Martin Hlosta - RankMe

38 papers A 7B 3Journal 16Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Detection of Disengagement From Voluntary Quizzes: An Explainable Machine Learning Approach in Higher Distance Education. IEEE Trans. Learn. Technol. Behnam Parsaeifard, Christof Imhof, Tansu Pancar, Ioan-Sorin Comsa, Martin Hlosta, Nicole Bergamin, Per Bergamin
2026	A	`conf`	Do High-SES Students Better Overcome Early Difficulties? Testing the Compensatory Advantage Hypothesis in Online University Courses. LAK Martin Hlosta, Ivan Moser, Geoffray Bonnin, Per Bergamin
2026	J	`jnl`	Learning Analytics to Uncover Ethnic Bias in Educational Texts: An Ensemble Learning Approach. J. Learn. Anal. Josmario Albuquerque, Bart Rienties, Martin Hlosta, Wayne Holmes
2025	J	`jnl`	Automated Grading of Students' Handwritten Graphs: A Comparison of Meta-Learning and Vision-Large Language Models. CoRR Behnam Parsaeifard, Martin Hlosta, Per Bergamin
2025	J	`jnl`	Detection of Disengagement from Voluntary Quizzes: An Explainable Machine Learning Approach in Higher Distance Education. CoRR Behnam Parsaeifard, Christof Imhof, Tansu Pancar, Ioan-Sorin Comsa, Martin Hlosta, Nicole Bergamin, Per Bergamin
2025	J	`jnl`	From hype to evidence: exploring large language models for inter-group bias classification in higher education. Interact. Learn. Environ. Josmario Albuquerque, Bart Rienties, Wayne Holmes, Martin Hlosta
2025	—	`ed.`	Joint Proceedings of LAK 2025 Workshops co-located with 15th International Conference on Learning Analytics and Knowledge (LAK 2025), Dublin, Ireland, March 3-4, 2025. LAK Workshops Martin Hlosta, Ivan Moser, Amir Winer, Nitza Geri, Birte Heinemann, Sergej Görzen, Umesh Ramnarain, Christo van der Westhuizen, Mafor Penn, Alireza Gharahighehi, Rani Van Schoors, Paraskevi Topali, Jeroen Ooge, Brendan Flanagan, Owen H. T. Lu, Atsushi Shimada, Namrata Srivastava, Albert C. M. Yang, Hsiao-Ting Tseng, Fumiya Okubo, Eduardo Davalos Anaya, Hiroaki Ogata, Riordan Alfredo, Simon Buckingham Shum, Mutlu Cukurova, Yannis A. Dimitriadis, Charles Lang, Roberto Martínez-Maldonado, Patricia Santos, Olga Viberg, Andy Nguyen, Sanna Järvelä, Carolyn P. Rosé, Alyssa Wise, Michail Giannakos, Kshitij Sharma, Luna Huynh, Amanda Barany, Ryan Shaun Baker, Jionghao Lin, Andrew Katz, Maurice Boothe Jr., Xavier Ochoa, David J. Gagnon, Luke Swanson, Erik Harpstead
2025	A	`conf`	Will they or won't they make it in time? The role of contextual and behavioral predictors in reaching deadlines of mandatory assignments. LAK Christof Imhof, Martin Hlosta, Per Bergamin
2024	—	`conf`	Approximating eye gaze with head pose in a virtual reality microteaching scenario for pre-service teachers. LAK Workshops Ivan Moser, Martin Hlosta, Per Bergamin, Umesh Ramnarain, Christo van der Westhuizen, Mafor Penn, Noluthando Mdlalose, Koketso Pila, Ogegbo Ayodele
2024	J	`jnl`	Co-creating an equality diversity and inclusion learning analytics dashboard for addressing awarding gaps in higher education. Br. J. Educ. Technol. Vaclav Bayer, Paul Mulholland, Martin Hlosta, Tracie Farrell, Christothea Herodotou, Miriam Fernández
2024	J	`jnl`	Exploring pre-service teachers' intentions of adopting and using virtual reality classrooms in science education. Educ. Inf. Technol. Ayodele Abosede Ogegbo, Mafor Penn, Umesh Ramnarain, Oniccah Pila, Christo van der Westhuizen, Noluthando Mdlalose, Ivan Moser, Martin Hlosta, Per Bergamin
2024	—	`ed.`	Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), Kyoto, Japan, March 18-22, 2024. LAK Workshops Martin Hlosta, Ivan Moser, Brendan Flanagan, Gloria Milena Fernández Nieto, Lixiang Yan, Angela Stewart, Amir Winer, Nitza Geri, Umesh Ramnarain, Christo van der Westhuizen, Atsushi Shimada, Fumiya Okubo, Hsiao-Ting Tseng, Albert C. M. Yang, Owen H. T. Lu, Hiroaki Ogata, Vanessa Echeverría, Roberto Martínez Maldonado, Yi-Shan Tsai, LuEttaMae Lawrence, Shaveen Singh, Stanislav Pozdniakov, Lujie Karen Chen, Jiaqi Gong, Louise Yarnall, Andy Nguyen, Lele Sha, Jionghao Lin, Mutlu Cukurova, Kshitij Sharma, Linxuan Zhao, Yuheng Li, Yueqiao Jin, Dragan Gasevic, Caitlin Mills, Stephen Hutt
2023	B	`conf`	CERSEI: Cognitive Effort Based Recommender System for Enhancing Inclusiveness. EC-TEL Geoffray Bonnin, Vaclav Bayer, Miriam Fernández, Christothea Herodotou, Martin Hlosta, Paul Mulholland
2023	J	`jnl`	Prediction of Dilatory Behavior in eLearning: A Comparison of Multiple Machine Learning Models. IEEE Trans. Learn. Technol. Christof Imhof, Ioan-Sorin Comsa, Martin Hlosta, Behnam Parsaeifard, Ivan Moser, Per Bergamin
2023	A	`conf`	Predictive Learning Analytics and University Teachers: Usage and perceptions three years post implementation. LAK Christothea Herodotou, Claire Maguire, Martin Hlosta, Paul Mulholland
2022	J	`jnl`	Guest Editorial of the FGCS Special Issue on Advances in Intelligent Systems for Online Education. Future Gener. Comput. Syst. Geoffray Bonnin, Danilo Dessì, Gianni Fenu, Martin Hlosta, Mirko Marras, Harald Sack
2022	J	`jnl`	Prediction of Dilatory Behavior in eLearning: A Comparison of Multiple Machine Learning Models. CoRR Christof Imhof, Ioan-Sorin Comsa, Martin Hlosta, Behnam Parsaeifard, Ivan Moser, Per Bergamin
2022	J	`jnl`	Predictive learning analytics in online education: A deeper understanding through explaining algorithmic errors. Comput. Educ. Artif. Intell. Martin Hlosta, Christothea Herodotou, Tina Papathoma, Anna Gillespie, Per Bergamin
2021	—	`conf`	Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged Students in STEM. AIED (2) Martin Hlosta, Christothea Herodotou, Vaclav Bayer, Miriam Fernández
2021	—	`conf`	Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally? AIED (2) Vaclav Bayer, Martin Hlosta, Miriam Fernández
2021	J	`jnl`	The engagement of university teachers with predictive learning analytics. Comput. Educ. Christothea Herodotou, Claire Maguire, Nicola McDowell, Martin Hlosta, Avinash Boroowa
2020	—	`conf`	Explaining Errors in Predictions of At-Risk Students in Distance Learning Education. AIED (2) Martin Hlosta, Tina Papathoma, Christothea Herodotou
2020	J	`jnl`	The scalable implementation of predictive learning analytics at a distance learning university: Insights from a longitudinal case study. Internet High. Educ. Christothea Herodotou, Bart Rienties, Martin Hlosta, Avinash Boroowa, Chrysoula Mangafa, Zdenek Zdráhal
2020	—	`conf`	What Do Distance Learning Students Need From Student Analytics? ICLS Christothea Herodotou, Avinash Boroowa, Martin Hlosta, Bart Rienties
2019	B	`conf`	ADA: A System for Automating the Learning Data Analytics Processing Life Cycle. EC-TEL Dilek Çelik, Alexander Mikroyannidis, Martin Hlosta, Allan Third, John Domingue
2019	J	`jnl`	Empowering online teachers through predictive learning analytics. Br. J. Educ. Technol. Christothea Herodotou, Martin Hlosta, Avinash Boroowa, Bart Rienties, Zdenek Zdráhal, Chrysoula Mangafa
2018	J	`jnl`	Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data. Knowl. Based Syst. Martin Hlosta, Zdenek Zdráhal, Jaroslav Zendulka
2018	—	`conf`	Investigating Influence of Demographic Factors on Study Recommenders. AIED (2) Michal Huptych, Martin Hlosta, Zdenek Zdráhal, Jakub Kocvara
2018	—	`—`	Klasifikace na nevyvážených datech ; Classification on unbalanced data. Martin Hlosta
2018	J	`jnl`	Modelling student online behaviour in a virtual learning environment. CoRR Martin Hlosta, Drahomira Herrmannova, Lucie Vachova, Jakub Kuzilek, Zdenek Zdráhal, Annika Wolff
2017	A	`conf`	Implementing predictive learning analytics on a large scale: the teacher's perspective. LAK Christothea Herodotou, Bart Rienties, Avinash Boroowa, Zdenek Zdráhal, Martin Hlosta, Galina Naydenova
2017	A	`conf`	Measures for recommendations based on past students' activity. LAK Michal Huptych, Michal Bohuslavek, Martin Hlosta, Zdenek Zdráhal
2017	A	`conf`	Ouroboros: early identification of at-risk students without models based on legacy data. LAK Martin Hlosta, Zdenek Zdráhal, Jaroslav Zendulka
2016	A	`conf`	Data literacy for learning analytics. LAK Annika Wolff, John Moore, Zdenek Zdráhal, Martin Hlosta, Jakub Kuzilek
2014	—	`conf`	Developing predictive models for early detection of at-risk students on distance learning modules. LAK Workshops Annika Wolff, Zdenek Zdráhal, Drahomira Herrmannova, Jakub Kuzilek, Martin Hlosta
2014	—	`conf`	Modelling student online behaviour in a virtual learning environment. LAK Workshops Martin Hlosta, Drahomira Herrmannova, Lucie Vachova, Jakub Kuzilek, Zdenek Zdráhal, Annika Wolff
2014	B	`conf`	VGEN: Fast Vertical Mining of Sequential Generator Patterns. DaWaK Philippe Fournier-Viger, Antonio Gomariz, Michal Sebek, Martin Hlosta
2013	—	`conf`	MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns. ADMA (1) Michal Sebek, Martin Hlosta, Jaroslav Zendulka, Tomas Hruska