Martin Hlosta

Research Fellow

In KMi, I work as a Research Fellow, I am a project leader of OUAnalyse (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 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.

Keywords

OU Analyse Project, Machine Learning, CAT (Curriculum Analytics Tool)

Publications

Albuquerque, Josmario, Rienties, Bart, Holmes, Wayne and Hlosta, Martin ,(2024). From hype to evidence: exploring large language models for inter-group bias classification in higher education. Interactive Learning Environments (Early access).

Bayer, Vaclav, Mulholland, Paul, Hlosta, Martin, Farrell, Tracie, Herodotou, Christothea and Fernandez, Miriam ,(2024). Coâcreating an equality diversity and inclusion learning analytics dashboard for addressing awarding gaps in higher education. British Journal of Educational Technology, 55(5), pp. 2058â2074.

Bonnin, Geoffray, Bayer, Vaclav, Fernandez, Miriam, Herodotou, Christothea, Hlosta, Martin and Mulholland, Paul ,(2023). CERSEI: Cognitive Effort Based Recommender System for Enhancing Inclusiveness. In: 18th European Conference on Technology Enhanced Learning, EC-TEL 2023, 4-8 Sep 2023, Aveiro, Portugal.

Herodotou, Christothea, Maguire, Claire, Hlosta, Martin and Mulholland, Paul ,(2023). Predictive Learning Analytics and University Teachers: Usage and perceptions three years post implementation. In: 13th International Learning Analytics and Knowledge Conference (LAK 2023), 13-17 Mar 2023, Arlington, Texas.

Hlosta, Martin, Herodotou, Christothea, Papathoma, Tina, Gillespie, Anna and Bergamin, Per ,(2022). Predictive learning analytics in online education: A deeper understanding through explaining algorithmic errors. Computers and Education: Artificial Intelligence, 3

Bonnin, Geoffray, DessÃ¬, Danilo, Fenu, Gianni, Hlosta, Martin, Marras, Mirko and Sack, Harald ,(2022). Guest Editorial of the FGCS Special Issue on Advances in Intelligent Systems for Online Education. Future Generation Computer Systems, 127 pp. 331â333.

Herodotou, Christothea, Maguire, Claire, McDowell, Nicola D., Hlosta, Martin and Boroowa, Avinash ,(2021). The engagement of university teachers with predictive learning analytics. Computers & Education, 173

Rets, Irina, Herodotou, Christothea, Bayer, Vaclav, Hlosta, Martin and Rienties, Bart ,(2021). Exploring critical factors of the perceived usefulness of a learning analytics dashboard for distance university students. International Journal of Educational Technology in Higher Education, 18(1),

Hlosta, Martin, Herodotou, Christothea, Fernandez, Miriam and Bayer, Vaclav ,(2021). Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged students in STEM. In: Artificial Intelligence in Education, AIED 2021, 14-18 Jun 2021, Online / Utrecht, NL.

Bayer, Vaclav, Hlosta, Martin and Fernandez, Miriam ,(2021). Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally? In: AIED 2021; 22nd International Conference on Artificial Intelligence in Education, 14-18 Jun 2021, ONLINE from Utrecht.

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