Developing visualization and visual analytics skills in informatics course

T. M. Shamsutdinova
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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.
在信息学课程中培养可视化和可视化分析技能
本文探讨了在信息学课程中培养数据可视化和可视化分析技能的理论和实践问题(包括使用图表构建分析模型、表格模型和可视化模型的例子)。本研究包括对在教育和科学活动过程中发展可视化和可视化分析技能问题的书目资料的回顾。它还包括可视化和可视化分析能力结构的开发。在研究过程中应用了建模方法(分析模型和图形模型)、可视化方法和数据系统化方法。特别是,可视化和视觉分析能力的组成部分,如分析,批判,抽象逻辑,视觉形象,空间形象,联想,系统,算法提出和分析。本文还探讨了在信息学课程中培养这种能力的方法。文章从可视化和可视化分析能力的形成两个方面对可视化分析中存在的问题进行了阐述和分析。该研究还提出了实验室实际工作的方法指导方针,旨在为巴什基尔国立农业大学经济学院的学生在信息学课程中教授图形分析技能。本文针对的是数据分析和可视化领域的广泛专家,包括IT教师、研究人员等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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