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

SAGE Open

Richard M. Oldrieve¹ 

关键词: literacy;    visualization;    phonological processing;    learning disabilities;    science;    math;    technology;    STEM;    neuroscience;   

DOI  :  10.1177/2158244014528339

学科分类：社会科学、人文和艺术（综合）

来源: Sage Journals

【 摘 要 】

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 Objects—which is normally used to screen for elementary school students who might struggle with speech, language, literacy, and numeracy—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.

【 授权许可】

CC BY