The project expands the possibilities for interacting with the Dynamic Labyrinths construction kit. By recognizing the constructor board and the parts placed on it, a photo of a real-world assembly can be converted into a detailed digital model for further analysis. In the future, the project aims to explore the computability and semantics of user-assembled constructions, along with their verification and validation in relation to specific tasks. This image recognition approach, combined with automated analysis, opens up new opportunities for high-quality learning and teacher-led assessment, as well as enabling students to independently evaluate their work during the study of automata theory.
Prof. Dr. Inge Schwank and Dr. Tetiana Zhylenko – from University of Cologne
Dr. Taras Panchenko, Dr. Liudmyla Omelchuk, and Dr. Yaroslav Tereshchenko – mentors
Viktoriia Granadzer and Margarita Baklan – students
from Taras Shevchenko National University of Kyiv
