DEVELOPING AN AI-BASED KNOWLEDGE ASSESSMENT AND ANALYSIS SYSTEM FOR A DIGITAL LEARNING ENVIRONMENT
Abstract
This article explores the scientific and practical foundations of creating an artificial intelligence (AI)-based system for automatic assessment of students’ knowledge, formation of individualized learning paths, and analysis of the educational process within a digital learning environment. The study examines the psychological, pedagogical, and technological factors involved in developing models that identify knowledge levels based on students’ digital footprints. The paper also highlights the advantages, algorithmic mechanisms, motivational effects, and overall impact of AI-based assessment systems on improving educational quality.
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