ARTIFICIAL INTELLIGENCE-BASED ADAPTIVE AND AUTOMATED EVALUATION SYSTEMS

Abstract

This study explores the scientific and theoretical foundations of analyzing and ranking students’ knowledge, skills, and learning activities through an adaptive and automated assessment system based on artificial intelligence technologies. The research develops an intelligent assessment model using machine learning, natural language processing, and data analytics technologies. The system dynamically adjusts evaluation criteria according to each student’s individual learning progress. As a result, the objectivity, accuracy, and efficiency of the assessment process are enhanced. The findings of the study provide practical outcomes as a significant direction of digital transformation in education.