2,820
Views
43
CrossRef citations to date
0
Altmetric
Articles

Multisensory Emplaced Learning: Resituating Situated Learning in a Moving World

, &
Pages 170-183 | Published online: 08 Mar 2013
 

Abstract

This article outlines the implications of a theory of “sensory-emplaced learning” for understanding the interrelationships between the embodied and environmental in learning processes. Understanding learning as multisensory and contingent within everyday place-events, this framework analytically describes how people establish themselves as “situated learners.” This approach is demonstrated through three examples of how culturally constructed sensory categories offer routes to knowing about the multisensoriality of learning experiences. This approach, we suggest, offers new routes within practice-oriented educational theories for understanding how human bodies become situated and embedded in cultural, social, and material practices within constantly shifting place-events.

Notes

Vaike Fors’ research on teenagers sensory practices in museums and online was funded between 2007 and 2009 by the Swedish Research Council. Åsa Bäckström's research about skateboarders’ aesthetic learning processes was funded by the Swedish Research Council between 2008 and 2012. Sarah Pink's research into Slow Cities was funded between 2005 and 2007, by the Faculty of Social Sciences and Humanities at Loughborough University and a small grant from the Nuffield Foundation (UK).

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 320.00 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.