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ABET Data as a Model for Improving Engineering Education: A Pilot of the Engineering Economy Course

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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

Engineering Economy Division Technical Session 2

Tagged Division

Engineering Economy

Page Count

18

DOI

10.18260/p.26485

Permanent URL

https://peer.asee.org/26485

Download Count

25

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Paper Authors

biography

Jerome P. Lavelle North Carolina State University

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Jerome P. Lavelle is Associate Dean of Academic Affairs in the College of Engineering at North Carolina State University. His teaching and research interests are in the areas of engineering economic analysis, decision analysis, project management, leadership, engineering management and engineering education.

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Abstract

This paper describes a new model and way of thinking about the process of assessing and evaluating engineering education programs for accreditation, and the way that data is used and shared. The proposed model provides a construct that can be used to think about how best to respond to the opportunity to re-design, re-configure and re-engineer current processes.

As a pilot of the model, data has been extracted from 37 ABET EAC industrial engineering program self-study reports (SSRs) submitted for evaluation over the past couple of accreditation cycles. Data is collected across the ABET evaluation criteria for each program and organized to recognize best practices and benchmarks, as well as demonstrate ideas associated with the proposed model.

Lavelle, J. P. (2016, June), ABET Data as a Model for Improving Engineering Education: A Pilot of the Engineering Economy Course Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26485

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