AI-BASED ANALYSIS AND AUTOMATED ASSESSMENT OF STUDENTS' LEARNING OUTCOMES

The rapid integration of Artificial Intelligence (AI) into the field of education has transformed traditional approaches to teaching, learning, and assessment. One of the most promising applications of AI is the analysis of students’ knowledge and the implementation of automated assessment systems. These technologies enable educators to evaluate learners’ performance more efficiently, objectively, and continuously. AI-driven tools can process large volumes of educational data, identify learning patterns, predict academic performance, and provide personalized feedback. This article explores the role of Artificial Intelligence in analyzing students’ learning outcomes and implementing automated assessment systems. It discusses the benefits, challenges, ethical considerations, and future potential of AI-assisted evaluation in educational settings. The study emphasizes how AI can enhance fairness, accuracy, and effectiveness in assessment while supporting teachers in data-driven decision-making.