Comparative analysis of international practices in teaching programming to schoolchildren

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Abstract

Problem statement. Presents a comparative analysis of international practices in teaching programming to schoolchildren in the context of technologization of modern society. The purpose of the study is to identify the most effective practices in teaching programming based on a comprehensive analysis of international experience to assess the feasibility of their implementation in the Russian school education system. The study showed the experience of nine countries (Great Britain, Germany, China, Singapore, USA, Finland, Estonia, South Korea, Japan), selected as representative representatives of various educational systems and leaders of digital transformations of education in their regions. Methodology. Based on a comprehensive analysis, three main models of teaching programming were identified and classified: integrated, specialized and hybrid. A comparative analysis of international practices allowed for a comparative study of educational systems in various countries. The statistical analysis of performance indicators was based on the processing of quantitative data on student performance and the results of international studies . Results. The results of the study made it possible to formulate a scientifically based assessment of the feasibility of introducing international practices into the educational system, taking into account the age characteristics of students. Conclusion. It has been established that the most successful international educational systems are characterized by a balanced development of infrastructural, methodological and personnel components.

About the authors

Timur M. Bosenko

Moscow City University

Email: bosenkotm@mgpu.ru
ORCID iD: 0000-0002-5375-096X
SPIN-code: 7117-2458

Associate Professor of the Department of IT, Management and Technology, Institute of Digital Education

28 Sheremetyevskaya St, Moscow, 129594, Russian Federation

Albina R. Sadykova

Moscow City University

Author for correspondence.
Email: sadykovaar@mgpu.ru
ORCID iD: 0000-0002-1413-200X
SPIN-code: 7107-7576

Professor of the Department of Informatics, Management and Technology, Institute of Digital Education

28 Sheremetyevskaya St, Moscow, 129594, Russian Federation

Irina V. Levchenko

Moscow Pedagogical State University

Email: iv.levchenko@mpgu.su
ORCID iD: 0000-0002-1388-4269
SPIN-code: 8484-7769

Doctor of Pedagogical Sciences, Professor of the Department of Theory and Methods of Teaching Mathematics and Informatics, Institute of Mathematics and Informatics

14 Krasnoprudnaya St, bldg 1; Moscow, 107140, Russian Federation

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