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Martin Hlosta
Martin Hlosta
Swiss Distance University of Applied Sciences
Verified email at ffhs.ch - Homepage
Title
Cited by
Cited by
Year
Open University Learning Analytics Dataset
J Kuzilek, M Hlosta, Z Zdrahal
Scientific data, 2017
3912017
OU Analyse: analysing at-risk students at The Open University
J Kuzilek, M Hlosta, D Herrmannova, Z Zdrahal, J Vaclavek, A Wolff
Learning Analytics Review, 1-16, 2015
1922015
A large-scale implementation of predictive learning analytics in higher education: The teachers’ role and perspective
C Herodotou, B Rienties, A Boroowa, Z Zdrahal, M Hlosta
Educational Technology Research and Development 67, 1273-1306, 2019
1662019
Ouroboros: early identification of at-risk students without models based on legacy data
M Hlosta, Z Zdrahal, J Zendulka
Proceedings of the seventh international learning analytics & knowledge …, 2017
1452017
The scalable implementation of predictive learning analytics at a distance learning university: Insights from a longitudinal case study
C Herodotou, B Rienties, M Hlosta, A Boroowa, C Mangafa, Z Zdrahal
The Internet and Higher Education 45, 100725, 2020
1232020
Developing predictive models for early detection of at-risk students on distance learning modules
A Wolff, Z Zdrahal, D Herrmannova, J Kuzilek, M Hlosta
1042014
Empowering online teachers through predictive learning analytics
C Herodotou, M Hlosta, A Boroowa, B Rienties, Z Zdrahal, C Mangafa
British Journal of Educational Technology 50 (6), 3064-3079, 2019
942019
Implementing predictive learning analytics on a large scale: the teacher's perspective
C Herodotou, B Rienties, A Boroowa, Z Zdrahal, M Hlosta, G Naydenova
Proceedings of the seventh international learning analytics & knowledge …, 2017
672017
VGEN: Fast Vertical Mining of Sequential Generator Patterns
P Fournier-Viger, A Gomariz, M Šebek, M Hlosta
Data Warehousing and Knowledge Discovery: 16th International Conference …, 2014
512014
Exploring critical factors of the perceived usefulness of a learning analytics dashboard for distance university students
I Rets, C Herodotou, V Bayer, M Hlosta, B Rienties
International Journal of Educational Technology in Higher Education 18, 1-23, 2021
422021
Modelling student online behaviour in a virtual learning environment
M Hlosta, D Herrmannova, L Vachova, J Kuzilek, Z Zdrahal, A Wolff
arXiv preprint arXiv:1811.06369, 2018
332018
Data literacy for learning analytics
A Wolff, J Moore, Z Zdrahal, M Hlosta, J Kuzilek
Proceedings of the sixth international conference on learning analytics …, 2016
322016
The engagement of university teachers with predictive learning analytics
C Herodotou, C Maguire, N McDowell, M Hlosta, A Boroowa
Computers & Education 173, 104285, 2021
292021
Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged students in STEM
M Hlosta, C Herodotou, M Fernandez
International Conference on Artificial Intelligence in Education, 2021
152021
Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally?
V Bayer, M Hlosta, M Fernandez
International Conference on Artificial Intelligence in Education, 2021
152021
Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data
M Hlosta, Z Zdrahal, J Zendulka
Knowledge-Based Systems 160, 278-295, 2018
132018
Constrained classification of large imbalanced data by logistic regression and genetic algorithm
M Hlosta, R Stríz, J Kupcík, J Zendulka, T Hruska
International Journal of Machine Learning and Computing 3 (2), 214, 2013
132013
Explaining errors in predictions of at-risk students in distance learning education
M Hlosta, T Papathoma, C Herodotou
Artificial Intelligence in Education: 21st International Conference, AIED …, 2020
102020
Evaluating weekly predictions of at-risk students at the open university: results and issues
D Herrmannova, M Hlosta, J Kuzilek, Z Zdrahal
102015
Measures for recommendations based on past students' activity
M Huptych, M Bohuslavek, M Hlosta, Z Zdrahal
Proceedings of the Seventh International Learning Analytics & Knowledge …, 2017
82017
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