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
Google Scholar	1150	17	CSMVlf0AAAAJ
Scopus	584	14	57215670820
Web of Science	390	10	GPG-1431-2022

• Other academic profiles: ORCID, ArXiv, Semantic Scholar, DBLP, Zenodo, MUNI
• Professional social networks: ResearchGate, Academia, LinkedIn, Twitter

Published peer-reviewed papers

• 47 publications total — 23x leading author, published with 73 distinct co-authors
  • 10 journal papers in international WoS-indexed journals
  • 29 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.bib to cite.

• 🏆	⭐	🚀
  Best Paper Award	Featured	Highly cited	Open access

2026

• [47] ⭐ (in press) Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE
  V. Švábenský, B. Flanagan, E. López, A. Shimada | 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] (in press) Long-term Effects of Promoting Communication and Soft Skills in Higher Computing Education
  R. Motschnig, D. Dolezal, V. Švábenský, K. Palubová, M. Silber | TOCE
    [bib]

2025

• [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]

2024

• [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] [platform 2]

• [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]

2023

• [28] 🏆 Towards Generalizable Detection of Urgency of Discussion Forum Posts
  V. Švábenský, R. Baker, A. Zambrano, Y. Zou, S. Slater | EDM
    [bib] [preprint] [slides] [data and code]

• [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]

2022

• [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] [platform]

• [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] [platform 2]

• [21] 🏆 Preventing Cheating in Hands-on Lab Assignments
  J. Vykopal, V. Švábenský, P. Seda, P. Čeleda | ACM SIGCSE
    [bib] [preprint] [slides] [code] [platform]

2021

• [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] [platform 2]

• [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] [platform 2] [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] [platform]

• [16] Toward Guidelines for Designing Cybersecurity Serious Games
  M. Gáliková, V. Švábenský, J. Vykopal | ACM SIGCSE
    [bib] [preprint] [poster] [materials]

• [15] The Stack: Unplugged Activities for Teaching Computer Science
  V. Švábenský, M. Ukrop | ACM SIGCSE
    [bib] [preprint] [poster] [materials]

2020

• [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] [course]

• [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] [data]

• [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] [code 2]

• [9] KYPO4INDUSTRY: A Testbed for Teaching Cybersecurity of Industrial Control Systems
  P. Čeleda, J. Vykopal, V. Švábenský, K. Slavíček | ACM SIGCSE
    [bib] [preprint] [slides]

• [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]

2019

• [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] [demo]

• [6] 🚀 Reflective Diary for Professional Development of Novice Teachers
  M. Ukrop, V. Švábenský, J. Nehyba | ACM SIGCSE
    [bib] [preprint] [slides] [diary]

• [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]

2018

• [3] Gathering Insights from Teenagers' Hacking Experience with Authentic Cybersecurity Tools
  V. Švábenský, J. Vykopal | IEEE FIE
    [bib] [preprint] [slides]

• [2] 🚀 Enhancing Cybersecurity Skills by Creating Serious Games
  V. Švábenský, J. Vykopal, M. Čermák, M. Laštovička | ACM ITiCSE
    [bib] [preprint] [slides] [materials]

• [1] Challenges Arising from Prerequisite Testing in Cybersecurity Games
  V. Švábenský, J. Vykopal | ACM SIGCSE
    [bib] [preprint] [slides] [data and code]