Schemas in Problem Solving explores a theory of schema development
and studies the applicability of the theory as a unified basis for
understanding learning, instruction and assessment. The theory's
prescriptions for teaching are direct, and its application to
assessment suggests new directions for tests. After examining the
roots of the theory in earlier work by philosophers and
psychologists, Marshall illustrates the main features of her theory
with experimental evidence from students who are learning to
recognize and solve arithmetic story problems. She describes
individual performance with traditional empirical studies as well
as computer simulation. The computer simulation reflects an
approach in modelling cognition. Marshall's model links neural
networks with symbolic systems to form a hybrid model that uses
pattern matching of sets of features as well as logical
step-by-step rules.
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