4,237
Views
57
CrossRef citations to date
0
Altmetric
Articles

Teachers’ pedagogical reasoning and action in the digital age

Pages 233-244 | Received 16 Feb 2009, Accepted 11 Sep 2009, Published online: 30 Mar 2010
 

Abstract

Beginning teachers are entering the profession with increasing confidence in their ability to use digital technologies which has the potential to change the way teachers of the future make pedagogical decisions. This paper explores how pedagogical reasoning and action might occur in the digital age, comparing Schulman’s 1987 model with the reality for a small sample of digitally able beginning teachers as part of the emerging generation of teachers. The latter were examined through a multiple case study during their first year of teaching as they made decisions about using digital technologies within their teaching practice which gave an insight into pedagogical reasoning and action through the use of open‐ended interviews and observation. The conclusion drawn is that while the pedagogical reasoning and action model remains relevant, it was based on an assumption that teaching involves knowledge being passed from a teacher to their students, which was found to restrict innovation by digitally able teachers. A broader interpretation of knowledge and teaching within this model building on emerging learning theory could help reform practice once again, providing a framework for teachers in the digital age.

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 437.00 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.