Designing Learning Practices Based on the Multi-Agent Approach

Modern educational systems are complex adaptive economic systems, and working with models of such systems allows students to better understand economic relationships and dependencies. In recent years, the framework of complex adaptive systems has been actively used to analyze pedagogical situations. Through the prism of complex adaptive systems framework one can analyzeurban education systems, including a multitude of educational institutions interacting with each other and with the local community, where complex interactions between political decisions, funding, and educational outcomes are observed. This paper examines the transfer of skills in designing multi-agent models to the design of pedagogical practices. The study was carried out on the basis of Semantic MediaWiki, which made it possible to combine various programming environments (Snap!, NetLogo, StarLogo Nova, GAMA), models, datasets, and student works. A model of students choosing schools that differ in geographical location, tuition costs, student achievement levels, maximum capacity, and availability of public information is considered.