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Spatial Visualization Ability and Learning Style Preference Assessment Among Construction Related Undergraduate Engineering and Technology Students

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Conference

2016 ASEE Annual Conference & Exposition

Location

New Orleans, Louisiana

Publication Date

June 26, 2016

Start Date

June 26, 2016

End Date

August 28, 2016

ISBN

978-0-692-68565-5

ISSN

2153-5965

Conference Session

Assessment Within Engineering Design Graphics

Tagged Division

Engineering Design Graphics

Page Count

16

DOI

10.18260/p.25855

Permanent URL

https://peer.asee.org/25855

Download Count

99

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Paper Authors

biography

Richelle Fosu Purdue University, West Lafayette

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Richelle Fosu is a PhD Fellow/Candidate in the Computer Graphics Technology department at Purdue University. Her specialization is in Building Information Modeling. Richelle Fosu has a BS in Electrical Engineering and Computer Science from Jacobs University, Bremen Germany; and a MS in Computer Graphics Technology from Purdue University. Her research interests include Building Information Modeling, Spatial Visualization and technology enhanced learning.

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Karthik Sukumar Purdue University

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Patrick E. Connolly Purdue University, West Lafayette

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Dr. Patrick Connolly is a professor and department head of the Department of Computer Graphics Technology in the College of Technology at Purdue University. He has extensive experience in the aerospace design and CAD/CAE software industries, and has been serving in higher education for almost twenty years. Dr. Connolly has a BS degree in Design and Graphics Technology and an MS in Computer Integrated Manufacturing from Brigham Young University, and a PhD in Educational Technology from Purdue University. His research interests include spatial ability development, virtual and augmented reality applications, product data and lifecycle management, and innovative classroom methodologies.

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Abstract

This research paper presents an investigation into the relationship between learning style preferences and spatial ability levels of students within construction related majors in engineering and technology. This study used a quantitative approach of data collection, with the instruments for data collection being the Purdue Spatial Visualization test (PSVT) and the Felder-Soloman Index of Learning Styles (ILS). The relationship between the identified learning styles of the participants and their visualization skills was explored, in order to better understand if higher/lower spatial abilities had any correlation with an individual’s learning style preference.

Fosu, R., & Sukumar, K., & Connolly, P. E. (2016, June), Spatial Visualization Ability and Learning Style Preference Assessment Among Construction Related Undergraduate Engineering and Technology Students Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25855

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