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Valdemar Svabensky

Profile

Introduction

photo
Name Valdemar Svabensky
Name in kana ヴァルデマル・スヴァベンスキー
Academic degree Ph.D. (computer science)

Websites

Google Scholar https://scholar.google.com/citations?user=CSMVlf0AAAAJ&hl=en
GitHub https://github.com/valdemarsv/research
Personal website https://elea.sk/valdemar/

Research

Learning Analytics, Educational Data Mining, Cybersecurity Education

Please see the web links above for the list of publications.

Publications

Journals (Peer-reviewed)

  1. Erwin D. LOPEZ Z., Cheng TANG, Valdemar SVABENSKY, Fumiya OKUBO, Atsushi SHIMADA
    LECTOR: Summarizing E-book Reading Content for Personalized Student Support
    International Journal of Artificial Intelligence in Education, 2025.05
    BibTeX

International Conferences (Peer-reviewed)

  1. Mahiro Ozaki, Li Chen, Shotaro Naganuma, Valdemar Švábenský, Fumiya Okubo, Atsushi Shimada
    PALM: PAnoramic Learning Map Integrating Learning Analytics and Curriculum Map for Scalable Insights Across Courses
    2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2025), 2025.10
    arXiv preprint: https://arxiv.org/abs/2507.18393
    BibTeX
  2. Shunsuke Yoneda, Valdemar Švábenský, Gen Li, Daisuke Deguchi, Atsushi Shimada
    Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features
    18th International Conference on Educational Data Mining, 2025.07
    BibTeX
  3. Gen LI, Li CHEN, Cheng TANG, Valdemar SVABENSKY, Daisuke DEGUCHI, Takayoshi YAMASHITA, Atsushi SHIMADA
    Single-Agent vs. Multi-Agent LLM Strategies for Automated Student Reflection Assessment
    The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2025), 2025.06
    BibTeX
  4. Sukrit Leelaluk, Cheng Tang, Valdemar Švábenský, , Atsushi Shimada
    Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance
    In The 40th ACM/SIGAPP Symposium on Applied Computing (SAC '25), 2025.03
    BibTeX, Doi Foundation, Paper Information
  5. Valdemar Švábenský, Conrad Borchers, Elizabeth B. Cloude, Atsushi Shimada
    Evaluating the Impact of Data Augmentation on Predictive Model Performance
    The 15th International Learning Analytics and Knowledge Conference (LAK25), 2025.03
    BibTeX, Doi Foundation, Paper Information
  6. Jan Vykopal, Valdemar Švábenský, Michael Tuscano Lopez II, Pavel Čeleda
    Cybersecurity Study Programs: What's in a Name?
    Proceedings of the 56th ACM Technical Symposium on Computer Science Education (Association for Computing Machinery), Vol.25, p.7, 2025.02
    BibTeX
  7. Ivo Lodovico Molina, Valdemar Svabensky, Tsubasa Minematsu, Li Chen, Fumiya Okubo, Atsushi Shimada
    Comparison of Large Language Models for Generating Contextually Relevant Questions
    Technology Enhanced Learning for Inclusive and Equitable Quality Education (EC-TEL 2024), Vol.15160, No.2, pp.137–143, 2024.09
    BibTeX
  8. Svabensky Valdemar, Melina Verger, Maria Mercedes T. Rodrigo, Clarence James G. Monterozo, Ryan S. Baker, Miguel Zenon Nicanor Lerias Saavedra, Sebastien Lalle, Atsushi Shimada
    Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students
    The 17th International Conference on Educational Data Mining (EDM2024), 2024.07
    BibTeX
  9. Yuma Miyazaki, Svabensky Valdemar, Yuta Taniguchi, Fumiya Okubo, Tsubasa Minematsu, Atsushi Shimada
    E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems
    The 17th International Conference on Educational Data Mining (EDM2024), 2024.07
    BibTeX