Integration of Artificial Intelligence and Interdisciplinary Hybrid Models in Secondary Schools

The integration of artificial intelligence (AI) into the comprehensive school system requires the transformation of traditional teaching methods and adaptation to a dynamic educational environment. The paper examines the role of interdisciplinary hybrid models, specifically the AI-PBL (AI Problem Solving Learning) model, in developing students' critical thinking, logical reasoning, and problem-solving skills. The article presents the possibilities and challenges of integrating artificial intelligence (AI) technologies and interdisciplinary hybrid learning models in general education schools. The study is based on a mixed methodology and includes an empirical study conducted in 12 public and private schools with over 450 students (grades 5-12) and 95 teachers. The results showed that hybrid models using AI significantly increase student motivation to learn (by 38%), develop critical and creative thinking (by 44%), and increase the level of achievement of learning outcomes defined by the national curriculum (by 31%) compared to traditional teaching methods. The study highlights the critical importance of institutional readiness, digital infrastructure, teacher professional development, and an inclusive learning environment.