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  2. Dr Martin Hlosta

Dr Martin Hlosta

Profile summary

Publications

The scalable implementation of predictive learning analytics at a distance learning university: Insights from a longitudinal case study (2020)
Herodotou, Christothea; Rienties, Bart; Hlosta, Martin; Boroowa, Avinash; Mangafa, Chrysoula and Zdrahal, Zdenek
Internet and Higher Education ((In Press))


Empowering online teachers through predictive learning analytics (2019-11)
Herodotou, Christothea; Hlosta, Martin; Boroowa, Avinash; Rienties, Bart; Zdrahal, Zdenek and Mangafa, Chrysoula
British Journal of Educational Technology, 50(6) (pp. 3064-3079)


A large-scale implementation of Predictive Learning Analytics in Higher Education: the teachers' role and perspective (2019-10)
Herodotou, Christothea; Rienties, Bart; Boroowa, Avinash; Zdrahal, Zdenek and Hlosta, Martin
Educational Technology Research and Development, 67(5) (pp. 1273-1306)


Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data (2018)
Hlosta, Martin; Zdrahal, Zdenek and Zendulka, Jaroslav
Knowledge-Based Systems, 160 (pp. 278-295)


Open University Learning Analytics dataset (2017-11-28)
Kuzilek, Jakub; Hlosta, Martin and Zdrahal, Zdenek
Scientific Data, 4, Article 170171


OU Analyse: analysing at-risk students at The Open University (2015-03-18)
Kuzilek, Jakub; Hlosta, Martin; Herrmannova, Drahomira; Zdrahal, Zdenek; Vaclavek, Jonas and Wolff, Annika
Learning Analytics Review, LAK15-1 (pp. 1-16)


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


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


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


Explaining Errors in Predictions of At-Risk Students in Distance Learning Education (2020)
Hlosta, Martin; Papathoma, Tina and Herodotou, Christothea
In : International Conference on Artificial Intelligence in Education (06-10 Jul 2020, online) (pp. 119-123)


Visualisation of key splitting milestones to support interventions (2019)
Hlosta, Martin; Kocvara, Jakub; Beran, David and Zdrahal, Zdenek
In : VISLA 2019: Workshop on Visual Approaches to Learning Analytics (05 Mar 2019, Tempe, AZ, USA)


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


Investigating Influence of Demographic Factors on Study Recommenders (2018-06-20)
Huptych, Michal; Hlosta, Martin; Zdrahal, Zdenek and Kocvara, Jakub
In : 19th International Conference on Artificial Intelligence in Education (AIED 2018) Artificial Intelligence in Education (27-30 Jun 2018, London) (pp. 150-154)


Predictive modelling for addressing students’ attrition in Higher Education: The case of OU Analyse (2017-06-14)
Herodotou, Christothea; Gilmour, Alison; Boroowa, Avinash; Rienties, Bart; Zdrahal, Zdenek and Hlosta, Martin
In : CALRG Annual Conference 2017 (14-16 Jun 2017, The Open University, Milton Keynes, UK)


Implementing predictive learning analytics on a large scale: the teacher's perspective (2017-03-13)
Herodotou, Christothea; Rienties, Bart; Boroowa, Avinash; Zdrahal, Zdenek; Hlosta, Martin and Naydenova, Galina
In : 7th International Learning Analytics & Knowledge Conference (13-17 Mar 2017, Vancouver, Canada) (pp. 267-271)


Measures for recommendations based on past students' activity (2017)
Huptych, Michal; Bohuslavek, Michal; Hlosta, Martin and Zdrahal, Zdenek
In : LAK17 Learning Analytics & Knowledge Conference (13-17 Mar 2017, Vancouver, BC, Canada) (pp. 404-408)


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


Analysing performance of first year engineering students (2016)
Zdrahal, Zdenek; Hlosta, Martin and Kuzilek, Jakub
In : Learning Analytics and Knowledge: Data literacy for Learning Analytics Workshop (26 Apr 2016, Edinburgh)


Evaluating Weekly Predictions of At-Risk Students at The Open University: Results and Issues (2015-06)
Herrmannova, Drahomira; Hlosta, Martin; Kuzilek, Jakub and Zdrahal, Zdenek
In : EDEN 2015 Annual Conference Expanding Learning Scenarios: Opening Out the Educational Landscape (9-12 Jun 2015, Barcelona, Spain)


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


Modelling student online behaviour in a virtual learning environment (2014)
Hlosta, Martin; Herrmannova, Drahomira; Vachova, Lucie; Kuzilek, Jakub; Zdrahal, Zdenek and Wolff, Annika
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 Mar 2014, Indianapolis, Indiana, USA)


Scholarly insight Autumn 2017:a Data wrangler perspective (2017-10-23)
Rienties, Bart; Clow, Doug; Coughlan, Tim; Cross, Simon; Edwards, Chris; Gaved, Mark; Herodotou, Christothea; Hlosta, Martin; Jones, Jan; Rogaten, Jekaterina and Ullmann, Thomas
Open University UK