Member
Martin Hlosta 
Research Associate
+44 (0)1908 332292
In KMi, I work as a Research Associate acting as a technical lead and a data scientist of OU Analyse Project (https://analyse.kmi.open.ac.uk). The project is focused on improving student retention at Open University using machine learning techniques. I am exploring how to best use OUAnalyse to teachers (Associate Lecturers) in order to better use data and analytics for improving student outcomes. Moreover, I am responsible fore design and the development of the Curriculum Analytics Tool (CAT) - the tool has been deployed in 2017 to help in the curriculum review. It is expected to facilitate data-informed decisions on the curriculum and finance planning in the future.
Keys: OU Analyse Project, machine learning, CAT(Curriculum Analytics Tool)
Team: Vaclav Bayer, David Beran, Miriam Fernandez, Jakub Kocvara, Milan Lysonek, Zdenek Zdrahal
News
04 Jul 2018
12 Mar 2018
29 Jun 2017
27 Mar 2017
05 Nov 2016
Publications
Celik, D., Mikroyannidis, A., Hlosta, M., Third, A. and Domingue, J. (2019) ADA: A System for Automating the Learning Data Analytics Processing Life Cycle, EC-TEL 2019 14th European Conference on Technology Enhanced Learning, Delft, Netherlands
Hlosta, M., Kocvara, J., Beran, D. and Zdrahal, Z. (2019) Visualisation of key splitting milestones to support interventions, VISLA 2019: Workshop on Visual Approaches to Learning Analytics, Tempe, AZ, USA
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
