281
Views
7
CrossRef citations to date
0
Altmetric
Original Articles

Supporting higher levels of reflection among teacher candidates: a pedagogical framework

&
Pages 275-290 | Published online: 24 Jan 2007
 

Abstract

An integrated mathematics and science methods course was designed to focus on the knowledge, skills, and beliefs of teacher candidates. Teacher candidates were involved in experiences that would prompt them to consider the influence of their experiences on their beliefs, the influence of their beliefs on their instructional decisions and the impact of those decisions on their effectiveness as teachers. Three teacher candidates who exhibited high levels of reflection and who made significant changes in the ways that they thought about mathematics and the teaching/learning process were chosen for study. Two themes related to this cognitive change emerged: a more complex, sophisticated understanding of the nature of mathematics; and an increased focus on children's thinking to guide instruction. Three program components having a major impact on these students' reconceptualization were reflection on past experiences, engagement in mathematical problem‐solving and opportunities to act on new beliefs.

Notes

* Corresponding author: Elon University, CB 2105 Elon, North Carolina, USA. Email: [email protected]

Additional information

Notes on contributors

Deborah Thurlow Long Footnote*

* Corresponding author: Elon University, CB 2105 Elon, North Carolina, USA. Email: [email protected]

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.