Radek Pelánek received his Ph.D. degree in Computer Science from Masaryk University for his work on formal verification. Since 2010 his research interests focus on areas of educational data mining and artificial intelligence in education. Currently, he is the leader of the Adaptive Learning group at Masaryk University and is interested in both theoretical research in user modeling and practical development of adaptive learning systems.
- Exploration of the Robustness and Generalizability of the Additive Factors Model
- Beyond Binary Correctness: Classification of Students’ Answers in Learning Systems
- Impact of methodological choices on the evaluation of student models
- Design and Analysis of Microworlds and Puzzles for Block-Based Programming