| 2026 | LAK | Do High-SES Students Better Overcome Early Difficulties? Testing the Compensatory Advantage Hypothesis in Online University Courses. | Martin Hlosta, Ivan Moser, Geoffray Bonnin, Per Bergamin |
| 2026 | QoMEX | EDU360: An Open Multimodal Dataset of Gaze, Head Motion, and User Experience in Educational 360-Degree Videos. | Syed Mohammad Haseeb Ul Hassan, Ivan Moser, Martin Hlosta, Ioan-Sorin Comsa, Per Bergamin, Attracta Brennan, Gabriel-Miro Muntean, Jennifer McManis |
| 2025 | LAK | Will they or won't they make it in time? The role of contextual and behavioral predictors in reaching deadlines of mandatory assignments. | Christof Imhof, Martin Hlosta, Per Bergamin |
| 2024 | LAK | 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 |
| 2023 | LAK | Predictive Learning Analytics and University Teachers: Usage and perceptions three years post implementation. | Christothea Herodotou, Claire Maguire, Martin Hlosta, Paul Mulholland |
| 2021 | AIED | Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally? | Vaclav Bayer, Martin Hlosta, Miriam Fernndez |
| 2021 | AIED | Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged Students in STEM. | Martin Hlosta, Christothea Herodotou, Vaclav Bayer, Miriam Fernndez |
| 2020 | AIED | Explaining Errors in Predictions of At-Risk Students in Distance Learning Education. | Martin Hlosta, Tina Papathoma, Christothea Herodotou |
| 2018 | AIED | Investigating Influence of Demographic Factors on Study Recommenders. | Michal Huptych, Martin Hlosta, Zdenek Zdrhal, Jakub Kocvara |
| 2017 | LAK | Implementing predictive learning analytics on a large scale: the teacher's perspective. | Christothea Herodotou, Bart Rienties, Avinash Boroowa, Zdenek Zdrhal, Martin Hlosta, Galina Naydenova |
| 2017 | LAK | Ouroboros: early identification of at-risk students without models based on legacy data. | Martin Hlosta, Zdenek Zdrhal, Jaroslav Zendulka |
| 2017 | LAK | Measures for recommendations based on past students' activity. | Michal Huptych, Michal Bohuslavek, Martin Hlosta, Zdenek Zdrhal |
| 2016 | LAK | Data literacy for learning analytics. | Annika Wolff, John Moore, Zdenek Zdrhal, Martin Hlosta, Jakub Kuzilek |
| 2014 | DaWaK | VGEN: Fast Vertical Mining of Sequential Generator Patterns. | Philippe Fournier-Viger, Antonio Gomariz, Michal Sebek, Martin Hlosta |
| 2014 | LAK | Modelling student online behaviour in a virtual learning environment. | Martin Hlosta, Drahomira Herrmannova, Lucie Vachova, Jakub Kuzilek, Zdenek Zdrhal, Annika Wolff |
| 2014 | LAK | Developing predictive models for early detection of at-risk students on distance learning modules. | Annika Wolff, Zdenek Zdrhal, Drahomira Herrmannova, Jakub Kuzilek, Martin Hlosta |
| 2013 | ADMA | MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns. | Michal Sebek, Martin Hlosta, Jaroslav Zendulka, Tomas Hruska |