Valdemar's research profile (see also CV)
| Academic position | Institution and country | Advisor(s) | Duration |
|---|---|---|---|
| Postdoc |  Kyushu University, Japan |
Atsushi Shimada | 15 months |
| Research stay |  Ateneo de Manila University, Philippines |
Maria Mercedes T. Rodrigo | 1 month |
| Research stay |  Sorbonne University, France |
François Bouchet | 1 month |
| Postdoc |  University of Pennsylvania, USA |
Ryan S. Baker | 12 months |
| Research stay | Northern Kentucky University, USA |
Ankur Chattopadhyay | 1 month |
| Ph.D. |  Masaryk University, Czech Republic |
Pavel Čeleda and Jan Vykopal | 5 years |
| Master's exchange |  University of Copenhagen, Denmark |
– | 6 months |
| Scientific database | Citations | h-index | Profile ID and link |
|---|---|---|---|
 Google Scholar |
962 | 16 | CSMVlf0AAAAJ |
 Scopus |
481 | 12 | 57215670820 |
 Web of Science |
328 | 9 | GPG-1431-2022 |
- Other academic profiles: ORCID, ArXiv, Semantic Scholar, DBLP, Zenodo, MUNI
- Professional social networks: ResearchGate, Academia, LinkedIn, Twitter
- 43 publications total — 21x leading author, published with 65 distinct co-authors
8 journal papers in international WoS-indexed journals
27 conference papers in proceedings of international ICORE-ranked conferences
8 conference poster papers in proceedings of international ICORE-ranked conferences
- Each paper title links to the official publisher's version. Please use
references.bibto cite. -
🏆 ⭐ 🚀 Best Paper Award Featured Highly cited Open access
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[43] (in press) PALM: PAnoramic Learning Map Integrating Learning Analytics and Curriculum Map for Scalable Insights Across Courses
M. Ozaki, L. Chen, S. Naganuma, V. Švábenský, F. Okubo, A. Shimada | IEEE SMC
[bib]
[preprint] -
[42] Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features
S. Yoneda, V. Švábenský, G. Li, D. Deguchi, A. Shimada | EDM
[bib]
[preprint]
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[41] LECTOR: Summarizing E-book Reading Content for Personalized Student Support
E. López, C. Tang, V. Švábenský, F. Okubo, A. Shimada | IJAIED
[bib]
[preprint]
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[40] Single-Agent vs. Multi-Agent LLM Strategies for Automated Student Reflection Assessment
G. Li, L. Chen, C. Tang, V. Švábenský, D. Deguchi, T. Yamashita, A. Shimada | PAKDD
[bib]
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[39] Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance
S. Leelaluk, C. Tang, V. Švábenský, A. Shimada | ACM SAC
[bib]
[preprint]
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[38] Evaluating the Impact of Data Augmentation on Predictive Model Performance
V. Švábenský, C. Borchers, E. Cloude, A. Shimada | LAK
[bib]
[preprint]
[slides]
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[37] Cybersecurity Study Programs: What's in a Name?
J. Vykopal, V. Švábenský, M. Lopez, P. Čeleda | ACM SIGCSE
[bib]
[preprint]
[slides]
[data and code]
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[36] Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments
V. Švábenský, K. Tkáčik, A. Birdwell, R. Weiss, R. Baker, P. Čeleda, J. Vykopal, J. Mache, A. Chattopadhyay | IEEE FIE
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[35] Comparison of Large Language Models for Generating Contextually Relevant Questions
I. Molina, V. Švábenský, T. Minematsu, L. Chen, F. Okubo, A. Shimada | Springer ECTEL
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[preprint]
[poster]
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[34] Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students
V. Švábenský, M. Verger, M. Rodrigo, C. Monterozo, R. Baker, M. Saavedra, S. Lallé, A. Shimada | EDM
[bib]
[preprint]
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[33] E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems
Y. Miyazaki, V. Švábenský, Y. Taniguchi, F. Okubo, T. Minematsu, A. Shimada | EDM
[bib]
[preprint]
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[32] ⭐ From Paper to Platform: Evolution of a Novel Learning Environment for Tabletop Exercises
V. Švábenský, J. Vykopal, M. Horák, M. Hofbauer, P. Čeleda | ACM ITiCSE
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[31] Research and Practice of Delivering Tabletop Exercises
J. Vykopal, P. Čeleda, V. Švábenský, M. Hofbauer, M. Horák | ACM ITiCSE
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[30] Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades
V. Švábenský, M. Pankiewicz, J. Zhang, E. Cloude, R. Baker, E. Fouh | ACM ITiCSE
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[29] Data Set Size Analysis for Predicting the Urgency of Discussion Forum Posts
V. Švábenský, F. Bouchet, F. Tarrazona, M. Lopez, R. Baker | LAK
[bib]
[preprint]
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[28] 🏆 Towards Generalizable Detection of Urgency of Discussion Forum Posts
V. Švábenský, R. Baker, A. Zambrano, Y. Zou, S. Slater | EDM
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[27] ⭐ Automated Feedback for Participants of Hands-on Cybersecurity Training
V. Švábenský, J. Vykopal, P. Čeleda, J. Dovjak | Springer EaIT
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[26] Want to Raise Cybersecurity Awareness? Start with Future IT Professionals.
L. Kraus, V. Švábenský, M. Horák, V. Matyáš, J. Vykopal, P. Čeleda | ACM ITiCSE
[bib]
[preprint]
[slides]
[questionnaire]
[course]
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[25] Smart Environment for Adaptive Learning of Cybersecurity Skills
J. Vykopal, P. Seda, V. Švábenský, P. Čeleda | IEEE TLT
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[24] Applications of Educational Data Mining and Learning Analytics on Data From Cybersecurity Training
V. Švábenský, J. Vykopal, P. Čeleda, L. Kraus | Springer EaIT
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[23] ⭐ Student Assessment in Cybersecurity Training Automated by Pattern Mining and Clustering
V. Švábenský, J. Vykopal, P. Čeleda, K. Tkáčik, D. Popovič | Springer EaIT
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[22] Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises
V. Švábenský, R. Weiss, J. Cook, J. Vykopal, P. Čeleda, J. Mache, R. Chudovský, A. Chattopadhyay | ACM SIGCSE
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[21] 🏆 Preventing Cheating in Hands-on Lab Assignments
J. Vykopal, V. Švábenský, P. Seda, P. Čeleda | ACM SIGCSE
[bib]
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[code]
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[20] ⭐ Dataset of Shell Commands Used by Participants of Hands-on Cybersecurity Training
V. Švábenský, J. Vykopal, P. Seda, P. Čeleda | Elsevier DiB
[bib]
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[19] Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training
V. Švábenský, J. Vykopal, D. Tovarňák, P. Čeleda | IEEE FIE
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[18] 🚀 Scalable Learning Environments for Teaching Cybersecurity Hands-on
J. Vykopal, P. Čeleda, P. Seda, V. Švábenský, D. Tovarňák | IEEE FIE
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[17] Reinforcing Cybersecurity Hands-on Training With Adaptive Learning
P. Seda, J. Vykopal, V. Švábenský, P. Čeleda | IEEE FIE
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[16] Toward Guidelines for Designing Cybersecurity Serious Games
M. Gáliková, V. Švábenský, J. Vykopal | ACM SIGCSE
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[15] The Stack: Unplugged Activities for Teaching Computer Science
V. Švábenský, M. Ukrop | ACM SIGCSE
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[14] ⭐ 🚀 Cybersecurity Knowledge and Skills Taught in Capture the Flag Challenges
V. Švábenský, P. Čeleda, J. Vykopal, S. Brišáková | Elsevier CoSe
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[13] How Does a Student-Centered Course on Communication and Professional Skills Impact Students in the Long Run?
R. Motschnig, M. Silber, V. Švábenský | IEEE FIE
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[12] Teaching Lab: Training Novice Computer Science Teachers
M. Ukrop, V. Švábenský, I. Nagy | ACM ITiCSE
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[11] 🏆 🚀 What Are Cybersecurity Education Papers About? A Systematic Literature Review of SIGCSE and ITiCSE Conferences
V. Švábenský, J. Vykopal, P. Čeleda | ACM SIGCSE
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[10] 🚀 Benefits and Pitfalls of Using Capture The Flag Games in University Courses
J. Vykopal, V. Švábenský, E. Chang | ACM SIGCSE
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[9] KYPO4INDUSTRY: A Testbed for Teaching Cybersecurity of Industrial Control Systems
P. Čeleda, J. Vykopal, V. Švábenský, K. Slavíček | ACM SIGCSE
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[8] Conceptual Model of Visual Analytics for Hands-on Cybersecurity Training
R. Ošlejšek, V. Rusňák, K. Burská, V. Švábenský, J. Vykopal, J. Čegan | IEEE TVCG
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[7] Visual Feedback for Players of Multi-Level Capture the Flag Games: Field Usability Study
R. Ošlejšek, V. Rusňák, K. Burská, V. Švábenský, J. Vykopal | IEEE VizSec
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[6] 🚀 Reflective Diary for Professional Development of Novice Teachers
M. Ukrop, V. Švábenský, J. Nehyba | ACM SIGCSE
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[5] Towards Learning Analytics in Cybersecurity Capture the Flag Games
V. Švábenský, J. Vykopal, P. Čeleda | ACM SIGCSE
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[4] Analyzing User Interactions with Cybersecurity Games
V. Švábenský | ACM SIGCSE
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[3] Gathering Insights from Teenagers' Hacking Experience with Authentic Cybersecurity Tools
V. Švábenský, J. Vykopal | IEEE FIE
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[2] 🚀 Enhancing Cybersecurity Skills by Creating Serious Games
V. Švábenský, J. Vykopal, M. Čermák, M. Laštovička | ACM ITiCSE
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[1] Challenges Arising from Prerequisite Testing in Cybersecurity Games
V. Švábenský, J. Vykopal | ACM SIGCSE
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