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Finding That College Students Cluster in Majors Based on Differing Patterns of Spatial Visualization and Language Processing Speeds:

机译:基于空间可视化和语言处理速度的不同模式,发现大学生在专业中集群:

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For over 30 years, researchers such as Eisenberg and McGinty have investigated the relationship between 3-D visualization skills and choice of college major. Results of the present study support the fact that science and math majors tend to do well on a measure of 3-D visualization. Going beyond these earlier studies, the present study investigated whether a measure of Rapid Automatic Naming of Objectsa??which is normally used to screen for elementary school students who might struggle with speech, language, literacy, and numeracya??would further differentiate the choice of majors by college students. Far more research needs to be conducted, but results indicated that college students differentially clustered in scatterplot quadrants defined by the two screening assessments. Furthermore, several of these clusters, plus a statistical multiplier, may lead to a new understanding of students with phonological processing differences, learning disabilities, and speech and language impairments.
机译:30多年来,诸如Eisenberg和McGinty等研究人员研究了3-D可视化技能与大学专业选择之间的关系。本研究的结果支持以下事实:科学和数学专业的学生在3D可视化方面往往表现良好。除了这些较早的研究之外,本研究还调查了Objectsa快速自动命名的一种方法(通常用于筛选可能会遇到言语,语言,读写能力和计算能力问题的小学生)是否会进一步区分该选择。大学生的专业。需要进行更多的研究,但结果表明,大学生在两个筛选评估定义的散点图象限中有差异地聚集。此外,其中一些集群加上一个统计乘数,可能会导致对语音处理差异,学习障碍以及语音和语言障碍的学生产生新的认识。

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