Quantum-Informed Personalized Learning: A Novel Educational Classification Framework

Traditional personalized education systems are limited by deterministic models that ignore the uncertainty and complexity of learning. This research introduces the Quantum Educational Classification System (QECS), inspired by quantum mechanics principles such as superposition and entanglement. Implemented across 426 learners, QECS achieved a 46.8% improvement in learning efficiency over conventional systems. It enables adaptive, multidimensional learner modeling, fostering deeper conceptual integration and more responsive instruction. The results establish quantum cognition as a transformative framework for next-generation education technologies.