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Will Prior Experiences Help Predict Aptitude Test Results?

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Conference

2011 ASEE Annual Conference & Exposition

Location

Vancouver, BC

Publication Date

June 26, 2011

Start Date

June 26, 2011

End Date

June 29, 2011

ISSN

2153-5965

Conference Session

New Trends in ECE Education

Tagged Division

Electrical and Computer

Page Count

13

Page Numbers

22.1688.1 - 22.1688.13

DOI

10.18260/1-2--18543

Permanent URL

https://peer.asee.org/18543

Download Count

517

Paper Authors

biography

Christopher Van Arsdale Michigan Technological University

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Christopher Van Arsdale is a graduate student in mining engineering. His interests include power systems, controls, and mine design.

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biography

Leonard J. Bohmann Michigan Technological University

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Leonard J. Bohmann received his B.S. in Electrical Engineering from the University of Dayton in 1983, and his M.S. and Ph.D. in Electrical Engineering from the University of Wisconsin in 1986 and 1989 respectively. After graduating, he accepted a faculty position at Michigan Tech in the Department of Electrical and Computer Engineering. Dr. Bohmann was appointed interim chair of the Department for the 2007-08 academic year and in 2007 he was also appointed to his present position, Associate Dean for academic affairs within the College of Engineering.

He is an ASEE member, and participates in the Electrical and Computer Engineering, Energy Conversion and Conservation, Computers in Education, and Educational Research and Methods Divisions. He is presently serving as Chair of the Electrical and Computer Engineering Division.

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Abstract

Will Prior Experiences Help Predict Specific Aptitude Test Results?Abstract:In an effort to determine the level of hands on ability a student may have, it is common to use anaptitude test. Most common are mechanical aptitude tests that ask the student to determine what wouldhappen if a particular set of circumstances are present. These responses try to determine if the studentcan mentally determine how physical objects operate. An electrical aptitude test would, then try todetermine if a student could mentally determine how electrical devices operate in different scenarios,and what may be wrong with a circuit if it is not working.The aptitude test questions are the correlated with information taken from two additional electronicallyadministered surveys: one asking about their engineering attitudes, another asking about priorexperiences. Additionally, information on the student's GPA, ACT/SAT scores, and laboratory finalexam score are included.The purpose of this paper is to determine if there is some connection between the prior experiences aperson has and their performance on the Electrical Aptitude Test (EAT). In addition to the total score,the individual questions of the EAT will be examined to determine if certain prior experiences orattitudes correlate with certain question answers. The goal is to determine what experiences orattitudes toward engineering can contribute to or indicate hands on ability.The sample size will be approximately 200 students in a introductory electrical and computerengineering laboratory. This lab introduces students to the basic instruments used in electrical andcomputer engineering. It is the first exposure to the electrical or computer engineering laboratory thatstudents receive. The class is typically composed of 16 students that work individually on assignmentsthat teach how to take measurements, construct circuits and use oscilloscopes, function generators,multimeters, and DC power supplies.The Electrical Aptitude Test was constructed by the researchers after trying to locate a validated test foruse in this hands on study. While there are a number of “electrical” aptitude tests available, most arespecifically geared towards some kind of maintainable (ie vehicle electrical systems for example)rather than general electrical knowledge. The test tries to cover a wide range of electrical and computerknowledge. It consists of 19 questions including definition of terms, basic circuit fundamentals,understanding of electric motors, and energy loss concepts.

Arsdale, C. V., & Bohmann, L. J. (2011, June), Will Prior Experiences Help Predict Aptitude Test Results? Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC. 10.18260/1-2--18543

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