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Use Of Myers Briggs Type Indicator In The University Of Tennessee Engage Freshman Engineering Program

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Conference

2002 Annual Conference

Location

Montreal, Canada

Publication Date

June 16, 2002

Start Date

June 16, 2002

End Date

June 19, 2002

ISSN

2153-5965

Conference Session

Learning Styles of Engineers

Page Count

15

Page Numbers

7.1235.1 - 7.1235.15

DOI

10.18260/1-2--10352

Permanent URL

https://peer.asee.org/10352

Download Count

732

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Paper Authors

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Tom Scott

author page

J. Elaine Seat

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J. Roger Parsons

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Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

Main Menu Session 2422

Use of Myers-Briggs Type Indicator in the University of Tennessee engage Freshman Engineering Program

Thomas H. Scott, J. Roger Parsons, J. Elaine Seat

Engineering Fundamentals Division, The University of Tennessee

Abstract

The subject of student learning style has been a topic of interest in engineering education for some time. As engineering educators have struggled with how to increase retention, interest nontraditional students into the profession, and incorporate an exploding knowledge base into the curriculum, the systematic study of how students learn technical material has become increasingly important. It has become accepted that students have different learning styles and that alternate teaching styles and methods can assist the learning process. Many of the innovations in approach to engineering education and the decrease in emphasis on lecturing as the primary method of material delivery have resulted from knowledge and appreciation of student learning style.

Of the many diagnostic tools available to measure learning style, The Myers-Briggs Type Indicator is probably the most commonly used. At the University of Tennessee, we have given the Myers-Briggs to engineering freshmen since 1990 and have a substantial database for engineering students that includes learning style information.

In this paper we utilize this database to show the MBTI distribution for students at our university, compare this information to existing engineering student data available in the literature, explore graduation rates for different learning styles, and explore gender and minority differences in learning style and graduation rate.

We also have given the MBTI to our engineering faculty and have data to demonstrate the teaching /learning style differences that a typical engineering student faces in his or her classes. We compare this information with MBTI data for educators from kindergarten through high school to show how this situation has changed for a typical student as they have progressed through their educational career. We also compare this information with existing data for engineers working in industry.

Background

There is a substantial history of the use of the Myers-Briggs Type Indicator 1 in engineering education. This instrument, which classifies people into psychological subgroups and is based on the theories of Carl Jung, is very popular for career counseling, work team formation, and personal development.

The Myers-Briggs types are based on the theory that all of us are born with preferences. A preference is simply a preferred way of doing things. However, a tendency or preference does

“Proceedings of the 2002 American Society for Engineering Education Annual Conference & Expositi on” Copyright © 2002, American Society for Engineering Education

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Scott, T., & Seat, J. E., & Parsons, J. R. (2002, June), Use Of Myers Briggs Type Indicator In The University Of Tennessee Engage Freshman Engineering Program Paper presented at 2002 Annual Conference, Montreal, Canada. 10.18260/1-2--10352

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