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)
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