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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, Miriam Fernandez, Jakub Kocvara, Zdenek Zdrahal

News

01 May 2020


30 Apr 2020


04 Feb 2020


14 Nov 2019


11 Sep 2019

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Publications

Publications | Visit External Site for Details  

Hlosta, M., Zdrahal, Z., Bayer, V. and , c. (2020) Why Predictions of At-Risk Students Are Not 100% Accurate? Showing Patterns in False Positive and False Negative Predictions, Proceedings of the 10th International Conference on Learning Analytics and Knowledge (LAK20), Frankfurt am Main, Germany

Publications | Visit External Site for Details  

Herodotou, C., Rienties, B., Hlosta, M., Boroowa, A., Mangafa, C. and Zdrahal, Z. (2020) The scalable implementation of predictive learning analytics at a distance learning university: Insights from a longitudinal case study The scalable implementation of predictive learning analytics at a distance learning university: Insights from a longitudinal case study, pp. (In Press)

Publications | Visit External Site for Details  

Celik, D., Mikroyannidis, A., Hlosta, M., Third, A. and Domingue, J. (2019) ADA: A System for Automating the Learning Data Analytics Processing Life Cycle, EC-TEL 2019 14th European Conference on Technology Enhanced Learning, Delft, Netherlands

Publications | Download PDF Publications | Visit External Site for Details  

Hlosta, M., Kocvara, J., Beran, D. and Zdrahal, Z. (2019) Visualisation of key splitting milestones to support interventions, VISLA 2019: Workshop on Visual Approaches to Learning Analytics, Tempe, AZ, USA

Publications | Visit External Site for Details Publications | doi 

Herodotou, C., Rienties, B., Boroowa, A., Zdrahal, Z. and Hlosta, M. (2019) A large-scale implementation of Predictive Learning Analytics in Higher Education: the teachers' role and perspective A large-scale implementation of Predictive Learning Analytics in Higher Education: the teachers' role and perspective

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