Structural learning is a cognitive approach that emphasizes understanding underlying rules and patterns rather than memorizing isolated facts. It is used in education and AI to build adaptable problem-solving skills by organizing knowledge into hierarchical frameworks. Learners—from students mastering math to professionals acquiring complex technical skills—benefit from accelerated comprehension, improved retention, and the ability to transfer knowledge to new, unfamiliar situations.
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