Use of computer visualization tools in education: generalization of existing practices

Abstract

Problem statement. Modern education is undergoing significant transformations associated with integrating digital technologies, among which computer visualization tools occupy a special place. They play a key role in improving the quality of learning, contributing to a better assimilation of complex concepts through the visual presentation of information. However, despite the widespread use of these technologies, there is a dearth of generalized data on their effectiveness, optimal use cases, and potential limitations. The purpose of this article is to review and summarize the existing practices of using computer visualization tools in education. Materials and methods. We used the following methods of scientific cognition: analysis and synthesis to analyze individual aspects of computer visualization, comparative study to compare the effectiveness of different visualization tools in education, classification to group computer visualization tools, systematic review to identify already existing results of the efficacy of visualization, descriptive analysis to record existing practices. Results. The article defines the directions for implementing computer visualization, particularly scientific, software, and information visualization. Practices for using program visualization tools, mathematical and scientific visualization tools, data visualization tools, and augmented and virtual reality have been identified. The generalization of scientific content was evidenced by visualization in various subject areas: STEM education, computer modeling, and programming education. Some studies confirm the effectiveness of visualization tools in education, particularly the positive impact on learning outcomes, interest and motivation, cognitive processing, and understanding of the material. Conclusions. Positive impacts highlight the potential of visualization tools for STEM education. The development and implementation of new disciplines focused on visualization are being actualized. The development of visualization tools that adapt to individual needs and learning styles is a promising area of research on personalization and adaptive approaches in education.