Title :
Spatial skills as predictors of success in first-year engineering
Author :
Sorby, S. ; Nevin, E. ; Behan, A. ; Mageean, E. ; Sheridan, S.
Author_Institution :
CREATE Res. Group, Dublin Inst. of Technol., Dublin, Ireland
Abstract :
Numerous research studies have highlighted the importance of well-developed 3-D spatial skills for success in STEM related programs. Poor spatial skills, particularly among first-year students, can place them at a distinct disadvantage when completing introductory courses in mathematics, CAD, descriptive geometry, and graphic communications - first-year requirements in many STEM related programs. This in turn can lead to poor grades and retention issues. Women are disproportionally among the group of students with weak or poorly developed 3-D spatial skills meaning that they are at a greater risk of leaving engineering when compared to their male counterparts. In this study, the spatial skills of first-year students in several engineering and technology programs were assessed through two standardized instruments widely used in spatial cognition research. The spatial skills of architecture and computer science students were also assessed for comparison purposes. This paper outlines the results obtained from a study at an Institution of Higher Learning and draws conclusions regarding the importance of spatial skills for success in introductory STEM courses. Grades at the end of the semester were obtained in several mathematics courses to determine if there is a correlation between spatial skill level and student performance in introductory math courses.
Keywords :
STEM; computer science education; educational courses; engineering education; gender issues; 3D spatial skill; CAD; Institution of Higher Learning; STEM related program; architecture sudents; computer science student; descriptive geometry; first-year engineering; graphic communication; introductory STEM courses; introductory course; introductory math courses; mathematics courses; spatial cognition research; standardized instrument; technology program; Computer architecture; Correlation; Data visualization; Educational institutions; Qualifications; gender differences; spatial skills; student access;
Conference_Titel :
Frontiers in Education Conference (FIE), 2014 IEEE
DOI :
10.1109/FIE.2014.7044005