147
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Drunk and Alone in a K‐Mart Parking Lot: The Pedagogy of Simulations and Contemporary Attitudes Toward Drinking and Driving

Pages 417-431 | Published online: 11 Nov 2008
 

Abstract

This paper describes the use of active learning strategies to teach research methods in a criminal justice course. We investigated the public’s response to a drunk asking for help unlocking a car door to drive home. Students learned the methodology of simulations and then participated in creating a psychological and social state of drinking and acting drunk while asking for help in unlocking their car door. We review the literature on active learning and present an overview of DUI laws. We then describe our methodology of teaching and simulations. The simulation produced 112 incidences of a student drunk asking for help unlocking their car door. One‐third (35.7%) of the subjects who said they thought the student was drunk helped him unlock the car door, compared with 62% 25 years earlier (Formby & Smykla, Citation1984, Journal of Police Science and Administration, 12, 379–384). We conclude with findings and discuss the use of simulations as a pedagogical tool.

Notes

1. The “drunks” were instructed to approach only individuals who appeared to be age 21 and older. Students were put through training to learn to approximate the age of passers‐by and were told to err on the side of caution if an individual could be under the age of 21.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 348.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.