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问题解决的表征态理论 被引量:20

The Representation-state Theory of Problem Solving
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摘要 问题解决的表征态理论(简称RST)认为问题解决就是问题的表征态连续、非线性的变化的过程,其中存在数据驱动和概念驱动两种方式。在问题表征态变化的过程中,问题解决者所掌握的专业知识起着重要的作用,它是问题解决者对问题情境信息进行同化的基础,也是对问题结构进行心理建构的基础。RST的假设及其推论在中学生物理问题解决过程中得到检验。 According to the Representation-state Theory (RST for short) of problem solving, the problem solving is a process of continuous and nonlinear variance of problem representation-state, in which there exist two modes: data-driven and concept-driven. In the varying process of problem representation-state, the professional knowledge mastered by problem solvers plays an important role, which is base of problem solvers proceeding with assimilation of problem surroundings information and psychological construction of problem structure. Hypotheses of the RST and their corollaries have been tested and checked in the process of physics problem solving in some high schools.
作者 邓铸
出处 《心理学探新》 CSSCI 2003年第4期17-20,共4页 Psychological Exploration
基金 全国教育科学"十五"重点规划项目(DBB010511) 江苏哲社"十五"规划项目(L3-025) 南京师大科研启动基金资助(2002XG007)。
关键词 中学 物理问题解决 问题解决理论 表征态理论 认知作业分析法 产生式 representation-state theory physics problem solving cognitive task analysis
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参考文献5

  • 1Newell A, Simon H A. Human Problem Solving[ M].Englewood Cliffs, N J: Prentice- Hall, 1972.
  • 2Simon H A, NeWell A. Human problem solving : The state of the theory 1970 [J]. American Psychologist,1971, 26:145 - 159.
  • 3Simon H A, et al. Decision Making and Problem Solving[M]. Washington, DC: National Academy Press, 1986.
  • 4Zhang J. The nature of external representation in problem solving[J]. Cognitive Science, 1997, 21(2): 179-217.
  • 5Larkin J H, et al. Expert and novice performance in solving physics problems[J]. Science, 1980, 208(20).

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