Predicting first-year computer science students drop-out with machine learning methods: A case study
statement of authorship
Natalja Maksimova, Avar Pentel, Olga Dunajeva
location of publication
Cham
publisher
year of publication
pages
p. 719-726
conference name, date
ICL2020 – 23rd International Conference on Interactive Collaborative Learning, 23–25 September 2020, Virtual Conference
conference location
Tallinn, Estonia
subject term
WOS
kvartiil
category (general)
category (sub)
name of the institution
keyword
ISSN
2194-5357
ISBN
978-3-030-68200-2
notes
Includes bibliogr
scientific publication
teaduspublikatsioon
classifier
TTÜ department
language
inglise
Maksimova, N., Pentel, A., Dunajeva, O. Predicting first-year computer science students drop-out with machine learning methods: A case study // Educating Engineers for Future Industrial Revolutions : Proceedings of the 23rd International Conference on Interactive Collaborative Learning (ICL2020). Volume 2. Cham : Springer, 2021. p. 719-726. (Advances in Intelligent Systems and Computing ; 1329). https://doi.org/10.1007/978-3-030-68201-9_70