Tomáš Effenberger is a Ph.D. candidate in Computer Science at Masaryk University where he also received his master’s degree. After research internships at the University of Oxford and Google AI, he became a member of the Adaptive Learning group at Masaryk University. His mission is to make learning more efficient and engaging by advancing techniques for improving 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