Martin Hlosta

Research Fellow

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


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


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: 22nd International Conference on Artificial Intelligence in Education, AIED 2021, Lecture Notes in Artificial Intelligence, Springer.

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.

Hlosta, Martin, Papathoma, Tina and Herodotou, Christothea (2020). Explaining Errors in Predictions of At-Risk Students in Distance Learning Education. In: Artificial Intelligence in Education, Lecture Notes in Computer Science (LNCS), Springer, pp. 119–123.

Herodotou, Christothea , Boroowa, Avinash , Hlosta, Martin and Rienties, Bart (2020). What do distance learning students seek from student analytics? In: International Conference on Learning Sciences, 19-23 Jun 2020, Nashville, TN, USA.

Hlosta, Martin, Bayer, Vaclav and Zdrahal, Zdenek(2020). Mini Survival Kit: Prediction based recommender to help students escape their critical situation in online courses. In: Proceedings of the 10th International Conference on Learning Analytics and Knowledge (LAK20), 23-27 Mar 2020, Frankfurt am Main, Germany.

Hlosta, Martin, Zdrahal, Zdenek, Bayer, Vaclav and Herodotou, Christothea (2020). Why Predictions of At-Risk Students Are Not 100% Accurate? Showing Patterns in False Positive and False Negative Predictions. In: Proceedings of the 10th International Conference on Learning Analytics and Knowledge (LAK20), 23-27 Mar 2020, Frankfurt am Main, Germany.

Herodotou, Christothea , Rienties, Bart , Hlosta, Martin, Boroowa, Avinash , Mangafa, Chrysoula and Zdrahal, Zdenek(2020). The scalable implementation of predictive learning analytics at a distance learning university: Insights from a longitudinal case study. Internet and Higher Education, 45, article no. 100725.

Celik, Dilek,Mikroyannidis, Alexander, Hlosta, Martin, Third, Allan and Domingue, John(2019). ADA: A System for Automating the Learning Data Analytics Processing Life Cycle. In: EC-TEL 2019 14th European Conference on Technology Enhanced Learning, 16-19 Sep 2019, Delft, Netherlands, pp. 714–718.

Herodotou, Christothea , Hlosta, Martin, Boroowa, Avinash , Rienties, Bart , Zdrahal, Zdenek and Mangafa, Chrysoula (2019). Empowering online teachers through predictive learning analytics. British Journal of Educational Technology, 50(6) pp. 3064–3079.

Herodotou, Christothea , Rienties, Bart , Boroowa, Avinash , Zdrahal, Zdenek and Hlosta, Martin(2019). A large-scale implementation of Predictive Learning Analytics in Higher Education: the teachers' role and perspective. Educational Technology Research and Development, 67(5) pp. 1273–1306.