Member
Martin Hlosta 
Research Associate
+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, CAT(Curriculum Analytics Tool)
Team: David Beran, , Jakub Kocvara, Juraj Skandera, Zdenek Zdrahal
News
04 Jul 2018
12 Mar 2018
29 Jun 2017
27 Mar 2017
05 Nov 2016
Publications
Hlosta, M. and Zendulka, Z. (2018) Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data, Knowledge Based Systems, Elsevier
Huptych, M., Hlosta, M., Zdrahal, Z. and Kocvara, J. (2018) Investigating Influence of Demographic Factors on Study Recommenders, Poster at Artificial Intelligence in Education, Springer, Cham
Kuzilek, J., Hlosta, M. and Zdrahal, Z. (2017) Open University Learning Analytics dataset, Scientific Data, 4, Nature Publishing Group
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
