视觉空间推理建模

IF 1.6 4区 心理学 Q3 PSYCHOLOGY, EXPERIMENTAL
Stephen K. Reed
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引用次数: 6

摘要

我将我提出的对Soar/Spatial/Visual System和Kosslyn(1983)对图像的计算操作的修改应用于2x2分类法中的问题,该分类法根据编码是否涉及对象内或对象之间的静态或动态关系对研究进行分类(Newcombe & Shipley, 2015)。然后,我对数学和科学课程中包含的问题重复这种分析。因为这些问题中的许多都涉及到图表推理,Hegarty(2011)的视觉空间显示推理框架为组织这一主题提供了额外的支持。两个更相关的框架规定了不同抽象层次的推理(Reed, 2016)和不同的动作和对象组合(Reed, 2018)。文章最后对未来的发展方向提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling visuospatial reasoning
ABSTRACT I apply my proposed modification of Soar/Spatial/Visual System and Kosslyn’s (1983) computational operations on images to problems within a 2 × 2 taxonomy that classifies research according to whether the coding involves static or dynamic relations within an object or between objects (Newcombe & Shipley, 2015). I then repeat this analysis for problems that are included in mathematics and science curricula. Because many of these problems involve reasoning from diagrams Hegarty’s (2011) framework for reasoning from visual-spatial displays provides additional support for organizing this topic. Two more relevant frameworks specify reasoning at different levels of abstraction (Reed, 2016) and with different combinations of actions and objects (Reed, 2018). The article concludes with suggestions for future directions.
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来源期刊
Spatial Cognition and Computation
Spatial Cognition and Computation PSYCHOLOGY, EXPERIMENTAL-
CiteScore
4.40
自引率
5.30%
发文量
10
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