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Competency Assessment for Machine Design

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Conference

ASEE Southeast Section Conference

Location

Arlington, Virginia

Publication Date

March 12, 2023

Start Date

March 12, 2023

End Date

March 14, 2023

Conference Session

Mechanical Engineering 1

Tagged Topic

Professional Engineering Education Papers

Page Count

9

DOI

10.18260/1-2--44994

Permanent URL

https://peer.asee.org/44994

Download Count

110

Paper Authors

biography

Sally J. Pardue Tennessee Technological University Orcid 16x16 orcid.org/0000-0003-3348-1982

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Sally Pardue, Ph.D., is an associate professor of mechanical engineering at Tennessee Tech University, and former director (2009 - 2018) of the Oakley Center for Excellence in the Teaching of Science, Technology, Engineering, and Mathematics.

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Byron A Pardue Tennessee Technological University

biography

Taylor Chesson Tennessee Technological University

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Taylor Chesson is an Online Instructional Design Specialist in the Center for Innovation in Teaching and Learning at Tennessee Technological University. She enjoys working alongside instructors to combine traditional teaching methods with best pedagogical practices and emerging technologies. Prior to her role at Tennessee Tech, she worked as a Library Media Specialist.

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Abstract

Knowing what students’ knowledge, skills, and abilities (KSAs) are with respect to a particular set of topics in engineering has and continues to be a challenge for instructors. Herein, we offer a brief background on competency-based assessment trends and approaches. Further, we provide application of competency measures in the context of a fourth-year course in machine design for mechanical engineering. Our course re-design delivered in Summer 2022 as a pilot implementation with 18 students (both on-line and on-ground) and during Fall 2022 full implementation with 43 students (on-ground only) demonstrates the use of certain course planning tools for aligning instruction and assessments schedules. We highlight how learning management system tools are used to provide automated assessments, freeing up faculty time from direct grading to allow for more time to interact with students whose misconceptions or difficulties with demonstrating their KSAs in machine design are rapidly uncovered with weekly concept quizzes. Finally, the outcomes of the pilot and full implementation of a machine design course using competency-based assessment will be presented, with discussion of future planned work.

Pardue, S. J., & Pardue, B. A., & Chesson, T. (2023, March), Competency Assessment for Machine Design Paper presented at ASEE Southeast Section Conference, Arlington, Virginia. 10.18260/1-2--44994

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