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Stamovlasis, Dimitrios; Tsaparlis, Georgios – Science Education, 2012
In this study, we test an information-processing model (IPM) of problem solving in science education, namely the working memory overload model, by applying catastrophe theory. Changes in students' achievement were modeled as discontinuities within a cusp catastrophe model, where working memory capacity was implemented as asymmetry and the degree…
Descriptors: Predictor Variables, High School Students, Logical Thinking, Science Education
Ash, Ivan K.; Cushen, Patrick J.; Wiley, Jennifer – Journal of Problem Solving, 2009
In the present article, we articulate three assumptions underlying theories proposing that restructuring processes play a key role in insightful problem solving: representational difficulty, representational change, and discontinuity in solution processes. We argue that these assumptions need empirical validation to justify the proposition of…
Descriptors: Cognitive Restructuring, Cognitive Processes, Intuition, Problem Solving
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Carter, Michael – College English, 1988
Expands the notion of problem by creating a pluralistic theory of problems that embraces both the limited concept created by the information-processing school and an epistemic concept of problem. (JAD)
Descriptors: Cognitive Psychology, Definitions, Epistemology, Information Processing
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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