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Knowledge Surveys in Engineering Statics

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Conference

2017 ASEE Annual Conference & Exposition

Location

Columbus, Ohio

Publication Date

June 24, 2017

Start Date

June 24, 2017

End Date

June 28, 2017

Conference Session

Addressing the Human Dimension in Teaching Statics, Dynamics, Mechanics

Tagged Division

Mechanics

Tagged Topic

Diversity

Page Count

19

DOI

10.18260/1-2--28602

Permanent URL

https://peer.asee.org/28602

Download Count

813

Paper Authors

biography

Eric Davishahl Whatcom Community College Orcid 16x16 orcid.org/0000-0001-9506-2658

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Eric Davishahl is faculty and engineering program coordinator at Whatcom Community College. Eric has been a member of ASEE since 2001. He currently serves as chair of the Pacific Northwest Section and was the recipient of the 2008 Section Outstanding Teaching Award.

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Abstract

Knowledge surveys ask students to report on their confidence that they can perform specific tasks aligned with course learning outcomes instead of asking students to complete said tasks. This approach allows these surveys to cover a broad range of course topics and cognitive levels while requiring a relatively short amount of time to complete. Administering the surveys multiple times during a course offers a context for students to reflect on their own learning progress and provides useful assessment data to the instructor. Knowledge survey applications documented in the science education literature include their use for both formative and summative assessment of student learning, their use by faculty in assessing the effectiveness of teaching methods, and their use by programs and departments in evaluating curriculum. Reporting on the use of these types of self-assessment surveys; however, is generally absent in the engineering education literature. This paper seeks to introduce this potentially useful tool to the engineering education community by reporting on the development and implementation of a knowledge survey for an engineering statics course. The survey consists of 122 specific success criteria mapped to eight course-level learning outcomes. Students completed the survey three times during the term; once during the first week of class; once before the first exam; and once before the second exam. The paper explores several potential uses of the survey data, examines correlation of the survey responses with exam scores, and concludes that these surveys show promise as a tool for engineering educators. Their effectiveness toward multiple teaching goals warrants further development and investigation.

Davishahl, E. (2017, June), Knowledge Surveys in Engineering Statics Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. 10.18260/1-2--28602

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