1,327
Views
12
CrossRef citations to date
0
Altmetric
Original Articles

‘They call me wonder woman’: the job jurisdictions and work‐related learning of higher level teaching assistants

, , &
Pages 97-112 | Received 04 May 2009, Accepted 18 Feb 2010, Published online: 03 Jun 2010
 

Abstract

This paper reports on an in‐depth interview study of the roles, job jurisdictions and associated learning of higher level teaching assistants (HLTAs). This role has the core purpose of covering classes to enable teacher release for planning, preparation and assessment. HLTAs’ individual job jurisdictions are described and discussed as are implications for their knowledge and practice. The HLTAs are found to have wide‐ranging job domains and, sometimes, unexpected involvements which mean they have to improvise practice. The study acknowledges that these HLTAs are being creatively managed and deployed by head teachers for the sake of teachers and schools. However, they are, at times, required to take on planning and cover duties which are beyond their knowledge and training with a likely impact on children’s learning. Given their training and experience it is asked if covering classes to release teachers is the most effective use of their abilities and time.

Acknowledgements

The authors wish to thank Ian Kessler, Templeton College, Oxford, for drawing their attention to the work of Andrew Abbott (Citation1988) and many discussions about the roles of para‐professionals.

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 399.00 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.