Psycholinguistic matrix of image formation: case study of educational network discourse

Abstract

The psycholinguistic matrix of image formation is a model that elucidates the intricate process of constructing mental images within the human mind. Comprising three integral components – perceptual, cognitive, and emotional – it provides a framework for comprehending how individuals interpret and react to the information presented in various forms, particularly within educational network discourse. In the context of educational network discourse, this matrix serves as an invaluable tool for understanding how people assimilate knowledge and navigate digital content. The psycholinguistic matrix of image formation proves particularly relevant in the development of effective digital educational materials. By understanding how individuals perceive, process, and emotionally connect with online content, it becomes possible to design learning resources that optimize comprehension, retention, and engagement. Practical applications include using images to enhance information reception, incorporating videos to facilitate comprehension, and integrating interactive elements to sustain interest and active participation within educational network discourse. Understanding this matrix offers profound insights into the learning processes occurring within the digital landscape. By leveraging this knowledge, we can harness the potential of technology and innovation to create more effective and engaging online learning experiences. The study addresses a significant gap in knowledge by exploring the psycholinguistic aspects of image creation within educational network discussions. The objective is to understand how digital images and text interact to influence learning, which represents a novel application of psycholinguistic analysis to educational materials. This investigation is important because it offers insights into optimizing digital educational platforms, an area with growing relevance in modern education