ABSTRACT
The integration of Artificial Intelligence (AI) and robotics into education signals a shift from traditional instruction to simulation-based, experiential learning. This research explores how AI-driven simulations, virtual labs, and robotics can create personalized, adaptive learning pathways. These technologies bridge the gap between theoretical knowledge and practical application by allowing students to engage with complex concepts in safe, interactive environments. While the potential for democratizing education is significant, widespread adoption is hindered by high costs, data privacy concerns, and the need to maintain human interaction. This study calls for collaborative frameworks and educator training to harness these technologies ethically and effectively, preparing learners for a high-tech world.
