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Martin HlostaMember status icon

Visiting Fellow
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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


08 Feb 2024

18 Jul 2023

22 Nov 2022

29 Jun 2021

26 May 2021

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Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details Publications | doi 

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

Publications | Visit External Site for Details Publications | doi 

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

Publications | Visit External Site for Details Publications | Visit External Site for Details  

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

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