG.
publisher Springer Verlag
issn 3029743
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
_version_ 1823296162862465024

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