328
Views
8
CrossRef citations to date
0
Altmetric
Articles

How pre-service teachers internalize the link between research literacy and pedagogy

ORCID Icon &
Pages 63-76 | Received 22 Jan 2017, Accepted 02 Apr 2017, Published online: 08 May 2017
 

ABSTRACT

Enabling pre-service teachers to develop a critical view of their practice and to acquire the higher order inquiry skills necessary for pedagogic research has been and continues to be a challenge. The present study presents a unique intervention in the training of pre-service teachers in research literacy (RL) skills using a Problem Based Learning (PBL) approach. The intervention is implemented in two different Learning Communities (LC), one online and the other blended. Both immediate and long-term effects of PBL are investigated as are the effects of social and direct scaffolding within the LCs. The study focuses on transmitting the following RL skills: identifying and defining a problem, formulating a research question, and designing a research method. The findings indicate an immediate effect upon all RL skills in both LCs. The long-term effect appears only in the online LC and only for two RL skills: identifying and defining problems. Additionally, there is greater use of social scaffolding in formulating and designing a research study in the online LC than in the blended learning community. Those findings are then interpreted in terms of retention capacity and scaffolding in blended and online LCs.

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 325.00 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.