RNDr. Valdemar Švábenský, Ph.D.

2025

• Cybersecurity Study Programs: What's in a Name?

  VYKOPAL Jan ŠVÁBENSKÝ Valdemar LOPEZ II Michael T. ČELEDA Pavel

  Article in Proceedings

  Proceedings of the 56th ACM Technical Symposium on Computer Science Education, year: 2025

• Evaluating the Impact of Data Augmentation on Predictive Model Performance

  ŠVÁBENSKÝ Valdemar BORCHERS Conrad CLOUDE Elizabeth B. SHIMADA Atsushi

  Article in Proceedings

  Proceedings of the 15th Learning Analytics and Knowledge Conference (LAK '25), year: 2025

• Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance

  LEELALUK Sukrit TANG Cheng ŠVÁBENSKÝ Valdemar SHIMADA Atsushi

  Article in Proceedings

  Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing (SAC 2025), year: 2025

• LECTOR: Summarizing E-book Reading Content for Personalized Student Support

  LÓPEZ ZAPATA Erwin Daniel TANG Cheng ŠVÁBENSKÝ Valdemar OKUBO Fumiya SHIMADA Atsushi

  Article in Periodical

  International Journal of Artificial Intelligence in Education, year: 2025, DOI

• Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features

  YONEDA Shunsuke ŠVÁBENSKÝ Valdemar LI Gen DEGUCHI Daisuke SHIMADA Atsushi

  Article in Proceedings

  18th International Conference on Educational Data Mining (EDM 2025) [in press], year: 2025

• Single-Agent vs. Multi-Agent LLM Strategies for Reflection Assessment

  LI Gen CHEN Li TANG Cheng ŠVÁBENSKÝ Valdemar DEGUCHI Daisuke YAMASHITA Takayoshi SHIMADA Atsushi

  Article in Proceedings

  Proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, year: 2025

2024

• Comparison of Large Language Models for Generating Contextually Relevant Questions

  LODOVICO MOLINA Ivo ŠVÁBENSKÝ Valdemar MINEMATSU Tsubasa CHEN Li OKUBO Fumiya SHIMADA Atsushi

  Conference abstract

  Year: 2024, type: Conference abstract

• Comparison of Three Programming Error Measures for Explaining Variability in CS1 Grades

  ŠVÁBENSKÝ Valdemar PANKIEWICZ Maciej ZHANG Jiayi CLOUDE Elizabeth B. BAKER Ryan S. FOUH Eric

  Article in Proceedings

  Proceedings of the 29th Annual ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE'24), year: 2024

• Data Set Size Analysis for Detecting the Urgency of Discussion Forum Posts

  ŠVÁBENSKÝ Valdemar BOUCHET François TARRAZONA Francine LOPEZ II Michael BAKER Ryan S.

  Conference abstract

  Year: 2024, type: Conference abstract

• Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments

  ŠVÁBENSKÝ Valdemar TKÁČIK Kristián BIRDWELL Aubrey WEISS Richard BAKER Ryan S. ČELEDA Pavel VYKOPAL Jan MACHE Jens CHATTOPADHYAY Ankur

  Article in Proceedings

  Proceedings of the 54th IEEE Frontiers in Education Conference (FIE 2024), year: 2024