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Ragonis, Noa; Hazzan, Orit – Journal of Computers in Mathematics and Science Teaching, 2009
This paper offers a tutoring model its objective is to develop and establish the pedagogical-disciplinary knowledge of prospective computer science teachers with respect to guiding learners in problem-solving processes. The paper presents the tutoring model and the research that accompanied its implementation. The research findings indicate that…
Descriptors: Problem Solving, Tutoring, Models, Pedagogical Content Knowledge
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Wouters, Pieter; Paas, Fred; van Merrienboer, Jeroen J. G. – Review of Educational Research, 2008
Animated models explicate the procedure to solve a problem, as well as the rationale behind this procedure. For abstract cognitive processes, animations might be beneficial, especially when a supportive pedagogical agent provides explanations. This article argues that animated models can be an effective instructional method, provided that they are…
Descriptors: Animation, Design Requirements, Guidelines, Cognitive Processes
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Mehta, Anju; Clayton, Howard; Sankar, Chetan S. – Journal of Educational Technology Systems, 2008
Past research has suggested that students need to be motivated by themselves (intrinsic learning motivation) and use higher-order cognitive skills so as to excel in problem solving, decision-making, and analytical reasoning in real-life situations. In this study, we examined the role of intrinsic learning motivation (ILM) and cumulative GPA in…
Descriptors: Grade Point Average, Structural Equation Models, Learning Motivation, Case Studies
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Lee, Young-Jin; Palazzo, David J.; Warnakulasooriya, Rasil; Pritchard, David E. – Physical Review Special Topics - Physics Education Research, 2008
We investigate short-term learning from hints and feedback in a Web-based physics tutoring system. Both the skill of students and the difficulty and discrimination of items were determined by applying item response theory (IRT) to the first answers of students who are working on for-credit homework items in an introductory Newtonian physics…
Descriptors: Feedback (Response), Physics, Item Response Theory, Tutoring
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Carpenter, Thomas P.; And Others – Journal for Research in Mathematics Education, 1993
After a year of instruction, 70 kindergarten children were individually interviewed as they solved basic, multistep, and nonroutine word problems. Thirty-two used a valid strategy for all 9 problems, and 44 correctly answered 7 or more problems. Modeling provided a unifying framework for thinking about problem solving. (Author/MDH)
Descriptors: Addition, Cognitive Processes, Cognitive Style, Division
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Goldenberg, E. Paul – Mathematics Teacher, 2006
This article discusses divisibility tests for any prime number.
Descriptors: Numbers, Mathematics, Mathematics Instruction, Arithmetic
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DeBellis, Valerie A.; Goldin, Gerald A. – Educational Studies in Mathematics, 2006
We discuss a research-based theoretical framework based on affect as an internal representational system. Key ideas include the concepts of meta-affect and affective structures, and the constructs of mathematical intimacy and mathematical integrity. We understand these as fundamental to powerful mathematical problem solving, and deserving of…
Descriptors: Problem Solving, Models, Affective Measures, Elementary School Students
Allen, Bradford D. – 1994
A central theme of Mandler's theory of emotion is that the interruption of a cognitive activity sets the stage for emotion. Mandler's theory is particularly applicable to mathematical problem-solving experiences. Mandler's linking of emotion to perception also makes emotion during problem solving an excellent candidate to be modeled with…
Descriptors: Affective Behavior, Graduate Students, Higher Education, Mathematics Education
Januszewski, Alan; Pearson, Robert – 1992
This discussion of different approaches to clarifying problems in the instructional development process defines what a problem is and the types of problems typically faced by instructional developers; presents a rationale for suggesting the use of evaluation models for finding development problems; and suggests ways in which the use of a…
Descriptors: Evaluation Methods, Instructional Development, Models, Needs Assessment
Rubenzer, Ronald L.; Rubenzer, Donna O. – 1984
Designed to accompany an all-day "brain" workshop on neurological aspects of learning, the manual contains charts and illustrations depicting the role and function of the right and left hemispheres. Additional material addresses such topics as physiological evolution of the brain, disharmony between left/right brain functions, comparisons between…
Descriptors: Brain, Cerebral Dominance, Cognitive Style, Creativity
Huber, James H. – Intellect, 1975
Urban studies departments are generally aimed toward synthesizing social science knowledge about the urban phenomena. The purpose of this paper is to critically examine the assumptions underlying this new attempt by economists, sociologists, and other social scientists to build a synthesis of social science knowledge upon man's urban condition.…
Descriptors: Educational Development, Interdisciplinary Approach, Models, Problem Solving
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Taylor, N. W. – Australian Mathematics Teacher, 1975
A model for population growth is described. (SD)
Descriptors: Computers, Instruction, Mathematical Models, Mathematics Education
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Denney, Nancy Wadsworth; Connors, Gerard J. – Child Development, 1974
Descriptors: Behavior Change, Instruction, Preschool Children, Problem Solving
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Becht, G. – BioScience, 1974
The blending of biological and technological knowledge of regulation and control formed the impetus for synthesizing the thesis of holism and the antithesis of reductionism to the metabiological systems theory. In principle, the possibilities have thereby been created to bring many transbiological systems under control again. (RH)
Descriptors: Biological Sciences, Conceptual Schemes, Learning, Models
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Wittmann, E. – International Journal of Mathematical Education in Science and Technology, 1975
In this paper the mathematical structures of Bourbaki, the Piagetian developmental structures, and Polya's heuristic structures are compared. (SD)
Descriptors: Comparative Analysis, Learning, Mathematical Models, Mathematics
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