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Developing visualization and visual analytics skills in informatics course

https://doi.org/10.32517/0234-0453-2023-38-3-16-23

Abstract

The article explores theoretical and practical issues of developing skills in data visualization and visual analytics in informatics course (including examples of constructing analytical, tabular and visual models using diagrams).
This study includes a review of bibliographic sources on the problems of developing visualization and visual analytics skills in the course of educational and scientific activities. It also includes development of a visualization and visual analysis competency structure. In the course of the study were applied methods of modeling (analytical and graphical models), methods of visualization and data systematization. In particular, such components of the competency of visualization and visual analysis as analytical, critical, abstract-logical, visual-figurative, spatial-figurative, associative, systemic, algorithmic were proposed and analyzed. The methods of forming this competency in the course of informatics were also considered.
The article not only describes but also analyzes the problems, connected with formation of visualization and visual analysis competency. The study also presents methodological guidelines for the laboratory practical work, developed to teach the skills of graphic analytics in the informatics course, intended for students of the Faculty of Economics of the Bashkir State Agrarian University.
The article is aimed at a wide range of specialists in the field of data analytics and visualization, including IT teachers, researchers, etc.

About the Author

T. M. Shamsutdinova
Bashkir State Agrarian University
Russian Federation

Tatiana M. Shamsutdinova, Candidate of Sciences (Physics and Mathematics), Docent, Associate Professor at the Department of Digital Technologies and Applied Informatics, Faculty of Economics

Ufa



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For citations:


Shamsutdinova T.M. Developing visualization and visual analytics skills in informatics course. Informatics and education. 2023;38(3):16-23. (In Russ.) https://doi.org/10.32517/0234-0453-2023-38-3-16-23

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ISSN 0234-0453 (Print)
ISSN 2658-7769 (Online)