Martin Hlosta

According to our database, Martin Hlosta authored at least 26 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Approximating eye gaze with head pose in a virtual reality microteaching scenario for pre-service teachers.

Ivan Moser, Martin Hlosta, Per Bergamin, Umesh Ramnarain, Christo Van Der Westhuizen, Mafor Penn, Noluthando Mdlalose, Koketso Pila, Ogegbo Ayodele

Proceedings of the Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), 2024

2023

Prediction of Dilatory Behavior in eLearning: A Comparison of Multiple Machine Learning Models.

Christof Imhof, Ioan-Sorin Comsa, Martin Hlosta, Behnam Parsaeifard, Ivan Moser, Per Bergamin

IEEE Trans. Learn. Technol., October, 2023

Predictive Learning Analytics and University Teachers: Usage and perceptions three years post implementation.

Christothea Herodotou, Claire Maguire, Martin Hlosta, Paul Mulholland

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

CERSEI: Cognitive Effort Based Recommender System for Enhancing Inclusiveness.

Geoffray Bonnin, Vaclav Bayer, Miriam Fernández, Christothea Herodotou, Martin Hlosta, Paul Mulholland

Proceedings of the Responsive and Sustainable Educational Futures, 2023

2022

Guest Editorial of the FGCS Special Issue on Advances in Intelligent Systems for Online Education.

Geoffray Bonnin, Danilo Dessì, Gianni Fenu, Martin Hlosta, Mirko Marras, Harald Sack

Future Gener. Comput. Syst., 2022

Predictive learning analytics in online education: A deeper understanding through explaining algorithmic errors.

Martin Hlosta, Christothea Herodotou, Tina Papathoma, Anna Gillespie, Per Bergamin

Comput. Educ. Artif. Intell., 2022

2021

The engagement of university teachers with predictive learning analytics.

Christothea Herodotou, Claire Maguire, Nicola McDowell, Martin Hlosta, Avinash Boroowa

Comput. Educ., 2021

Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged Students in STEM.

Martin Hlosta, Christothea Herodotou, Vaclav Bayer, Miriam Fernández

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally?

Vaclav Bayer, Martin Hlosta, Miriam Fernández

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

The scalable implementation of predictive learning analytics at a distance learning university: Insights from a longitudinal case study.

Christothea Herodotou, Bart Rienties, Martin Hlosta, Avinash Boroowa, Chrysoula Mangafa, Zdenek Zdráhal

Internet High. Educ., 2020

What Do Distance Learning Students Need From Student Analytics?

Christothea Herodotou, Avinash Boroowa, Martin Hlosta, Bart Rienties

Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

Explaining Errors in Predictions of At-Risk Students in Distance Learning Education.

Martin Hlosta, Tina Papathoma, Christothea Herodotou

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Empowering online teachers through predictive learning analytics.

Christothea Herodotou, Martin Hlosta, Avinash Boroowa, Bart Rienties, Zdenek Zdráhal, Chrysoula Mangafa

Br. J. Educ. Technol., 2019

ADA: A System for Automating the Learning Data Analytics Processing Life Cycle.

Dilek Çelik, Alexander Mikroyannidis, Martin Hlosta, Allan Third, John Domingue

Proceedings of the Transforming Learning with Meaningful Technologies, 2019

2018

Klasifikace na nevyvážených datech ; Classification on unbalanced data.

Martin Hlosta

PhD thesis, 2018

Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data.

Martin Hlosta, Zdenek Zdráhal, Jaroslav Zendulka

Knowl. Based Syst., 2018

Investigating Influence of Demographic Factors on Study Recommenders.

Michal Huptych, Martin Hlosta, Zdenek Zdráhal, Jakub Kocvara

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

Measures for recommendations based on past students' activity.

Michal Huptych, Michal Bohuslavek, Martin Hlosta, Zdenek Zdráhal

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Ouroboros: early identification of at-risk students without models based on legacy data.

Martin Hlosta, Zdenek Zdráhal, Jaroslav Zendulka

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Implementing predictive learning analytics on a large scale: the teacher's perspective.

Christothea Herodotou, Bart Rienties, Avinash Boroowa, Zdenek Zdráhal, Martin Hlosta, Galina Naydenova

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

2016

Data literacy for learning analytics.

Annika Wolff, John Moore, Zdenek Zdráhal, Martin Hlosta, Jakub Kuzilek

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

2015

Open University Learning Analytics dataset.

Jakub Kuzilek, Martin Hlosta, Zdenek Zdráhal

Dataset, December, 2015

2014

Developing predictive models for early detection of at-risk students on distance learning modules.

Annika Wolff, Zdenek Zdráhal, Drahomira Herrmannova, Jakub Kuzilek, Martin Hlosta

Proceedings of the Workshops at the LAK 2014 Conference co-located with 4th International Conference on Learning Analytics and Knowledge (LAK 2014), 2014

Modelling student online behaviour in a virtual learning environment.

Martin Hlosta, Drahomira Herrmannova, Lucie Vachova, Jakub Kuzilek, Zdenek Zdráhal, Annika Wolff

Proceedings of the Workshops at the LAK 2014 Conference co-located with 4th International Conference on Learning Analytics and Knowledge (LAK 2014), 2014

VGEN: Fast Vertical Mining of Sequential Generator Patterns.

Philippe Fournier-Viger, Antonio Gomariz, Michal Sebek, Martin Hlosta

Proceedings of the Data Warehousing and Knowledge Discovery, 2014

2013

MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns.

Michal Sebek, Martin Hlosta, Jaroslav Zendulka, Tomas Hruska

Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013