GENERATIVE AI-BASED ADAPTIVE METHODOLOGY FOR INFORMATICS EDUCATION: RELIABILITY AND EDUCATIONAL EFFECTIVENESS ANALYSIS

Abstract

Artificial Intelligence (AI) technologies are rapidly transforming modern education, creating new opportunities for adaptive and differentiated learning. This study proposes a generative AI-based methodological framework for developing differentiated educational tasks in secondary school informatics education. The methodology integrates competency-based educational standards, conceptual curriculum node architecture (CCN), and natural language processing (NLP) technologies to automatically generate educational content aligned with students’ knowledge levels. The proposed framework was developed based on the state educational standards for Informatics and Information Technologies in Uzbekistan, particularly focusing on A2 and A2+ competency levels.

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