Finding That College Students Cluster in Majors Based on Differing Patterns of Spatial Visualization and Language Processing Speeds
Bibliographic Data
| ID | 16912239 |
|---|---|
| Authors | Richard M Oldrieve (Cleveland State University, corresponding author), Cynthia D Bertelsen (0000-0002-2267-1978, Bowling Green State University), Cynthia Bertelsen |
| Year | 2014 |
| Volume | 4 |
| Issue | 1 |
| Publication date | 2014-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | SAGE Open (JOURNAL) |
| Journal identifiers | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/2158244014528339 |
| OpenAlex | W2166696129 |
| Language | EN |
| References cited | 25 |
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
Cognition · Literacy · Mathematics education · Numeracy · Pedagogy · Spatial Ability · Visualization · Cognitive and developmental aspects of mathematical skills · Computer Science · Psychology · Reading and Literacy Development · Spatial Cognition and Navigation · Artificial Intelligence
| Highly cited | No |
|---|