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Ling, Charles X.; Marinov, Marin – Cognitive Science, 1994
Challenges Smolensky's theory that human intuitive/nonconscious cognitive processes can only be accurately explained in terms of subsymbolic computations in artificial neural networks. Symbolic learning models of two cognitive tasks involving nonconscious acquisition of information are presented: learning production rules and artificial finite…
Descriptors: Grammar, Intuition, Learning Processes, Mathematical Formulas
Resnick, Lauren B. – 1991
This paper proposes a theory that can account for differences between everyday and formal mathematics knowledge and a set of processes by which informal knowledge is transformed into formal mathematics. After an introduction, the paper is developed in five sections. The first section lays out the nature of informal, everyday mathematics knowledge.…
Descriptors: Addition, Early Experience, Elementary Education, Elementary School Mathematics
Mevorach, Miriam; Strauss, Sidney – 1995
The purpose of this study was to determine the nature of teachers' implicit in-action mental models about children's minds and learning, as inferred through the ways they teach. The work was based on the theoretical works of D. Schon, L. Shulman, and P. N. Johnson-Laird. Study participants included 24 student, novice, and experienced teachers. All…
Descriptors: Beginning Teachers, Children, Cognitive Development, Foreign Countries
Grauer, Stuart – 1985
Using current mind/brain research, this paper explores the "hidden curriculum" in the contexts of teaching, learning and supervision. It explains ways in which current research on the nature of learning can fit into today's typical, "clinical" teaching techniques. The importance of respecting individual modes of learning is stressed; further to…
Descriptors: Aptitude Treatment Interaction, Associative Learning, Brain, Cerebral Dominance