Publication Records

LODOVICO MOLINA, Ivo, Valdemar ŠVÁBENSKÝ, Tsubasa MINEMATSU, Li CHEN, Fumiya OKUBO and Atsushi SHIMADA. Comparison of Large Language Models for Generating Contextually Relevant Questions. In Proceedings of the 19th European Conference on Technology Enhanced Learning (ECTEL). 2024. ISBN 978-3-031-72312-4. Available from: https://dx.doi.org/10.1007/978-3-031-72312-4_18.

ŠVÁBENSKÝ, Valdemar, Maciej PANKIEWICZ, Jiayi ZHANG, Elizabeth B. CLOUDE, Ryan S. BAKER and Eric FOUH. Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades. Online. In Proceedings of the 29th Annual ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE'24). New York, NY, USA: ACM, 2024, p. 87-93. ISBN 979-8-4007-0600-4. Available from: https://dx.doi.org/10.1145/3649217.3653563.

ŠVÁBENSKÝ, Valdemar, François BOUCHET, Francine TARRAZONA, Michael LOPEZ II and Ryan S. BAKER. Data Set Size Analysis for Detecting the Urgency of Discussion Forum Posts. In 14th International Conference on Learning Analytics and Knowledge. 2024.

ŠVÁBENSKÝ, Valdemar, Kristián TKÁČIK, Aubrey BIRDWELL, Richard WEISS, Ryan S. BAKER, Pavel ČELEDA, Jan VYKOPAL, Jens MACHE and Ankur CHATTOPADHYAY. Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments. Online. In Proceedings of the 54th IEEE Frontiers in Education Conference (FIE 2024) [to appear]. New York, NY, USA: IEEE, 2024, p. 1-9.

ŠVÁBENSKÝ, Valdemar, Mélina VERGER, Maria Mercedes T. RODRIGO, Clarence James G. MONTEROZO, Ryan S. BAKER, Miguel Zenon Nicanor L. SAAVEDRA, Sébastien LALLÉ and Atsushi SHIMADA. Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students. In 17th International Conference on Educational Data Mining (EDM 2024). 2024. Available from: https://dx.doi.org/10.5281/zenodo.12729936.

MIYAZAKI, Yuma, Valdemar ŠVÁBENSKÝ, Yuta TANIGUCHI, Fumiya OKUBO, Tsubasa MINEMATSU and Atsushi SHIMADA. E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems. Online. In 17th International Conference on Educational Data Mining (EDM 2024). International Educational Data Mining Society, 2024, p. 434-442. Available from: https://dx.doi.org/10.5281/zenodo.12729854.

ŠVÁBENSKÝ, Valdemar, Jan VYKOPAL, Martin HORÁK, Martin HOFBAUER and Pavel ČELEDA. From Paper to Platform: Evolution of a Novel Learning Environment for Tabletop Exercises. Online. In Proceedings of the 29th Annual ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE'24). New York, NY, USA: ACM, 2024, p. 213-219. ISBN 979-8-4007-0600-4. Available from: https://dx.doi.org/10.1145/3649217.3653639.

VYKOPAL, Jan, Pavel ČELEDA, Valdemar ŠVÁBENSKÝ, Martin HOFBAUER and Martin HORÁK. Research and Practice of Delivering Tabletop Exercises. Online. In Proceedings of the 29th Annual ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE'24). New York, NY, USA: ACM, 2024, p. 220-226. ISBN 979-8-4007-0600-4. Available from: https://dx.doi.org/10.1145/3649217.3653642.

ŠVÁBENSKÝ, Valdemar, Jan VYKOPAL, Pavel ČELEDA and Ján DOVJAK. Automated Feedback for Participants of Hands-on Cybersecurity Training. Education and Information Technologies. Springer, 2023, vol. 2023, No 11, p. 1-30. ISSN 1360-2357. Available from: https://dx.doi.org/10.1007/s10639-023-12265-8.

VYKOPAL, Jan, Pavel ŠEDA, Valdemar ŠVÁBENSKÝ and Pavel ČELEDA. Smart Environment for Adaptive Learning of Cybersecurity Skills. IEEE Transactions on Learning Technologies. 2023, vol. 16, No 3, p. 443-456. ISSN 1939-1382. Available from: https://dx.doi.org/10.1109/TLT.2022.3216345.

ŠVÁBENSKÝ, Valdemar, Ryan S. BAKER, Andrés ZAMBRANO, Yishan ZOU and Stefan SLATER. Towards Generalizable Detection of Urgency of Discussion Forum Posts. Online. In M. Feng, T. Käser, and P. Talukdar. 16th International Conference on Educational Data Mining. International Educational Data Mining Society, 2023, p. 302-309. ISBN 978-1-7336736-4-8. Available from: https://dx.doi.org/10.5281/zenodo.8115790.

KRAUS, Lydia, Valdemar ŠVÁBENSKÝ, Martin HORÁK, Václav MATYÁŠ, Jan VYKOPAL and Pavel ČELEDA. Want to Raise Cybersecurity Awareness? Start with Future IT Professionals. Online. In Proceedings of the 28th Annual ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE'23). New York, NY, USA: ACM, 2023, p. 236-242. ISBN 979-8-4007-0138-2. Available from: https://dx.doi.org/10.1145/3587102.3588862.

ŠVÁBENSKÝ, Valdemar, Jan VYKOPAL, Pavel ČELEDA and Lydia KRAUS. Applications of Educational Data Mining and Learning Analytics on Data From Cybersecurity Training. Education and Information Technologies. Springer, 2022, vol. 27, No 9, p. 12179 - 12212. ISSN 1360-2357. Available from: https://dx.doi.org/10.1007/s10639-022-11093-6.

ŠVÁBENSKÝ, Valdemar, Richard WEISS, Jack COOK, Jan VYKOPAL, Pavel ČELEDA, Jens MACHE, Radoslav CHUDOVSKÝ and Ankur CHATTOPADHYAY. Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises. Online. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education (SIGCSE '22). New York, NY, USA: ACM, 2022, p. 787-793. ISBN 978-1-4503-9070-5. Available from: https://dx.doi.org/10.1145/3478431.3499414.

VYKOPAL, Jan, Valdemar ŠVÁBENSKÝ, Pavel ŠEDA and Pavel ČELEDA. Preventing Cheating in Hands-on Lab Assignments. Online. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education (SIGCSE '22). New York, NY, USA: ACM, 2022, p. 78-84. ISBN 978-1-4503-9070-5. Available from: https://dx.doi.org/10.1145/3478431.3499420.

ŠVÁBENSKÝ, Valdemar, Jan VYKOPAL, Pavel ČELEDA, Kristián TKÁČIK and Daniel POPOVIČ. Student Assessment in Cybersecurity Training Automated by Pattern Mining and Clustering. Education and Information Technologies. Springer, 2022, vol. 27, No 7, p. 9231-9262. ISSN 1360-2357. Available from: https://dx.doi.org/10.1007/s10639-022-10954-4.

OŠLEJŠEK, Radek, Vít RUSŇÁK, Karolína DOČKALOVÁ BURSKÁ, Valdemar ŠVÁBENSKÝ, Jan VYKOPAL and Jakub ČEGAN. Conceptual Model of Visual Analytics for Hands-on Cybersecurity Training. IEEE Transactions on Visualization and Computer Graphics. 2021, vol. 27, No 8, p. 3425-3437. ISSN 1077-2626. Available from: https://dx.doi.org/10.1109/TVCG.2020.2977336.

ŠVÁBENSKÝ, Valdemar, Pavel ČELEDA, Jan VYKOPAL and Silvia BRIŠÁKOVÁ. Cybersecurity Knowledge and Skills Taught in Capture the Flag Challenges. Computers & Security. Elsevier, 2021, vol. 102, No 102154, p. 1-14. ISSN 0167-4048. Available from: https://dx.doi.org/10.1016/j.cose.2020.102154.

ŠVÁBENSKÝ, Valdemar, Jan VYKOPAL, Pavel ŠEDA and Pavel ČELEDA. Dataset of Shell Commands Used by Participants of Hands-on Cybersecurity Training. Data in Brief. Elsevier, 2021, vol. 38, September, p. 1-9. ISSN 2352-3409. Available from: https://dx.doi.org/10.1016/j.dib.2021.107398.

ŠEDA, Pavel, Jan VYKOPAL, Valdemar ŠVÁBENSKÝ and Pavel ČELEDA. Reinforcing Cybersecurity Hands-on Training With Adaptive Learning. Online. In 2021 IEEE Frontiers in Education Conference (FIE). New York, NY, USA: IEEE, 2021, p. 1-9. ISBN 978-1-6654-3851-3. Available from: https://dx.doi.org/10.1109/FIE49875.2021.9637252.

VYKOPAL, Jan, Pavel ČELEDA, Pavel ŠEDA, Valdemar ŠVÁBENSKÝ and Daniel TOVARŇÁK. Scalable Learning Environments for Teaching Cybersecurity Hands-on. Online. In 2021 IEEE Frontiers in Education Conference (FIE). New York, NY, USA: IEEE, 2021, p. 1-9. ISBN 978-1-6654-3851-3. Available from: https://dx.doi.org/10.1109/FIE49875.2021.9637180.

ŠVÁBENSKÝ, Valdemar and Martin UKROP. The Stack: Unplugged Activities for Teaching Computer Science. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). 2021. ISBN 978-1-4503-8062-1. Available from: https://dx.doi.org/10.1145/3408877.3439569.

ŠVÁBENSKÝ, Valdemar, Jan VYKOPAL, Daniel TOVARŇÁK and Pavel ČELEDA. Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training. Online. In 2021 IEEE Frontiers in Education Conference (FIE). New York, NY, USA: IEEE, 2021, p. 1-9. ISBN 978-1-6654-3851-3. Available from: https://dx.doi.org/10.1109/FIE49875.2021.9637052.

GÁLIKOVÁ, Miriam, Valdemar ŠVÁBENSKÝ and Jan VYKOPAL. Toward Guidelines for Designing Cybersecurity Serious Games. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). 2021. ISBN 978-1-4503-8062-1. Available from: https://dx.doi.org/10.1145/3408877.3439568.

VYKOPAL, Jan, Valdemar ŠVÁBENSKÝ and Ee-Chien CHANG. Benefits and Pitfalls of Using Capture The Flag Games in University Courses. Online. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE '20). New York, NY, USA: ACM, 2020, p. 752-758. ISBN 978-1-4503-6793-6. Available from: https://dx.doi.org/10.1145/3328778.3366893.

MOTSCHNIG, Renate, Michael SILBER and Valdemar ŠVÁBENSKÝ. How Does a Student-Centered Course on Communication and Professional Skills Impact Students in the Long Run?. Online. In 2020 IEEE Frontiers in Education Conference (FIE). New York, NY, USA: IEEE, 2020, p. 1-9. ISBN 978-1-7281-8961-1. Available from: https://dx.doi.org/10.1109/FIE44824.2020.9273962.

ČELEDA, Pavel, Jan VYKOPAL, Valdemar ŠVÁBENSKÝ and Karel SLAVÍČEK. KYPO4INDUSTRY: A Testbed for Teaching Cybersecurity of Industrial Control Systems. Online. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE '20). New York, NY, USA: ACM, 2020, p. 1026-1032. ISBN 978-1-4503-6793-6. Available from: https://dx.doi.org/10.1145/3328778.3366908.

UKROP, Martin, Valdemar ŠVÁBENSKÝ and Imrich NAGY. Teaching Lab: Training Novice Computer Science Teachers. In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE ’20). 2020. ISBN 978-1-4503-6874-2. Available from: https://dx.doi.org/10.1145/3341525.3393967.

ŠVÁBENSKÝ, Valdemar, Jan VYKOPAL and Pavel ČELEDA. What Are Cybersecurity Education Papers About? A Systematic Literature Review of SIGCSE and ITiCSE Conferences. Online. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE '20). New York, NY, USA: ACM, 2020, p. 2-8. ISBN 978-1-4503-6793-6. Available from: https://dx.doi.org/10.1145/3328778.3366816.

ŠVÁBENSKÝ, Valdemar. Analyzing User Interactions with Cybersecurity Games. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE’19). 2019. ISBN 978-1-4503-5890-3. Available from: https://dx.doi.org/10.1145/3287324.3293717.

UKROP, Martin, Valdemar ŠVÁBENSKÝ and Jan NEHYBA. Reflective Diary for Professional Development of Novice Teachers. Online. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE’19). Minneapolis, Minnesota, USA: ACM, 2019, p. 1088-1094. ISBN 978-1-4503-5890-3. Available from: https://dx.doi.org/10.1145/3287324.3287448.

ČELEDA, Pavel, Jakub ČEGAN, Kamil ANDONIADIS, Milan ČERMÁK, Jan DUDA, Vlastimil HOLER, Ľuboš HYŽÁK, Boris JADUŠ, Jakub KADAŠI, David LEŠKA, Martin MACHÁČ, Ivo NUTÁR, Radek OŠLEJŠEK, Dominik PILÁR, Tomáš PLESNÍK, Michal PROCHÁZKA, Tomáš REBOK, Vít RUSŇÁK, Miloslav STANĚK, Pavel ŠEDA, Valdemar ŠVÁBENSKÝ, Daniel TOVARŇÁK, Petr VELAN, Martin VIZVÁRY, Jan VYKOPAL and Tatiana ZBONČÁKOVÁ. Software pro simulaci obecných i kritických informačních infrastruktur (Software for simulation of generic and critical information infrastructures). 2019.

ŠVÁBENSKÝ, Valdemar, Jan VYKOPAL and Pavel ČELEDA. Towards Learning Analytics in Cybersecurity Capture the Flag Games. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE’19). 2019. ISBN 978-1-4503-5890-3. Available from: https://dx.doi.org/10.1145/3287324.3293816.

OŠLEJŠEK, Radek, Vít RUSŇÁK, Karolína BURSKÁ, Valdemar ŠVÁBENSKÝ and Jan VYKOPAL. Visual Feedback for Players of Multi-Level Capture the Flag Games: Field Usability Study. Online. In Gove R., Arendt D., Kohlhammer J., Angelini M., Lyn Paul, C., Bryan C. McKenna S., Prigent N., Najafi P., Sopan A. 2019 IEEE Symposium on Visualization for Cyber Security (VizSec). Vancouver, BC, Canada: IEEE, 2019, p. 1-11. ISBN 978-1-7281-3876-3. Available from: https://dx.doi.org/10.1109/VizSec48167.2019.9161386.

ŠVÁBENSKÝ, Valdemar, Jan VYKOPAL, Milan ČERMÁK and Martin LAŠTOVIČKA. Enhancing Cybersecurity Skills by Creating Serious Games. Online. In Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE'18). Larnaca, Cyprus: ACM, 2018, p. 194-199. ISBN 978-1-4503-5707-4. Available from: https://dx.doi.org/10.1145/3197091.3197123.

ŠVÁBENSKÝ, Valdemar and Jan VYKOPAL. Gathering Insights from Teenagers' Hacking Experience with Authentic Cybersecurity Tools. Online. In 2018 IEEE Frontiers in Education Conference (FIE). San Jose, California, USA: IEEE, 2018, p. 1414-1417. ISBN 978-1-5386-1175-3. Available from: https://dx.doi.org/10.1109/FIE.2018.8658840.

ŠVÁBENSKÝ, Valdemar and Jan VYKOPAL. Challenges Arising from Prerequisite Testing in Cybersecurity Games. Online. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education (SIGCSE’18). Baltimore, Maryland, USA: ACM, 2018, p. 56-61. ISBN 978-1-4503-5103-4. Available from: https://dx.doi.org/10.1145/3159450.3159454.