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Schema-Based Learning



Schema-based learning is a central theoretical approach in cognitive and educational psychology as well as in artificial intelligence. Schemas allow learners to reason about unfamiliar learning situations and interpret these situations in terms of their generalized knowledge. In cognitive and educational psychology, schema-based learning is grounded in capturing and using expert-generated schemas as frameworks for teaching and learning. Schemas can be learned to promote the acquisition of new scientific knowledge and skills. At the core of this approach is a generalization and abstraction method designed to extract and condense as much information as possible from a single example of successful task completion or problem solving.

In the field of artificial intelligence, schema-based learning is conceived as a generalized framework for the design of integrated adaptive autonomous agents