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Mapping Professional Performance Metrics into ABET Outcomes Assessment Process

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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

Innovations in Curriculum and Course Development

Tagged Division

Manufacturing

Tagged Topic

Diversity

Page Count

12

DOI

10.18260/p.25679

Permanent URL

https://peer.asee.org/25679

Download Count

65

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Paper Authors

biography

Arif Sirinterlikci Robert Morris University Orcid 16x16 orcid.org/https://0000-0002-3272-0649

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Arif Sirinterlikci is a University Professor of Industrial and Manufacturing Engineering and the Department Head of Engineering at Robert Morris University. He holds BS and MS degrees, both in Mechanical Engineering from Istanbul Technical University in Turkey and his Ph.D. is in Industrial and Systems Engineering from the Ohio State University. He has been actively involved in ASEE and SME organizations and conducted research in Rapid Prototyping and Reverse Engineering, Biomedical Device Design and Manufacturing, Automation and Robotics, and CAE in Manufacturing Processes fields.

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Abstract

In this manufacturing engineering program, the internship course is mandatory. The benefit of such course is that the permanent placement rates of this program are higher when compared to similar institutions. Many of the students are staying in their internship companies as engineers after graduation. On the contrary, it is becoming harder to place all of the students into industrial internships due to increasing enrollments in both the domestic and international students. Thus, the internship coordinator and faculty members have modified the format of the experience, adding in-house research projects sponsored by the faculty members along with external research experiences including National Science Foundation (NSF) Research Experiences for Undergraduates (REU) or similar programs. In addition to REUs, some students are also finding employment directly at the partnering colleges.

For the assessment process, the program has utilized student and employer surveys in gaining feedback for continuous improvement. Student surveys are based on the perception of students on attaining the ABET student outcomes (a-k) while supervisor surveys are performance metrics and competency based. This paper will map ABET student outcomes and supervisor survey metrics. The correlation between the outcomes and expectations of employers will be determined and gaged based on the data collected over a span of few years.

Sirinterlikci, A. (2016, June), Mapping Professional Performance Metrics into ABET Outcomes Assessment Process Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25679

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