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Modeling visuospatial reasoning
Spatial Cognition & Computation ( IF 1.533 ) Pub Date : 2018-04-27 , DOI: 10.1080/13875868.2018.1460751
Stephen K. Reed 1, 2
Affiliation  

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.



中文翻译:

视觉空间推理建模

摘要

我将拟议的Soar / Spatial / Visual System和Kosslyn(1983)对图像的计算操作的修改应用于2×2分类法中的问题,该分类法根据编码是涉及对象内部还是对象之间或对象之间的静态或动态关系对研究进行分类(Newcombe &Shipley,2015年)。然后,我针对数学和科学课程中包含的问题重复此分析。由于这些问题中有许多涉及图表的推理,因此Hegarty(2011)的从视觉空间显示推理的框架为组织此主题提供了额外的支持。另外两个相关的框架在不同的抽象级别(Reed,2016)以及动作和对象的不同组合(Reed,2018)指定了推理。本文最后提出了未来方向的建议。

更新日期:2018-04-27
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