Member
Martin Hlosta
Visiting Research Fellow
+44 (0)1908 332292
I am a Visiting Research Fellow. Currenlty at Swiss Distance University of Applied Sciences
(Fernfachhochschule Schweiz ā FFHS) - The Institute for
Research in Open, Distance and eLearning (IFeL) I spent 7 years in KMi, most recently as 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 was responsible for 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, Stephane Carpenter, Miriam Fernandez, Zdenek Zdrahal
News
17 Nov 2022
05 Jul 2021
29 Jun 2021
30 Sep 2020
01 May 2020
Publications
Herodotou, C., Maguire, C., Hlosta, M. and Mulholland, P. (2023) Predictive Learning Analytics and University Teachers: Usage and perceptions three years post implementation, 13th International Learning Analytics and Knowledge Conference (LAK 2023), Arlington, Texas
Bonnin, G., Dessì, D., Fenu, G., Hlosta, M., Marras, M. and Sack, H. (2022) Guest Editorial of the FGCS Special Issue on Advances in Intelligent Systems for Online Education, 127, pp. 331-333
Hlosta, M., Herodotou, C., Papathoma, T., Gillespie, A. and Bergamin, P. (2022) Predictive learning analytics in online education: A deeper understanding through explaining algorithmic errors, Computers and Education: Artificial Intelligence, 3
Bayer, V., Hlosta, M. and Fernandez, M. (2021) Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally?, AIED 2021; 22nd International Conference on Artificial Intelligence in Education, ONLINE from Utrecht
Hlosta, M., Herodotou, C., Fernandez, M. and Bayer, V. (2021) Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged students in STEM, Artificial Intelligence in Education, AIED 2021, Online / Utrecht, NL
