Martin Hlosta

According to our database1, Martin Hlosta authored at least 21 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Guest Editorial of the FGCS Special Issue on Advances in Intelligent Systems for Online Education.
Future Gener. Comput. Syst., 2022

Prediction of Dilatory Behavior in eLearning: A Comparison of Multiple Machine Learning Models.
CoRR, 2022

2021
The engagement of university teachers with predictive learning analytics.
Comput. Educ., 2021

Impact of Predictive Learning Analytics on Course Awarding Gap of Disadvantaged Students in STEM.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally?
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.
Internet High. Educ., 2020

What Do Distance Learning Students Need From Student Analytics?
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.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
Empowering online teachers through predictive learning analytics.
Br. J. Educ. Technol., 2019

ADA: A System for Automating the Learning Data Analytics Processing Life Cycle.
Proceedings of the Transforming Learning with Meaningful Technologies, 2019

2018
Klasifikace na nevyvážených datech ; Classification on unbalanced data.
PhD thesis, 2018

Are we meeting a deadline? classification goal achievement in time in the presence of imbalanced data.
Knowl. Based Syst., 2018

Investigating Influence of Demographic Factors on Study Recommenders.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
Measures for recommendations based on past students' activity.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Ouroboros: early identification of at-risk students without models based on legacy data.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Implementing predictive learning analytics on a large scale: the teacher's perspective.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

2016
Data literacy for learning analytics.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

2014
Developing predictive models for early detection of at-risk students on distance learning modules.
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.
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.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014

2013
MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013


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