Spatial Visualization Ability and Learning Style Preference Assessment Among Construction Related Undergraduate Engineering and Technology Students
Author(s) -
Richelle Fosu,
Karthik Sukumar,
Patrick Connolly
Publication year - 2016
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/p.25855
Subject(s) - preference , visualization , style (visual arts) , data collection , learning styles , spatial ability , computer science , cognitive style , data visualization , mathematics education , human–computer interaction , psychology , artificial intelligence , mathematics , statistics , geography , cognition , archaeology , neuroscience
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.
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