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Application of Data Management Tools for ABET Accreditation

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Collection

2012 ASEE Annual Conference & Exposition

Location

San Antonio, Texas

Publication Date

June 10, 2012

Start Date

June 10, 2012

End Date

June 13, 2012

ISSN

2153-5965

Conference Session

Potpourri

Tagged Division

Computing & Information Technology

Page Count

12

Page Numbers

25.192.1 - 25.192.12

Permanent URL

https://peer.asee.org/20952

Download Count

33

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Paper Authors

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Abby M Kelly University of Washington

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Evan T. Curtis Univeristy of Nebraska, Lincoln

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Johnathan Ian Edward McCoy University of Nebraska, Lincoln

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Dennis D. Schulte P.E. University of Nebraska, Lincoln

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David Jones University of Nebraska, Lincoln

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David Jones is a professor of biological systems engineering and the Associate Dean of the College of Engineering at the University of Nebraska, Lincoln.

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Abstract

Application of data management tools for ABET accreditation A task of the ABET accreditation process is to have documented student outcomes thatprepare students to attain program educational objectives. Traditionally, evidence for individualsis stored in a hard copy sampling of student work. However, the advent of electronic documentconversion and database management enables the ability to readily prepare documents forcontinuous assessment. Recently, two data management and assessment tools were created andapplied for documenting student outcomes for courses within each engineering program. Togenerate documentation, evidence included course syllabi, lecture notes, and oral presentationsof design projects all saved or converted to an electronic format. Once evidence was compiledinto a database containing student outcomes for each course, the evidence was given acompetency rating based on Bloom’s taxonomy. Following an assessment of achievement basedon evidence, the course target for each student outcome was assessed using the gap analysis tool.The tool compared the target student outcomes of each course and related them to the outcomesindicated by the evidence. This relation was able to demonstrate whether an instructor was overor under achieving the intended student outcomes for the course. The purpose of this paper is toshowcase the application of these data management tools for use in evidence collection andcurriculum assessment for both agricultural and biological engineering programs.

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