RNDr. Valdemar Švábenský, Ph.D.

2026

• Assessment in Team Problem-Solving Exercises in Computing Education

  ŠVÁBENSKÝ Valdemar VYKOPAL Jan LEELALUK Sukrit ČELEDA Pavel OKUBO Fumiya SHIMADA Atsushi

  Paper in proceedings

  Proceedings of the 56th IEEE Frontiers in Education Conference (FIE 2026), year: 2026

• Fifteen Years of Learning Analytics Research: Topics, Trends, and Challenges

  ŠVÁBENSKÝ Valdemar BORCHERS Conrad FORTUNA Elvin CLOUDE Elizabeth B. GAŠEVIĆ Dragan

  Paper in proceedings

  Proceedings of the 16th Learning Analytics and Knowledge Conference (LAK '26), year: 2026, DOI

• Long-term Effects of Promoting Communication and Soft Skills in Higher Computing Education

  MOTSCHNIG Renate DOLEZAL Dominik ŠVÁBENSKÝ Valdemar PALUBOVÁ Katarína SILBER Michael

  Peer-reviewed scientific article

  ACM Transactions on Computing Education, year: 2026, DOI

• Measuring the Impact of Student Gaming Behaviors on Learner Modeling

  LIU Qinyi LI Lin ŠVÁBENSKÝ Valdemar BORCHERS Conrad KHALIL Mohammad

  Paper in proceedings

  Proceedings of the 16th Learning Analytics and Knowledge Conference (LAK '26), year: 2026, DOI

• Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?

  BORCHERS Conrad ŠVÁBENSKÝ Valdemar KAFLE Sandesh Kumar TANG Kevin K. VYKOPAL Jan

  Paper in proceedings

  27th International Conference on Artificial Intelligence in Education (AIED 2026), year: 2026, DOI

• Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE

  ŠVÁBENSKÝ Valdemar FLANAGAN Brendan LÓPEZ ZAPATA Erwin Daniel SHIMADA Atsushi

  Peer-reviewed scientific article

  ACM Transactions on Knowledge Discovery from Data, year: 2026, DOI

• Technology-Enhanced Tabletop Exercises for Cybersecurity Education: Lessons Learned

  VYKOPAL Jan ČELEDA Pavel HORÁK Martin ŠVÁBENSKÝ Valdemar

  Paper in proceedings

  Proceedings of the 56th IEEE Frontiers in Education Conference (FIE 2026), year: 2026

2025

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

  VYKOPAL Jan ŠVÁBENSKÝ Valdemar LOPEZ II Michael T. ČELEDA Pavel

  Paper in proceedings

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

• Evaluating the Impact of Data Augmentation on Predictive Model Performance

  ŠVÁBENSKÝ Valdemar BORCHERS Conrad CLOUDE Elizabeth B. SHIMADA Atsushi

  Paper in proceedings

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

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

  LEELALUK Sukrit TANG Cheng ŠVÁBENSKÝ Valdemar SHIMADA Atsushi

  Paper in proceedings

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