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Work-in-progress : exploring psychological and behavioural differences between university IT student segments formed based on dropout time and academic performance

author
Puudist, Eerik Sven
Luberg, Ago
Aus, Kati
statement of authorship
Eerik Sven Puudist, Ago Luberg, Kati Aus
source
Learning in the Age of Digital and Green Transition : Proceedings of the 25th International Conference on Interactive Collaborative Learning (ICL2022), Volume 2
location of publication
Cham
publisher
Springer
year of publication
2023
pages
p. 590-596
series
Lecture Notes in Networks and Systems ; 634
conference name, date
25th International Conference on Interactive Collaborative Learning, ICL 2022, 27 September - 30 September, 2022
conference location
Vienna, Austria
url
https://doi.org/10.1007/978-3-031-26190-9_62
subject term
õppimine
kõrgkoolid
tehisõpe
enesejuhtimine
õppeedukus
õpingute katkestamine
Scopus
Conference proceedings at Scopus
Article at Scopus
kvartiil
Q4
category (general)
Computer science
Engineering
category (sub)
Computer science. Signal processing
Engineering. Control and systems engineering
Computer science. Computer networks and communications
keyword
learning analysis
university dropout
self-regulated learning
machine learning (ML)
segmentation
ISSN
2367-3370
ISBN
978-3-031-26189-3
notes
Bibliogr.: 18 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Applied artificial intelligence group
Puudist, E. S., Luberg, A., Aus, K. Work-in-progress : exploring psychological and behavioural differences between university IT student segments formed based on dropout time and academic performance // Learning in the Age of Digital and Green Transition : Proceedings of the 25th International Conference on Interactive Collaborative Learning (ICL2022), Volume 2. Cham : Springer, 2023. p. 590-596. (Lecture Notes in Networks and Systems ; 634). https://doi.org/10.1007/978-3-031-26190-9_62