The rapid advancement of technology has fundamentally transformed the landscape of education, giving rise to the field of Educational Augmentation Technology (EAT). At its core, EAT refers to the application of advanced technologies—such as artificial intelligence (AI), virtual reality (VR), augmented reality (AR), machine learning (ML), and adaptive learning platforms—to enhance teaching methodologies, personalize learning experiences, and bridge gaps in traditional educational systems. Unlike mere digitization or online content delivery, educational augmentation involves the dynamic integration of technology into the learning process to create more immersive, engaging, and efficient educational environments. The need for such augmentation stems from growing challenges in contemporary education, including disparities in access, learning pace variability, cognitive diversity, and evolving skill requirements in the 21st-century job market. Technologies under the umbrella of EAT can adapt content in real time based on a learner’s needs, provide multisensory learning through simulations, and enable continuous assessment and feedback. Moreover, EAT encourages a shift from a teacher-centric to a learner-centric paradigm, fostering autonomy, critical thinking, and creativity among students.