DocumentCode :
654388
Title :
Enhancing engineering mechanics statics instruction using manipulative truss models
Author :
Mejia, Joel A. ; Goodridge, Wade ; Green, Charles
Author_Institution :
Dept. of Eng. Educ., Utah State Univ., Logan, UT, USA
fYear :
2013
fDate :
23-26 Oct. 2013
Firstpage :
369
Lastpage :
371
Abstract :
Enhancing a student´s ability to mentally visualize and intuitively assess foundational concepts in engineering mechanics - statics can create a significant advantage for students in their pre-professional engineering courses. Concepts such as forces and moments often prove to be challenging for students lacking hands-on mechanical experience or those who are visual and kinesthetic learners. Showing students these “intangible” mechanics principles is not an easy task and usually requires proactive measures to improve learning. In an effort to improve visualization and tactile learning in a college mechanics - statics course, hands-on and visual truss models were developed based on the concept of physical manipulatives. Mathematics instructors use manipulative models to help students identify different mathematical concepts. These models not only allow the students to see and feel different objects but also to manipulate the objects to form a concrete representation of the concept. Furthermore, manipulative models help students visualize, feel, and analyze the behavior of the material being manipulated. This study examines the relationship between the use of a physical model of a truss and the students´ framing of information during task interpretation to successfully attain conceptual understanding about truss analysis.
Keywords :
engineering education; structural engineering; supports; engineering mechanics statics instruction; kinesthetic learners; manipulative truss models; preprofessional engineering courses; student ability enhancement; visual learners; Educational institutions; Engineering students; Materials; Mathematical model; Visualization; constant comparative analysis; manipulatives; statics; task interpretation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers in Education Conference, 2013 IEEE
Conference_Location :
Oklahoma City, OK
ISSN :
0190-5848
Type :
conf
DOI :
10.1109/FIE.2013.6684849
Filename :
6684849
Link To Document :
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