Shahroud University of Medical siences Shahroud Journal of Medical Sciences 2423-6594 12 5 2026 08 29 Global Education Without Human Teachers: The Realization of Teaching Machines in AI-Driven Virtual Classrooms 60 61 eng Haniye Mastour School of Medical Education and Learning Technologies, Shahid Beheshti University of Medical Sciences, Tehran, Iran.. haniye.mastour@gmail.com Raheleh Ghouchan Nezhad Noor Nia Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.. rghoochannejad@gmail.com Saeid Eslami Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; 3 Pharmaceutical Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.. S.Eslami.H@gmail.com 2025 07 07 2026 05 26 In recent years, the emergence of generative artificial intelligence (AI) platforms, such as ChatGPT, has ignited fervent discourse over the future of education (1). As we witness this technological evolution, it becomes increasingly evident that traditional classroom teaching is on the brink of obsolescence, as AI-driven learning experiences take center stage. Artificial intelligence (AI) and machine learning (ML) have the potential to replicate and enhance the capabilities of human educators in the future of global education (2). Advanced machine learning algorithms enable AI systems to analyze large datasets of student behaviors, learning trajectories, and performance metrics to accurately identify knowledge gaps (3). These systems can dynamically generate customized lesson plans, simulate interactive and immersive learning environments, and predict future learning challenges to enable proactive educational interventions (4).