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ТЕХНОЛОГИЯ АНАЛИЗА И ВИЗУАЛИЗАЦИИ МНОГОМЕРНЫХ ДАННЫХ ПЕДАГОГИЧЕСКОГО МОНИТОРИНГА В ВЫСШЕМ ОБРАЗОВАНИИ

THE TECHNOLOGIES FOR ANALYSIS AND VISUALIZATION OF THE MULTIDIMENSIONAL PEDAGOGICAL MONITORING DATA IN HIGHER EDUCATION
Authors: Ovsyanitskaya, L.Yu.; Nikitina, E.Yu.; Lysenko, Yu.V.; Podpovetnaya, Yu.V.; Postovalova, I.P.; Ovsyanitskiy, A.D.;

ТЕХНОЛОГИЯ АНАЛИЗА И ВИЗУАЛИЗАЦИИ МНОГОМЕРНЫХ ДАННЫХ ПЕДАГОГИЧЕСКОГО МОНИТОРИНГА В ВЫСШЕМ ОБРАЗОВАНИИ

Abstract

Актуальность проблемы создания технологии анализа и визуализации многомерных данных педагогического мониторинга обусловлена необходимостью адаптации высшего образования к условиям цифровой трансформации общества. Концепция цифровой экономики предусматривает сквозную цифровизацию всех институтов и структур общества и их интеграцию в единую экосистему. В работе показано, что образование является одним из важнейших институтов общества, в котором возникают изменения или цифровые трансформации. Рассмотрена цифровая трансформация в образовании как способ адаптации отрасли к стремительно меняющимся условиям. Доказано, что для того чтобы готовить конкурентоспособных специалистов в различных областях экономики, педагогические технологии также должны изменяться, и в процесс образования должны быть внедрены существующие цифровые технологии. В статье представлен разработанный авторами алгоритм анализа и визуализации большого массива количественных и качественных данных педагогического мониторинга с возможностью построения прогнозных моделей. Ведущими методами к исследованию проблемы являются методы включенного наблюдения, педагогического эксперимента и методы математической статистики. Результатом работы является технология, позволяющая педагогу позволит обрабатывать разнородные данные педагогического мониторинга и визуализировать их в удобном для пользователей виде. Полученные результаты способствуют принятию решений и реализации оптимального педагогического управления. Сочетание технологии с возможностями вычислительной техники и современных средств коммуникации позволяет успешно применять её в рамках проведения массовых on-line курсов. Материалы статьи могут быть полезны преподавателям высших учебных заведений. The relevance of such a problem as creating the technologies for the analysis and visualization of multidimensional pedagogical monitoring data is determined by the need to adapt higher education to the conditions of digital transformation of society. The concept of digital economy provides for the cross-cutting digitalization of all the institutions and structures of society and their integration into a single ecosystem. The paper shows that education is one of the most important institutions of society in which there are changes or digital transformations. A digital transformation in education is considered as a way of adapting the industry to rapidly changing conditions. It is proved that in order to train the competitive specialists in various fields of the economy, the pedagogical technologies also need to change and the existing digital technologies must be introduced into the education process. The article presents an algorithm developed by the authors for analyzing and visualizing a big array of quantitative and qualitative pedagogical monitoring data with the possibility of constructing forecast models. The leading methods for investigating the problem are methods of included observation, pedagogical experiment and methods of mathematical statistics. The result of the work is a technology that allows the teacher to process heterogeneous pedagogical monitoring data and visualize them in a user-friendly form. The results are the results of the optimal pedagogical management. The result of the work is the created technology that allows the teacher to make a decision and realize the optimal pedagogical management. The combination of technology with the capabilities of computers and communications technologies makes it possible to successfully apply it in the framework of conducting mass on-line courses. The materials of the article can be useful for teachers of higher educational institutions.

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Keywords

Цифровая трансформация, визуализация, data analysis, pedagogical monitoring, педагогический мониторинг, Digital transformation, OLAP-technologies, анализ данных, OLAP-технологии, visualization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold