Member
Martin Hlosta 
Research Assistant
+44 (0)1908 332292
In KMi, I work on OU Analyse Project, which is focused on improving student retention at Open University using machine learning techniques.
Keys: OU Analyse Project, machine learning,
Team: Michal Bohuslavek, Drahomira Herrmannova, Michal Huptych, Petr Knoth, Jakub Kuzilek, Zdenek Zdrahal
Projects
News
27 Mar 2017
05 Nov 2016
29 Apr 2016
14 Dec 2015
23 Nov 2015
Publications
Herodotou, C., Gilmour, A., Boroowa, A., Rientes, B., Zdrahal, Z. and Hlosta, M. (2017) Predictive modelling for addressing students' attrition in Higher Education: The case of OU Analyse, CALRG Annual Conference 2017, The Open University
Hlosta, M., Zdrahal, Z. and Zendulka, J. (2017) Ouroboros: Early identification of at-risk students without models based on legacy data, Learning Analytics & Knowledge (LAK 17), ACM
Herodotou, C., Rienties, B., Boroowa, A., Zdrahal, Z., Hlosta, M. and Naydenova, G. (2017) Implementing predictive learning analytics on a large scale: the teacher's perspective, Learning Analytics & Knowledge Conference (LAK'17), ACM
Huptych, M., Bohuslavek, M., Hlosta, M. and Zdrahal, Z. (2017) Measures for recommendations based on past students' activity, Learning Analytics & Knowledge (LAK 17), ACM
Kuzilek, J., Hlosta, M. and Zdrahal, Z. (2016) Open University Learning Analytics Dataset, Workshop: Data Literacy for Learning Analytics at Learning Analytics and Knowledge (LAK 16)
