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Items Authored or Edited by Martin Hlosta

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Number of items: 8.

2017

Herodotou, Christothea; Gilmour, Alison; Boroowa, Avinash; Rienties, Bart; Zdrahal, Zdenek and Hlosta, Martin (2017). Predictive modelling for addressing students’ attrition in Higher Education: The case of OU Analyse. In: CALRG Annual Conference 2017, 14-16 Jun 2017, The Open University, Milton Keynes, UK.

Herodotou, Christothea; Rienties, Bart; Boroowa, Avinash; Zdrahal, Zdenek; Hlosta, Martin and Naydenova, Galina (2017). Implementing predictive learning analytics on a large scale: the teacher's perspective. In: Proceedings of the Seventh International Learning Analytics & Knowledge Conference, ACM, NY, 267-271 .

Huptych, Michal; Bohuslavek, Michal; Hlosta, Martin and Zdrahal, Zdenek (2017). Measures for recommendations based on past students' activity. In: LAK '17 Proceedings of the Seventh International Learning Analytics & Knowledge Conference on - LAK '17, pp. 404–408. file

Hlosta, Martin; Zdrahal, Zdenek and Zendulka, Jaroslav (2017). Ouroboros: early identification of at-risk students without models based on legacy data. In: LAK17 - Seventh International Learning Analytics & Knowledge Conference, 13 - 17 March 2017, Vancouver, BC, Canada, pp. 6–15. file

2015

Herrmannova, Drahomira; Hlosta, Martin; Kuzilek, Jakub and Zdrahal, Zdenek (2015). Evaluating Weekly Predictions of At-Risk Students at The Open University: Results and Issues. In: EDEN 2015 Annual Conference Expanding Learning Scenarios: Opening Out the Educational Landscape, 9-12 June 2015, Barcelona, Spain. file

Kuzilek, Jakub; Hlosta, Martin; Herrmannova, Drahomira; Zdrahal, Zdenek and Wolff, Annika (2015). OU Analyse: analysing at-risk students at The Open University. Learning Analytics Review, LAK15-1 pp. 1–16. file

2014

Wolff, Annika; Zdrahal, Zdenek; Herrmannova, Drahomira; Kuzilek, Jakub and Hlosta, Martin (2014). Developing predictive models for early detection of at-risk students on distance learning modules. In: Machine Learning and Learning Analytics Workshop at The 4th International Conference on Learning Analytics and Knowledge (LAK14), 24-28 March 2014, Indianapolis, Indiana, USA. file

Hlosta, Martin; Herrmannova, Drahomira; Vachova, Lucie; Kuzilek, Jakub; Zdrahal, Zdenek and Wolff, Annika (2014). Modelling student online behaviour in a virtual learning environment. In: Machine Learning and Learning Analytics workshop at The 4th International Conference on Learning Analytics and Knowledge (LAK14), 24-28 March 2014, Indianapolis, Indiana, USA, 24-28 March 2014, Indianapolis, Indiana, USA. file

This list was generated on Wed Sep 20 22:50:17 2017 BST.

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