1,181
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Evolving Tools for Information Literacy from Models of Information Behavior

&
Pages 27-46 | Published online: 23 Mar 2012
 

Abstract

Although models are often assumed to constitute the end product of a research project, it is not unusual for them to be refined after subsequent study or thought. Having presented a model of young people's information behavior in a previous paper elsewhere, the authors here offer a more compact version and explore the possibilities for its application in a teaching context with pupils. Use of models in this way can play an important part in reducing the longstanding gap between information-seeking research and information literacy instruction. Drawing inspiration from earlier work undertaken by Shenton with Masters students at Northumbria University, the authors demonstrate how it is possible to evolve from such models pro formas that can be completed by pupils to help them in relation to their own information-seeking activity. Shenton and Hay-Gibson feature here one such pro forma, intended for use by secondary schoolers. They discuss its value in promoting metacognition and indicate how this type of tool may be introduced at one of various points in an assignment task: in advance (as a pupil planning aid), while the activity is taking place (so as to guide information-seeking as it happens) or at the end (to aid summative reflection).

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 356.00 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.