747
Views
21
CrossRef citations to date
0
Altmetric
Articles

Using role-play for expert science communication with professional stakeholders in flood risk management

, , &
Pages 277-300 | Received 24 Apr 2013, Accepted 16 Jan 2014, Published online: 01 May 2014
 

Abstract

This paper explores role-play pedagogies in learning and communicating about cutting-edge flood science by flood risk management professionals in local government. It outlines role-play process/structure and evaluates participant perceptions of their learning experiences. Issues were impacts of prior role-play experience on attitudes brought to learning, work hierarchies that affected co-learning and wide diversity in learners’ prior knowledge/skills. Key skills perceived as developed were analytical and strategic use of flood science, and increased confidence in science communication. Feedback has implications for role-play pedagogies in teaching geography in Higher Education, in settings of increased learner diversity and in mirroring pedagogies in future workplaces.

Acknowledgements

This research was funded by the UK Natural Environment Research Council [grant number NE/H001786/1]. The contributions of all project partners are gratefully acknowledged.

Notes

1. For further information about the project, see https://www.foster.ox.ac.uk

2.http://cida.usgs.gov/mwa/floods/index.html

3. Knowledge exchange/science communication is now on the UK research funding councils’ agenda (e.g. NERC running public engagement training)

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 1,038.00 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.