AUTOMATED SYSTEM FOR MONITORING AND EVALUATING DIGITAL WRITING SKILLS IN PRESCHOOLERS

Abstract

The paper presents an automated system for monitoring and evaluating digital writing skills in preschoolers, integrating methods of pedagogy, graphomotor trajectory analysis, and modern digital technologies. The system records parameters that reflect the quality and dynamics of writing, including spelling accuracy, execution time, pressing force, and line stability. An algorithm has been implemented that allows comparing user input with a reference sample, taking into account the type of instrument (stylus or finger). The functionality of generating reports for teachers and parents has been developed, including quantitative and qualitative indicators, progress charts and recommendations for correction. The conducted testing has shown that the use of the system contributes to a more accurate diagnosis of writing skills, timely identification of difficulties and selection of individual tasks. The introduction of the tool into the practice of preschool education ensures the personalization of learning and the formation of a digital environment for diagnosis and correction.