Member
Martin Hlosta
Visiting Fellow
+44 (0)1908 332292
I am a Visiting Research Fellow. Currenlty at Swiss Distance University of Applied Sciences
(Fernfachhochschule Schweiz – 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
08 Feb 2024
18 Jul 2023
22 Nov 2022
29 Jun 2021
26 May 2021
Publications
Bayer, V., Mulholland, P., Hlosta, M., Farrell, T., Herodotou, C. and Fernandez, M. (2024) Co‐creating an equality diversity and inclusion learning analytics dashboard for addressing awarding gaps in higher education, British Journal of Educational Technology, pp. (Early access)
Bonnin, G., Bayer, V., Fernandez, M., Herodotou, C., Hlosta, M. and Mulholland, P. (2023) CERSEI: Cognitive Effort Based Recommender System for Enhancing Inclusiveness, 18th European Conference on Technology Enhanced Learning, EC-TEL 2023, Aveiro, Portugal
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
