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Gathering ABET Student Outcome Evidence Using Technology: What Happens When Results Don’t Match Grant Goals and Research Takes an Unexpected Turn?

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Conference

2018 ASEE Annual Conference & Exposition

Location

Salt Lake City, Utah

Publication Date

June 23, 2018

Start Date

June 23, 2018

End Date

July 27, 2018

Conference Session

ET Administrative Issues

Tagged Division

Engineering Technology

Page Count

8

Permanent URL

https://peer.asee.org/30555

Download Count

30

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Paper Authors

biography

Elizabeth Freije Indiana University-Purdue University of Indianapolis

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Elizabeth Freije is a Lecturer in the Department of Engineering Technology at Purdue University, Indianapolis. She received her BS in Computer Engineering Technology with a minor in Mathematics. She received her Masters in Technology at Purdue University, Indianapolis. She teaches classes in programming languages, embedded micro-controllers, mobile devices, and programmable logic controllers.

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Barbara L Christe Indiana University-Purdue University of Indianapolis

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Barbara Christe is an associate professor and director of the biomedical engineering technology program in the Purdue School of Engineering and Technology at Indiana University Purdue University Indianapolis (IUPUI). She coordinates a unique academic program that prepares engineering technology graduates to support the safe and effective use of medical equipment in the clinical setting. Dr Christe has a bachelor's degree and master's degree in biomedical engineering from Marquette University and Rensselaer at Hartford respectively. Her doctorate is in higher education administration from the University of Phoenix. She conducts research in the clinical applications of radio frequency identification technologies (RFID) as well as STEM student retention.

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Elaine M. Cooney Indiana University-Purdue University of Indianapolis

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Elaine Cooney is the Program Director for Electrical Engineering Technology at Indiana University Purdue University Indianapolis. She is also a Senior IDEAL Scholar with ABET, which means that she presents assessment workshops with other Senior IDEAL Scholars.

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Abstract

Small research grants can offer faculty members the opportunity to explore potential solutions to automate the collection of student outcome evidence as needed to support ABET assessment plans. This paper explores the results of two such grants that sought to utilize a student electronic portfolio to archive evidence and seamlessly aggregate the evidence for assessment purposes. In addition, the integration of an electronic portfolio, the ePDP, could promote both ABET assessment data collection as well as reflective activities to assist students in viewing the curriculum as a developmental process, aggregating evidence over the enrollment years. However, the research activities exposed several flaws. TaskStream DRF template did not facilitate seamless integration between the instructor’s ABET rubrics in TaskStream and the student assignment. Nor did TaskStream aggregate the student work in such a way that the student or the instructor could efficiently analyze its correlation to an ABET student outcome. Specifically, redundant input was required from both the students and the instructors. Despite the disappointing limitations exposed with the grant funds, and hopeful attempts to resolve the identified flaws, the researchers found an unexpected and satisfying solution outside of the electronic portfolio. The learning management system, Canvas, features the tool: Outcomes. The tool allows mastery statements to be created and shared across courses in a program. The mastery statements can be imported into a specific course, then linked to assignment rubrics, previously created to assess student submissions. Rich information on student outcome attainment is available when the Outcome tool is used consistently by faculty.

Freije, E., & Christe, B. L., & Cooney, E. M. (2018, June), Gathering ABET Student Outcome Evidence Using Technology: What Happens When Results Don’t Match Grant Goals and Research Takes an Unexpected Turn? Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. https://peer.asee.org/30555

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