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Research Fellow
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In KMi, I work as a Research Fellow 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, Stephane Carpenter, Miriam Fernandez, Zdenek Zdrahal

News

05 Jul 2021


29 Jun 2021


30 Sep 2020


01 May 2020


30 Apr 2020

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Publications

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

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

Rets, I., Herodotou, C., Bayer, V., Hlosta, M. and Rienties, B. (2021) Exploring critical factors of the perceived usefulness of a learning analytics dashboard for distance university students, pp. (In Press)

Publications | Visit External Site for Details Publications | doi 

Herodotou, C., Maguire, C., McDowell, N., Hlosta, M. and Boroowa, A. (2021) The engagement of university teachers with predictive learning analytics

Publications | Visit External Site for Details  

Hlosta, M., Papathoma, T. and Herodotou, C. (2020) Explaining Errors in Predictions of At-Risk Students in Distance Learning Education, International Conference on Artificial Intelligence in Education, online

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