THE TECHNOLOGIES FOR ANALYSIS AND VISUALIZATION OF THE MULTIDIMENSIONAL PEDAGOGICAL MONITORING DATA IN HIGHER EDUCATION

Abstract

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.

Author Biographies

Лариса Юрьевна Овсяницкая, Financial University under the Government of the Russian Federation

Сandidate of  Technical Sciences, Associate Professor, Associate Professor of the Department Mathematics and Computer Sciences, Chelyabinsk Branch  

Елена Юрьевна Никитина, South-Ural State Humanitarian Pedagogical University

Doctor of Pedagogical Sciences, Professor, Professor of the Department Russian Language, Literature and Methods of Teaching Russian Language and Literature

Юлия Валентиновна Лысенко, Financial University under the Government of the Russian Federation

Doctor of Economic Sciences, Professor, Chair of Economics and Finance, Chelyabinsk Branch

Юлия Валерьевна Подповетная, Financial University under the Government of the Russian Federation

Doctor of Pedagogy Sciences, Associate Professor, Head of the Department Mathematics and Computer Sciences, Chelyabinsk Branch

Ирина Павловна Постовалова, Financial University under the Government of the Russian Federation

Associate Professor, Associate Professor of the Department Mathematics and Computer Sciences, Chelyabinsk Branch

Алексей Дмитриевич Овсяницкий, South Ural State University (National Research University)

student of the Higher School of Electronics and Computer Science

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Published
2018-12-10
How to Cite
ОВСЯНИЦКАЯ, Лариса Юрьевна et al. THE TECHNOLOGIES FOR ANALYSIS AND VISUALIZATION OF THE MULTIDIMENSIONAL PEDAGOGICAL MONITORING DATA IN HIGHER EDUCATION. Modern Information Technologies and IT-Education, [S.l.], v. 14, n. 4, p. 793-802, dec. 2018. ISSN 2411-1473. Available at: <http://sitito.cs.msu.ru/index.php/SITITO/article/view/446>. Date accessed: 03 july 2024. doi: https://doi.org/10.25559/SITITO.14.201804.793-802.
Section
IT education: methodology, methodological support