Showing all 10 Publications linked to Martin Hlosta

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Research Assistant
Martin Hlosta Photograph

In KMi, I work on OU Analyse Project, which is focused on improving student retention at Open University using machine learning techniques.

Keys: OU Analyse Project, machine learning,


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Herodotou, C., Gilmour, A., Boroowa, A., Rientes, B., Zdrahal, Z. and Hlosta, M. (2017) Predictive modelling for addressing students' attrition in Higher Education: The case of OU Analyse, CALRG Annual Conference 2017, The Open University

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Hlosta, M., Zdrahal, Z. and Zendulka, J. (2017) Ouroboros: Early identification of at-risk students without models based on legacy data, Learning Analytics & Knowledge (LAK 17), ACM

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Herodotou, C., Rienties, B., Boroowa, A., Zdrahal, Z., Hlosta, M. and Naydenova, G. (2017) Implementing predictive learning analytics on a large scale: the teacher's perspective, Learning Analytics & Knowledge Conference (LAK'17), ACM

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Huptych, M., Bohuslavek, M., Hlosta, M. and Zdrahal, Z. (2017) Measures for recommendations based on past students' activity, Learning Analytics & Knowledge (LAK 17), ACM

 

Kuzilek, J., Hlosta, M. and Zdrahal, Z. (2016) Open University Learning Analytics Dataset, Workshop: Data Literacy for Learning Analytics at Learning Analytics and Knowledge (LAK 16)

 

Zdrahal, Z., Hlosta, M. and Kuzilek, J. (2016) Analysing performance of first year engineering students, Workshop: Data Literacy for Learning Analytics at Learning Analytics and Knowledge (LAK 16)

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Herrmannova, D., Hlosta, M., Kuzilek, J. and Zdrahal, Z. (2015) Evaluating Weekly Predictions of At-Risk Students at The Open University: Results and Issues, EDEN 2015, Barcelona, Spain

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Kuzilek, J., Hlosta, M., Herrmannova, D., Vaclavek, J., Zdrahal, Z. and Wolff, A. (2015) OU Analyse: Analysing At-Risk Students at The Open University, Learning Analytics and Knowledge (LAK15), Learning Analytics Review, LAK15-1, LACE project

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Wolff, A., Zdrahal, Z., Herrmannova, D., Kuzilek, J. and Hlosta, M. (2014) Developing predictive models for early detection of at-risk students on distance learning modules, Workshop: Machine Learning and Learning Analytics at Learning Analytics and Knowledge (LAK), Indianapolis

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Hlosta, M., Herrmannova, D., Vachova, L., Kuzilek, J., Zdrahal, Z. and Wolff, A. (2014) Modelling student online behaviour in a virtual learning environment, Workshop: Machine Learning and Learning Analytics at Learning Analytics and Knowledge (LAK), Indianapolis

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Research Asst / Assoc - Text and Data Mining

Knowledge Media Institute (KMi)
29,799 - 38,833 (Grades AC1 /AC2)
Based in Milton Keynes
Temporary contract until 31 December 2018

WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The team at the OU runs the world's largest aggregator of open access research papers called CORE. CORE provides free access to the full-texts of 8 million+ Open Access research papers as well as a number of intelligent information services for researchers and organisations. These include services enabling and relying on text & data mining, recommender systems, content management services for libraries & repositories. We are also in the process...

Senior Research Fellow x 2

Knowledge Media Institute (KMi)
50,618 - 56,950 (Grade AC4)
Based in Milton Keynes
Permanent Position

WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is one of the top research centres in the world in the area of knowledge and media technologies, and we offer a creative and flexible working environment. The style, impact and content of our work are described in detail at http://kmi.open.ac.uk/ Your goal is to strengthen KMi's international research reputation and in particular pursue a robust and innovative research agenda in one or more of these...

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