• Computer science students early drop-out prediction using machine learning : a case studyMaksimova, Natalja; Pentel, Avar; Dunajeva, OlgaLearning with Technologies and Technologies in Learning2022 / p. 523-549 https://doi.org/10.1007/978-3-031-04286-7_25 https://www.scopus.com/sourceid/21100901469 https://www.scopus.com/record/display.uri?eid=2-s2.0-85138218768&origin=inward&txGid=1824e586ffbf4babe57363fbe664e66b
  • COVID-19’s impact on the quality of educational process and the academic performance as viewed by IT students : a case study in text miningDunajeva, Olga; Pentel, Avar; Maksimova, NataljaICL 2021: Mobility for Smart Cities and Regional Development - Challenges for Higher Education : proceedings of the 24th International Conference on Interactive Collaborative Learning (ICL2021). Vol. 12022 / p. 417-425 https://doi.org/10.1007/978-3-030-93904-5_42 https://www.scopus.com/sourceid/21100901469 https://www.scopus.com/record/display.uri?eid=2-s2.0-85124675470&origin=inward&txGid=a80048fe87282d52537b73d8c38edf88 https://www.webofscience.com/wos/woscc/full-record/WOS:000759921700042
  • Predicting first-year computer science students drop-out with machine learning methods: A case studyMaksimova, Natalja; Pentel, Avar; Dunajeva, OlgaEducating Engineers for Future Industrial Revolutions : Proceedings of the 23rd International Conference on Interactive Collaborative Learning (ICL2020). Volume 22021 / p. 719-726 https://doi.org/10.1007/978-3-030-68201-9_70 https://www.scopus.com/sourceid/5100152904 https://www.scopus.com/record/display.uri?eid=2-s2.0-85103474918&origin=inward&txGid=0dad13380ef7fba308b7afa11fef95be https://www.webofscience.com/wos/woscc/full-record/WOS:000772405700070
  • Virumaa kolledž on märkimisväärselt vähendanud tudengite väljalangevustMaksimova, Natalja; Pentel, Avar; Piirimaa, Anu; Roosileht, MareMente et Manu2020 / lk. 44-45 : fot https://www.ester.ee/record=b1242496*est https://dea.digar.ee/article/AKmenteetmanu/2020/09/0/16.2