Выращивание данных для школьных виртуальных лабораторий
The paper discusses various data sources that can be used in teaching school subjects and developing statistical, quantitative, computational and research literacy. The focus of our research is data farming in multi-agent environments and its further statistical analysis. As a successful example of binding environments, cases of data farming in Netlogo and statistical analysis in R are reviewed. The use of generative approach allows students to manipulate with data, produced by agents, operated by them, and assume the position of a researcher who plans his own experiments and analyses their results.