Valdemar Svabensky
Profile
Introduction
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
Research
Learning Analytics, Educational Data Mining, Cybersecurity Education
Please see the web links above for the list of publications.
Publications
Journals (Peer-reviewed)
- 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)
- 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
- 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 (LAK 2025), 2025.03
BibTeX, Doi Foundation, Paper Information
- 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
- 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
- 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
- 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