Valdemar's research profile (see also CV)
| Academic position | Institution and country | Advisor(s) | Duration |
|---|---|---|---|
| Assistant Professor |  Masaryk University, Czech Republic |
– | now |
| 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 |
|---|---|---|---|
| 1192 | 18 | CSMVlf0AAAAJ | |
| 598 | 14 | 57215670820 | |
| 401 | 10 | GPG-1431-2022 |
- Other academic profiles: ORCID, ArXiv, Semantic Scholar, DBLP, Zenodo, MUNI
- Professional social networks: ResearchGate, Academia, LinkedIn, Twitter
- 48 publications total — 23x leading author, published with 75 distinct co-authors
10 journal papers in international WoS-indexed journals
30 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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[48] (in press) Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?
C. Borchers, V. Švábenský, S. Kafle, K. Tang, J. Vykopal | AIED
[bib]
[preprint] -
[47] ⭐ Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE
V. Švábenský, B. Flanagan, E. López, A. Shimada | ACM TKDD
[bib]
[preprint]
[data and code] -
[46] ⭐ (in press) Fifteen Years of Learning Analytics Research: Topics, Trends, and Challenges
V. Švábenský, C. Borchers, E. Fortuna, E. Cloude, D. Gašević | LAK
[bib]
[preprint]
[data and code] -
[45] (in press) Measuring the Impact of Student Gaming Behaviors on Learner Modeling
Q. Liu, L. Li, V. Švábenský, C. Borchers, M. Khalil | LAK
[bib]
[preprint]
[code] -
[44] Long-term Effects of Promoting Communication and Soft Skills in Higher Computing Education
R. Motschnig, D. Dolezal, V. Švábenský, K. Palubová, M. Silber | ACM TOCE
[bib]
[preprint]
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[43] 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]
[code] -
[41] LECTOR: Summarizing E-book Reading Content for Personalized Student Support
E. López, C. Tang, V. Švábenský, F. Okubo, A. Shimada | IJAIED
[bib]
[preprint]
[code] -
[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]
[preprint] -
[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]
[code] -
[38] Evaluating the Impact of Data Augmentation on Predictive Model Performance
V. Švábenský, C. Borchers, E. Cloude, A. Shimada | LAK
[bib]
[preprint]
[slides]
[code] -
[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
[bib]
[preprint]
[slides]
[data]
[code 1]
[code 2]
[training]
[platform 1]
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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
[bib]
[preprint]
[poster]
[code] -
[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]
[poster]
[code] -
[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]
[code] -
[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
[bib]
[preprint]
[slides]
[data and code]
[platform] -
[31] Research and Practice of Delivering Tabletop Exercises
J. Vykopal, P. Čeleda, V. Švábenský, M. Hofbauer, M. Horák | ACM ITiCSE
[bib]
[preprint]
[slides]
[data and materials] -
[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
[bib]
[preprint]
[data and code] -
[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]
[poster]
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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
[bib]
[preprint]
[slides]
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[27] ⭐ Automated Feedback for Participants of Hands-on Cybersecurity Training
V. Švábenský, J. Vykopal, P. Čeleda, J. Dovjak | Springer EaIT
[bib]
[preprint]
[data and code]
[training]
[platform] -
[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
[bib]
[preprint]
[training]
[platform] -
[24] Applications of Educational Data Mining and Learning Analytics on Data From Cybersecurity Training
V. Švábenský, J. Vykopal, P. Čeleda, L. Kraus | Springer EaIT
[bib]
[preprint]
[data] -
[23] ⭐ Student Assessment in Cybersecurity Training Automated by Pattern Mining and Clustering
V. Švábenský, J. Vykopal, P. Čeleda, K. Tkáčik, D. Popovič | Springer EaIT
[bib]
[preprint]
[data]
[code]
[training]
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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
[bib]
[preprint]
[slides]
[video]
[data and code]
[training]
[platform 1]
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[21] 🏆 Preventing Cheating in Hands-on Lab Assignments
J. Vykopal, V. Švábenský, P. Seda, P. Čeleda | ACM SIGCSE
[bib]
[preprint]
[slides]
[code]
[platform]
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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]
[preprint]
[data]
[data backup] -
[19] Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training
V. Švábenský, J. Vykopal, D. Tovarňák, P. Čeleda | IEEE FIE
[bib]
[preprint]
[slides]
[video]
[data and code]
[platform 1]
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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
[bib]
[preprint]
[slides]
[video]
[platform 1]
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[documentation] -
[17] Reinforcing Cybersecurity Hands-on Training With Adaptive Learning
P. Seda, J. Vykopal, V. Švábenský, P. Čeleda | IEEE FIE
[bib]
[preprint]
[slides]
[video]
[data and code]
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[16] Toward Guidelines for Designing Cybersecurity Serious Games
M. Gáliková, V. Švábenský, J. Vykopal | ACM SIGCSE
[bib]
[preprint]
[poster]
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[15] The Stack: Unplugged Activities for Teaching Computer Science
V. Švábenský, M. Ukrop | ACM SIGCSE
[bib]
[preprint]
[poster]
[materials]
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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
[bib]
[preprint]
[data and code] -
[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
[bib]
[preprint] -
[12] Teaching Lab: Training Novice Computer Science Teachers
M. Ukrop, V. Švábenský, I. Nagy | ACM ITiCSE
[bib]
[preprint]
[poster]
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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
[bib]
[preprint]
[slides]
[video]
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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
[bib]
[preprint]
[slides]
[code 1]
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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
[bib]
[preprint]
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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
[bib]
[preprint]
[materials]
[platform]
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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
[bib]
[preprint]
[slides]
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[6] 🚀 Reflective Diary for Professional Development of Novice Teachers
M. Ukrop, V. Švábenský, J. Nehyba | ACM SIGCSE
[bib]
[preprint]
[slides]
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[5] Towards Learning Analytics in Cybersecurity Capture the Flag Games
V. Švábenský, J. Vykopal, P. Čeleda | ACM SIGCSE
[bib]
[poster] -
[4] Analyzing User Interactions with Cybersecurity Games
V. Švábenský | ACM SIGCSE
[bib]
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[3] Gathering Insights from Teenagers' Hacking Experience with Authentic Cybersecurity Tools
V. Švábenský, J. Vykopal | IEEE FIE
[bib]
[preprint]
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[2] 🚀 Enhancing Cybersecurity Skills by Creating Serious Games
V. Švábenský, J. Vykopal, M. Čermák, M. Laštovička | ACM ITiCSE
[bib]
[preprint]
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[1] Challenges Arising from Prerequisite Testing in Cybersecurity Games
V. Švábenský, J. Vykopal | ACM SIGCSE
[bib]
[preprint]
[slides]
[data and code]