Determining if Spatial Reasoning is Required to Learn CS

Amber Solomon
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Abstract

Spatial reasoning may be a strong predictor for a career in Computer Science (CS) [9]. However, it is unclear why and how spatial abilities lead to success in CS. Investigating the role of spatial reasoning in learning CS may be important for broadening participation. Most students who excel in CS are white males or students from a high socioeconomic status (SES) [2, 5]. These same students typically score higher on spatial reasoning tests than their peers [1]. Thus spatial reasoning may be another factor preventing marginalized communities from succeeding in CS.
确定学习计算机科学是否需要空间推理
空间推理可能是计算机科学(CS)职业生涯的一个强有力的预测因素[9]。然而,目前尚不清楚空间能力为什么以及如何导致计算机科学的成功。研究空间推理在计算机科学学习中的作用可能对扩大参与很重要。大多数在计算机科学方面表现优异的学生是白人男性或社会经济地位较高的学生[2,5]。这些学生在空间推理测试中的得分通常高于他们的同龄人[1]。因此,空间推理可能是阻止边缘化社区在CS中取得成功的另一个因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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