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Представлены результаты исследования анализа данных педагогами и их руководителями в условиях цифровой образовательной среды (ЦОС). Планирование исследования базировалось на авторской трактовке пилотного эксперимента по внедрению цифровой образовательной среды в регионах России, архитектуры данных цифровых образовательных платформ, эволюции поколений киберсемиотических систем аналитики данных и проблемы аналитики данных на цифровых образовательных платформах. Сама трактовка была определена концепцией кибернетики второго порядка. В статье проведено разграничение концептуальных пределов применимости киберсемиотики и постнеклассической семиотики для методологии моделирования массового и элитного образования. Это разграничение позволило акцентировать прагматическую функцию семиотики для анализа визуализированных данных ЦОС. Проведенное исследование зафиксировало дефициты в семиотических компетенциях педагогов для анализа данных при проектировании персонализированного образования и разработки педагогического дизайна конвергентно организованного образовательного контента. The article deals with the problem of cybersemiotics of the analysis of educational data and human development data in digital educational environments. In the context of the formation of anthropological ideas about the learner as a subject of activity and the implementation of project-oriented education, the cybernetics of digital educational platforms remains in the logic of “didactics of object learning” and does not sufficiently contribute to the logic of “didactics of the development of the subject of cognition and activity”. The cybernetics of digital educational environments determines the cybersemiotics of educational data analysis: the pedagogical meaning and pedagogical tasks of development are often constructed in distorted optics in relation to a developing person. In the conditions of digital educational platforms and data analytics in digital environments as special cybersemiotic systems, a request is being formed for conceptual approaches that allow social research, technological programming, and pedagogical design of developing, learning environments. The aim of the research presented in the article is to study the semiosis of the analysis of educational data and data on human development in digital educational environments. The research was carried out in two aspects: the technological aspect – the study of digital artificial intelligence (AI) services on educational platforms of Russian education; the pedagogical aspect – the study of data competencies of teachers in working with the semiotics of data analysis in education. The article reveals how cybersemiotic AI systems of digital educational platforms (these systems are based on the concept of the pragmatic function in visual semiotics semiotics) become the object of management, the object of pedagogical analysis, the object of technological development in the design of digital artificial intelligence services of digital educational platforms, and the object of procurement for the development of digital educational environments. The study is significant for the development of the theory and practice of digital didactics and the methodology of cybersemiotics of digital educational environments. The prospects of the research are the development of a conceptual adjustment of cybersemiotic systems of AI services for data analysis in the context of the National Data Management System development.
Представлены результаты исследования анализа данных педагогами и их руководителями в условиях цифровой образовательной среды (ЦОС). Планирование исследования базировалось на авторской трактовке пилотного эксперимента по внедрению цифровой образовательной среды в регионах России, архитектуры данных цифровых образовательных платформ, эволюции поколений киберсемиотических систем аналитики данных и проблемы аналитики данных на цифровых образовательных платформах. Сама трактовка была определена концепцией кибернетики второго порядка. В статье проведено разграничение концептуальных пределов применимости киберсемиотики и постнеклассической семиотики для методологии моделирования массового и элитного образования. Это разграничение позволило акцентировать прагматическую функцию семиотики для анализа визуализированных данных ЦОС. Проведенное исследование зафиксировало дефициты в семиотических компетенциях педагогов для анализа данных при проектировании персонализированного образования и разработки педагогического дизайна конвергентно организованного образовательного контента. The article deals with the problem of cybersemiotics of the analysis of educational data and human development data in digital educational environments. In the context of the formation of anthropological ideas about the learner as a subject of activity and the implementation of project-oriented education, the cybernetics of digital educational platforms remains in the logic of “didactics of object learning” and does not sufficiently contribute to the logic of “didactics of the development of the subject of cognition and activity”. The cybernetics of digital educational environments determines the cybersemiotics of educational data analysis: the pedagogical meaning and pedagogical tasks of development are often constructed in distorted optics in relation to a developing person. In the conditions of digital educational platforms and data analytics in digital environments as special cybersemiotic systems, a request is being formed for conceptual approaches that allow social research, technological programming, and pedagogical design of developing, learning environments. The aim of the research presented in the article is to study the semiosis of the analysis of educational data and data on human development in digital educational environments. The research was carried out in two aspects: the technological aspect – the study of digital artificial intelligence (AI) services on educational platforms of Russian education; the pedagogical aspect – the study of data competencies of teachers in working with the semiotics of data analysis in education. The article reveals how cybersemiotic AI systems of digital educational platforms (these systems are based on the concept of the pragmatic function in visual semiotics semiotics) become the object of management, the object of pedagogical analysis, the object of technological development in the design of digital artificial intelligence services of digital educational platforms, and the object of procurement for the development of digital educational environments. The study is significant for the development of the theory and practice of digital didactics and the methodology of cybersemiotics of digital educational environments. The prospects of the research are the development of a conceptual adjustment of cybersemiotic systems of AI services for data analysis in the context of the National Data Management System development.
Mastering digital skills is one of the requirements of the modern world. Digital skills are usually divided into professional and user skills. Professional skills are formed in the systems of secondary, higher, and additional vocational education. User skills can be mastered in the system of general education. The boundaries between professional and user digital skills are increasingly blurred, and, therefore, it is necessary to rethink the requirements for the results of professional and general education in terms of the formation of digital skills.The material of the described study were the results of an independent assessment of digital skills of 8th grade students commissioned by the Department of Education of the Perm City Administration. The content of the independent assessment was designed considering modern international studies on the quality of education as well as primary idea that the digital literacy of each user promotes the building of a conscientious, fair, and secure digital community. The article has been prepared as an interdisciplinary publication that integrates aspects of general and professional pedagogy, methods of teaching mathematics and informatics, and the technical aspect of using software for processing large amounts of data.The study revealed new opportunities for the formation and assessment of digital skills of students of general educational organizations and, as a consequence, formulated recommendations for the training of teachers of mathematics and informatics both in terms of the disciplines content and teaching methods.
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