Transfer of agent-based modelling skills to educational practice

Introduction. In contemporary education, pedagogy is actively adapting to new fields of knowledge, leading to the formation of signature pedagogies for professions that require distinct thinking and competencies. The advancement of computing technology shifts the classification of educational practices from a theoretical framework to practical implementation, which is particularly significant for students in pedagogical universities. Taxonomies of educational practices today hold practical value as they enable the integration of various professional pedagogies and organizational methods developed across different scientific domains into a cohesive operational system.

Materials and methods. In constructing the fractal matrix, the methodological approach of S.V. Chebanov was employed, which involves forming two interrelated axes from homogeneous categories. These axes, represented by spheres of activity (didactics, engineering, computer science, modeling) and thinking approaches (didactic, engineering, computational, modeling), are arranged orthogonally to create a square table. The developed ontology of relationships is applied for the collection and systematization of educational practices on Semantic MediaWiki, enabling the integration of diverse content and accounting for the semantic differences among objects.

Results. The application of a didactic approach to engineering, computer science, and modeling fosters signature pedagogies aimed at developing engineering, computational, and modeling thinking. The engineering approach to pedagogy involves the use of engineering methods in the educational process, while in computational activities, this is manifested through the application of languages for creating scenario diagrams of educational practices. Special attention is given to the interaction between didactics and modeling, forming a model-based didactics that utilizes multi-agent modeling for designing educational practices, enabling students in teacher training institutions to effectively design and analyze educational practices.

Discussion and conclusions. The proposed framework in the form of a fractal matrix allows for the identification of promising research directions at the intersection of various disciplines, opening new opportunities for educational practices. The study emphasizes how didactics can borrow elements from other fields to develop effective curricula and shape key components of engineering, computational, and modeling thinking.

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