INTEGRATION OF ARTIFICIAL INTELLIGENCE IN STEAM EDUCATION: A DATA-DRIVEN FRAMEWORK FOR PRIMARY AND SECONDARY SCHOOLS

The integration of Artificial Intelligence (AI) into STEAM (Science, Technology, Engineering, Arts, and Mathematics) education represents a critical paradigm shift in modern pedagogy. This study presents an innovative approach for assessing the spatiotemporal dynamics of student engagement and learning outcomes when AI tools are embedded in project-based STEAM activities. By utilizing multi-criteria data-driven modeling and machine learning techniques, we evaluate how adaptive learning algorithms and AIdriven robotics enhance creative thinking and problem-solving skills. Traditional pedagogical evaluation methods are often static and limited in capturing real-time cognitive growth. The results of this study demonstrate that the proposed hybrid methodology provides reliable and efficient monitoring of the learning process. This approach supports informed decision-making in curriculum development and contributes to the establishment of sustainable, technologically advanced educational practices worldwide today.