Enhancing Transportation Education through On-line Simulation using an Agent-Based Demand and Assignment Model

Shanjiang Zhu, Feng Xie and David Levinson

No 201101, Working Papers from University of Minnesota: Nexus Research Group

Abstract: This research explores the effectiveness of using simulation as a tool for enhancing classroom learning in the Civil Engineering Department of the University of Minnesota at Twin Cities. The authors developed a modern transportation planning software package, Agent-based Demand and Assignment Model (ADAM), that is consistent with our present understanding of travel behavior, that is platform independent, and that is easy to learn and is thus usable by students. An in-class project incorporated ADAM and the performance of this education strategy was evaluated through pre-class survey, post-class survey, scores in the quiz focusing on travel demand modeling and final scores. Results showed that ADAM effectively enhanced students' self-reported understanding of transportation planning and their skills of forming opinions, evaluating projects and making judgments. Students of some learning styles were found to benefit more than others through simulation-based teaching strategy. Findings in this research could have significant implications for future practice of simulation-based teaching strategy.

JEL-codes: A23 R41 R42 R48 (search for similar items in EconPapers)
Date: 2005
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Published in ASCE Journal of Professional Issues in Engineering Education and Practice 137(1) pp. 38-45.

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http://hdl.handle.net/11299/180006 First version, 2007 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:nex:wpaper:adam-education

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