THE TECHNOLOGIES FOR ANALYSIS AND VISUALIZATION OF THE MULTIDIMENSIONAL PEDAGOGICAL MONITORING DATA IN HIGHER EDUCATION
Journal Title: Современные информационные технологии и ИТ-образование - Year 2018, Vol 14, Issue 4
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.
Authors and Affiliations
Larisa Ovsyanitskaya, Elena Nikitina, Yuliya Lysenko, Yulia Podpovetnaya, Irina Postovalova, Alexey Ovsyanitskiy
Keywords
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- EP ID EP518460
- DOI 10.25559/SITITO.14.201804.793-802
- Views 94
- Downloads 0
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