Automated Assessment and Microlearning Units as Predictors of At-risk Students and Students’ Outcomes in the Introductory Programming Courses

by Jan Skalka, Martin Drlik
Published 2020-06-01

Towards Predicting Student’s Dropout in University Courses Using Different Machine Learning Techniques

by Janka Kabathova, Martin Drlik
Published 2021-04-01

Understanding Time-Based Trends in Stakeholders’ Choice of Learning Activity Type Using Predictive Models

by Martin Drlik, Michal Munk
Published 2019-01-01

Using of n-grams from morphological tags for fake news classification

by Jozef Kapusta, Martin Drlik, Michal Munk
Published 2021-07-01

Identification of Changes in VLE Stakeholders’ Behavior Over Time Using Frequent Patterns Mining

by Martin Drlik, Michal Munk, Jan Skalka
Published 2021-01-01

Modelling of domestic and foreign visitors’ behaviour at commercial bank website during the recent financial crisis

by Martin Drlík, Anna Pilková, Michal Munk, Peter Švec
Published 2013-01-01

User Identification in the Process of Web Usage Data Preprocessing

by Jozef Kapusta, Michal Munk, Dominik Halvoník, Martin Drlík
Published 2019-05-01

Quantitative and Qualitative Evaluation of Sequence Patterns Found by Application of Different Educational Data Preprocessing Techniques

by Michal Munk, Martin Drlik, L'ubomir Benko, Jaroslav Reichel
Published 2017-01-01

Verification of the fulfilment of the purposes of Basel II, Pillar 3 through application of the web log mining methods

by M. Munk, A. Pilková, Martin Drlík, J. Kapusta, P. Švec
Published 2012-01-01

Conceptual Framework for Programming Skills Development Based on Microlearning and Automated Source Code Evaluation in Virtual Learning Environment

by Jan Skalka, Martin Drlik, Lubomir Benko, Jozef Kapusta, Juan Carlos Rodríguez del Pino, Eugenia Smyrnova-Trybulska, Anna Stolinska, Peter Svec, Pavel Turcinek
Published 2021-03-01