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Connelly, F. Michael – Journal of Curriculum Studies, 2013
The "Practical 1" paper combines Schwab's abiding concern, for the nature and quality of educational experience with another abiding concern, for how we think about what we do. The Practical 1 is the first of a set of four "practical" essays. These in turn are the product of his thinking about college education and his…
Descriptors: Criticism, Educational Philosophy, Educational Experience, Essays
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Laughbaum, Edward D. – MathAMATYC Educator, 2011
Basic brain function is not a mystery. Given that neuroscientists understand the brain's basic functioning processes, one wonders what their research suggests to teachers of developmental algebra. What if we knew how to teach so as to improve understanding of the algebra taught to developmental algebra students? What if we knew how the brain…
Descriptors: Pattern Recognition, Long Term Memory, Brain, Algebra
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Sims-Knight, Judith E. – Visible Language, 1992
Describes the habits of human reasoning that distort designers' abilities to intuit how users will understand and respond to graphics. Advocates two solutions: investigating scientifically how visuals communicate to viewers, and using user-based iterative design to explore user's reactions while developing design prototypes. (SR)
Descriptors: Cognitive Processes, Communication Research, Diagrams, Graphic Arts
La Brecque, Mort – Mosaic, 1984
To break the bottleneck inherent in today's linear computer architectures, parallel schemes (which allow computers to perform multiple tasks at one time) are being devised. Several of these schemes are described. Dataflow devices, parallel number-crunchers, programing languages, and a device based on a neurological model are among the areas…
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Science, Computers
Maranto, Gina – Discover, 1984
Discusses a theory suggesting that thoughts, feelings, dreams, and other workings of the mind are produced by chemical and electrical activity in the networks of nerve cells that make up the bulk of the brain. Opinions of a neuroscientist, anatomist, cognitive scientist, philosopher of science, and a biophysicist are provided. (BC)
Descriptors: Cognitive Processes, College Science, Higher Education, Knowledge Level
Friedman, Alinda; And Others – 1981
A model was tested in which it was assumed that the left and right cerebral hemispheres have access to independent supplies of resources, which they may use in most kinds of information processing situations. Eight male subjects were specifically selected for having demonstrated a strong right-hand superiority on several manual tasks, and a strong…
Descriptors: Attention, Cerebral Dominance, Cognitive Processes, Higher Education
Cromie, William J.; Edson, Lee – Mosaic, 1984
Intelligent relationships with people are among the goals for tomorrow's computers. Knowledge-based systems used and being developed to achieve these goals are discussed. Automatic learning, producing inferences, parallelism, program languages, friendly machines, computer vision, and biomodels are among the topics considered. (JN)
Descriptors: Artificial Intelligence, Bionics, Cognitive Processes, Computer Oriented Programs
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Knapp, Edward A. – Physics Today, 1984
Liberal arts graduates should be educated in these aspects of science: hypothesis and experimentation as the basis of scientific thought, problems of translating scientific thought into economic and social benefits, concepts of probability and uncertainty, and conflicts in scientific, technological, and public policy goals. (MSE)
Descriptors: Cognitive Processes, College Curriculum, College Science, Curriculum Development
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Sidtis, John J.; And Others – Science, 1981
Assesses the sensory and cognitive functions in a right-handed male before and after partial and complete callosal commissurotomy. (Author/SK)
Descriptors: Cognitive Processes, Componential Analysis, Higher Education, Memory
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Waldrop, M. Mitchell – Science, 1988
Traces the history and function of State, Operator, And Result (SOAR), a general-purpose artificial intelligence program for solving problems. The SOAR can "chunk" the result of a subgoal and learn from previous experiences. The SOAR could be applied to various expert systems. (YP)
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Psychology, College Science