June 23, 2013
June 23, 2013
June 26, 2013
NSF Grantees Poster Session
23.896.1 - 23.896.6
Mental Models of Students and Practitioners in the Development of an Authentic Assessment Instrument for Traffic Signal Engineering By David S. Hurwitz, Shane Brown, Kelvin Daratha, & Mohammad IslamConducting fundamental engineering education research on student andpractitioner ways of knowing is a critical and often overlooked first step incurriculum and assessment design. This research project determined the coreconcepts related to and synthesized student and practitioner conceptualunderstanding of isolated and coordinated signal systems. A modified version ofthe Delphi Method was used to develop consensus among 16 transportationengineering faculty and engineering professionals on the most consistent, relevant,and core concepts in traffic signals. The most important concepts are warrantanalysis (or determining the need or justification for a new signalized intersection)and signal timing, calculations, and phasing. Clinical interviews were conductedwith approximately 50 students and 35 early career engineering professionals toinvestigate, characterize and synthesize their understandings of traffic signaloperations. Comparison of understandings were conducted to determinedifferences in how engineering students and early career engineering professionalsthink about signal design and to determine persistent misconceptions within thisdiscipline. Additionally, interviews were analyzed to determine commonmisconceptions. This research will produce a taxonomy of differences in theknowledge of students and early career engineering professionals related to trafficsignals and a summary of misconceptions. These project outcomes will be the basisof a newly-developed concept inventory and curriculum, such as inquiry basedconceptual exercises and assessments, both of which will be situated inengineering thinking and design. This study is significant because it fundamentallyadvances the field by identifying differences in conceptual understanding betweenpracticing engineers and students with respect to the design and operation of trafficsignal systems. Traffic signals are a central component of transportationinfrastructure as they directly contribute to the safety and efficiency of the surfacetransportation system.Title:1. Title: The title must be centered with at least a one and one-half inch margin onthe left and right.2. Font: Times New Roman typeface is required, bold faced, 14 point.3. Author and Affiliation: Submissions are done in a double blind. No author oraffiliation information is to be included on any abstracts.4. Footers: Do not include any in your abstract.Body of the Abstract (beginning under title information)1. Format: The document will be in a one-column format with left justification.There must be a 1 inch margin on the left, right, and bottom.2. Font: Times New Roman typeface is required, 12 point, skipping one linebetween paragraphs.3. Length: Abstracts should generally be between 250 - 500 words.Biographical InformationBiographical information is to be saved in Monolith on the Author/Co-Authorpage. It will be automatically added to your paper at the end of the process.OtherDo not include session numbers in any part of the document, unless specificallyrequested to do so by a call for papers.Do not include any author or affiliation information in any part of your abstract sothat your abstract is able to receive a blind review.Additional Guidelines and Suggestions:• As appropriate, include the pedagogical theory or approach being used;• Indicate the form that your outcome(s) will take as appropriate;• As applicable, methods of assessment should be made clear;• A second page may be used to include a graph or image to clarify the nature ofyour work or to include limited references toIndicate a basis for the work undertaken.Peer review occurs for both abstracts and papers. Abstract acceptance does notguarantee acceptance of the paper. All division have a Publish-to-Presentrequirement and final papers must be written and accepted in order for the work tobe presented at the 2013 ASEE Annual Conference in Atlanta, GA. Submission ofabstracts and final papers will be via the Monolith system and in accordance withASEE published deadlines.
Hurwitz, D. S., & Brown, S. A., & Islam, M. R., & Daratha, K. (2013, June), Mental Models of Students and Practitioners in the Development of an Authentic Assessment Instrument for Traffic Signal Engineering Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. https://peer.asee.org/22281
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