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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
Peer reviewedRoth, Wolff-Michael – School Science and Mathematics, 1990
Examines the relationship of the amount of available short-term memory with the complexity of tasks the subjects mastered. Presents some hints for a better design of instruction. (YP)
Descriptors: College Science, Higher Education, Information Processing, Instructional Design
Peer reviewedLarkin, Jill – American Journal of Physics, 1981
Experienced Physicists solve simple textbook problems differently from beginning students. This paper describes these differences using a computer-implemented model that "learns." The research is set in the the context of modern computer-processing psychology, and is related to other work relevant to help people know and learn…
Descriptors: Cognitive Processes, College Faculty, College Science, College Students
Peer reviewedBerger, Carl F.; Pintrich, Paul R. – Journal of Research in Science Teaching, 1986
Uses two studies to examine developmental and task effects in estimation problems. Results are discussed in terms of student and task characteristics and the implications of such variables on information processing model of learning. Implications for science teaching, learning problem diagnostics, and science curricula are also discussed. (TW)
Descriptors: Elementary Education, Elementary School Science, Estimation (Mathematics), Feedback

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