Publications

2024

Cavus, M., & Kuzilek, J. (2024) The Actionable Explanations for Student Success Prediction Models: A Benchmark Study on the Quality of Counterfactual Methods. Human-Centric eXplainable AI in Education Workshop at 17th Educational Data Mining Conference 2024.

Palomino, A., Fischer, A., Kuzilek, J., Nitsch, J., Pinkwart, N., & Paaßen, B. (2024) EdTec-QBuilder: A Semantic Retrieval Tool for Assembling Vocational Training Exams in German Language. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations). pp. 26–35.

Rüdian, S., Schumacher, C., Hanses, M., Kuzilek, J., & Pinkwart, N. (2024) Rule-based and prediction-based computer-generated Feedback in Online Courses. 2024 IEEE International Conference on Advanced Learning Technologies (ICALT). IEEE, pp. 285–86.

2023

Ifenthaler, D., Schumacher, C., & Kuzilek, J. (2023) Investigating students’ use of self-assessments in higher education using learning analytics. Journal of Computer Assisted Learning, vol. 39, no. 1, pp. 255–68.

Kuzilek, J., Zdrahal, Z., Vaclavek, J., Fuglik, V., Skocilas, J., & Wolff, A. (2023) First-Year Engineering Students’ Strategies for Taking Exams. International Journal of Artificial Intelligence in Education, vol. 33, no. 3, pp. 583–608.

Rüdian, S., Schumacher, C., Kuzilek, J., & Pinkwart, N. (2023) Pre-selecting Text Snippets to provide formative Feedback in Online Learning. Proceedings of the 16th International Conference on Educational Data Mining, Bengaluru, India.

Schumacher, C., Kuzilek, J., & Ifenthaler, D. (2023) Investigating Generic, Specific, and Adaptive Specific Prompts in Digital Learning Environments Using Trace Data. AERA Annual Meeting, Chicago, IL, USA.

Schumacher, C., Ifenthaler, D., & Kuzilek, J. (2023) Using students’ interaction with selfassessments during the semester for predicting course success. EARLI 2023, 20th Biennial EARLI Conference.

2022

Marmolejo-Ramos, F. et al. (2022) Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1479.

C. Schumacher, & J. Kuzilek. (2022). How do students perceive algorithmic grouping in higher education? Poster to be presented at the Conference on Learning Analytics and Knowledge, Virtual Conference, 21-03-2022, 2022

C. Schumacher, J. Kuzilek, & D. Ifenthaler. (2022). Investigating students' use of online formative self-assessments in higher education using learning analytics. Accepted for presentation at AERA Annual Meeting, Hybrid Conference, 21-04-2022, 2022

2021

Kuzilek, J., Zdrahal, Z., & Fuglik, V. (2021). Student success prediction using student exam behaviour. Future Generation Computer Systems.

Clara Schumacher, & Jakub Kuzilek (2021). Perfect Match? Investigating Students’ Perceptions About Algorithmic Grouping in Higher Education. Presented at 2021 AECT International Convention.

Paaßen, B., et. al. (2021). Analyzing Student Success and Mistakes in Virtual Microscope Structure Search Tasks. In Proceedings of the 15th International Conference on Educational Data Mining (EDM 2021).

C. Schumacher, & J. Kuzilek (2021). Student perspectives on automatic grouping in higher education. In Presented at Junges Forum für Medien und Hochschulentwicklung, Virtual Conference, 09-06-2021.

Schumacher, C., Reich-Stiebert, N., Kuzilek, J., Burchart, M., Raimann, J., Voltmer, J.-B., & Stürmer, S. (2021). Group perceptions vs. group reality: Exploring the fit of self-report and log file data in the process of collaboration. In Companion proceedings of Conference on Learning Analytics and Knowledge 2021, Virtual Conference, 15-04-2021. Poster

2020

Kuzilek, J., Zdrahal, Z., Vaclavek, J., Fuglik, V., & Skocilas, J. (2020). Exploring Exam Strategies of Successful First Year Engineering Students. In Proceedings of the Tenth International Conference on Learning Analytics & Knowledge (pp. 124–128). Association for Computing Machinery. Presentation

Klamma, J. (2020). Scaling Mentoring Support with Distributed Artificial Intelligence. In Intelligent Tutoring Systems (pp. 38–44). Springer International Publishing.

2019

Kuzilek, J., Vaclavek, J., Zdrahal, Z., & Fuglik, V. (2019). Analysing Student VLE Behaviour Intensity and Performance. In European Conference on Technology Enhanced Learning (pp. 587–590). Poster

2018

Vaclavek, J., Kuzilek, J., Skocilas, J., Zdrahal, & Fuglik, V. (2018). Learning Analytics Dashboard Analysing First-Year Engineering Students. In Lifelong Technology-Enhanced Learning. EC-TEL 2018. (pp. 575–578). Presentation

Kuzilek, J., Vaclavek, J., Fuglik, & Zdrahal, Z. (2018). Student Drop-out Modelling Using Virtual Learning Environment Behaviour Data. In Lifelong Technology-Enhanced Learning. EC-TEL 2018. (pp. 166–171).

2017

Kuzilek, J., Hlosta, & Zdrahal, Z. (2017). Open University Learning Analytics dataset. Scientific Data, 4.

2016

Wolff, A., Moore, J., Zdrahal, Z., Hlosta, & Kuzilek, J. (2016). Data literacy for learning analytics. In Proceedings of the Sixth International Conference on Learning Analytics & Knowledge (pp. 500–501).

2015

Kuzilek, J., Hlosta, M., Herrmannova, D., Zdrahal, Z., Vaclavek, J., & Wolff, A. (2015). OU Analyse: analysing at-risk students at The Open University. LACE: Learning Analytics Review, 1–16.

Herrmannova, D., Hlosta, M., Kuzilek, & Zdrahal, Z. (2015). Evaluating weekly predictions of at-risk students at the Open University: results and issues. In Proceedings of the European Distance and E-Learning Network 2015 Annual Conference (pp. 200–208).

2014

Kuzilek, J., Kremen, & Lhotska, L. (2014). Comparison of JADE and Canonical Correlation Analysis for ECG de-noising. In Proceedings of 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 3857–3860).

Hlosta, M., Herrmannova, D., Vachova, L., Kuzilek, J., Zdrahal, & Wolff, A. (2014). Modelling Student Online Behaviour in a Virtual Learning Environment. In Proceedings of the 4th International Conference on Learning Analytics and Knowledge (pp. 1–4).

Wolff, A., Zdrahal, Z., Herrmannova, D., Kuzilek, & Hlosta, M. (2014). Developing Predictive Models for Early Detection of at-risk Students on Distance Learning Modules. In Proceedings of the 4th International Conference on Learning Analytics and Knowledge (pp. 1–4).

Kuzilek, J., Kremen, V., Soucek, & Lhotska, L. (2014). Independent Component Analysis and Decision Trees for ECG Holter Recording De-Noising. PLoS ONE, 9(6), 1–16.

Macas, M., Bhonerkar, A., Kumar, R., Kaur, R., Kuzilek, J., Gerla, V., Lhotska, & Kapur, P. (2014). Binary Social Impact Theory based Optimization and Its Applications in Pattern Recognition. Neurocomputing, 132(0), 85–96.

2013

Kuzilek, J., & Lhotska, L. (2013). Advanced Signal Processing Techniques for Fetal ECG Analysis. In Computing in Cardiology 2013 (pp. 177–180).

Kuzilek, J. (2013). Independent Component Analysis: Applications in ECG Signal Processing. FEE, CTU in Prague.

Lhotska, L., Kuzilek, J., Chudacek, V., Novak, P., Novak, & Havlik, J. (2013). Case Studies of Students Involvement in Research. In Proceedings of the 24th Annual Conference on Proceedings of the 24th Annual Conference on European Association for Education in Proceedings of the 24th Annual Conference on European Association for Education in p Electrical and Information Engineering (pp. 204–209).

Kuzilek, J., & Lhotska, L. (2013). Beat Detection Enhancing Using AdaBoost. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (pp. 280–283).

Kuzilek, J., & Lhotska, L. (2013). Electrocardiogram Beat Detection Enhancement Using Independent Component Analysis. Medical Engineering & Physics, 35(6), 704–711.

Kuzilek, J., Lhotska, & Huptych, M. (2013). Extraction of Beats from Noisy ECG Using ICA. In IFMBE Proceedings: World Congress on Medical Physics and Biomedical Engineering (pp. 469–472).

2012

Odstrcilik, T., Kuzilek, J., Chudacek, & Lhotska, L. (2012). Scoring System for 12 Lead ECG Quality Assessment. In Computing in Cardiology 2012 (pp. 1–3).

Macas, M., Kuzilek, J., Huptych, & Odstrcilik, T. (2012). Linear Bayes Classification for Mortality Prediction. In Computing in Cardiology 2012 (pp. 1–4).

2011

Kuzilek, J., Lhotska, & Hanuliak, M. (2011). An Automatic Method for Holter ECG Denoising Using ICA. In In ACM Digital Library: Proceedings of 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies (pp. 1–5).

Chudacek, V., Zach, L., Kuzilek, J., Spilka, & Lhotska, L. (2011). Simple Scoring System for ECG Signal Quality Assessment on Android Platform. In Computing in Cardiology (pp. 449–451).

Zach, L., Chudacek, V., Spilka, J., Huptych, M., BurSa, M., Kuzilek, J., Lhotska, & Janku, P. (2011). Mobile CTG Fetal Heart Rate Assessment using Android Platform. In Computing in Cardiology (pp. 66).

Kuzilek, J., Huptych, M., Chudacek, V., Spilka, & Lhotska, L. (2011). Data Driven Approach to ECG Signal Quality Assessment using Multistep SVM Classification. In Computing in Cardiology (pp. 453–455).

Kuzilek, J., Spilka, J., Kremen, & Lhotska, L. (2011). Multimedia Support in Education of ECG Signal Analysis. In IFMBE Proceedings (pp. 1378–1381).

2010

Vavrecka, M., Lhotska, & Kuzilek, J. (2010). Classification of the EEG feature components. In 10th International Conference on Information Technology and Applications in Biomedicine.

Kuzilek, J., Lhotska, & Hanuliak, M. (2010). Processing Holter ECG signal corrupted with noise: Using ICA for QRS complex detection. In Conference Proceedings of The 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (pp. 1–4).

Spilka, J., Chudacek, V., Kuzilek, J., Lhotska, & Hanuliak, M. (2010). Detection of Inferior Myocardial Infarction: A Comparison of Various Decision Systems and Learning Algorithms. In Computing in Cardiology 2010 Preprints (pp. 273–276).

Spilka, J., Kuzilek, J., Chudacek, V., Lhotska, & Hanuliak, M. (2010). Using One-Rule Algorithm To Find Optimal Thresholds For Detection Of Inferior Myocardial Infarction. In Analysis of Biomedical Signals and Images, BIOSIGNAL 2010, Proceedings (pp. 233–239).

Kuzilek, J., Spilka, J., Lhotska, & Hanuliak, M. (2010). Detection of Myocardial Infarction Using ICA. In Analysis of Biomedical Signals and Images, BIOSIGNAL 2010, Proceedings (pp. 118–121).