Publication Cover
Reflective Practice
International and Multidisciplinary Perspectives
Volume 18, 2017 - Issue 1
754
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

Using video-supported reflection in peer groups to increase instructional effectiveness

Pages 94-111 | Received 05 May 2016, Accepted 19 Sep 2016, Published online: 10 Jan 2017
 

Abstract

This article reports upon the findings of research that explored change in teachers’ reflective thought and practice on a core set of complex teaching practices after the teachers participated in video-supported reflection model. Five 4th–7th grade teachers participated in the model that paired video-supported collaborative reflection with a research-based observation instrument, Classroom Assessment Scoring System (CLASS). Classroom observation data was collected by video and scored to determine change in teaching practice. All video-supported collaborative dialogue sessions between peers were videotaped and transcribed. Findings point to the developmental process necessary when learning to critically reflect upon and enact complex instructional practices that are not already prominent in practice. Individual development of practice progressed as the collaborative dialogue group expanded their capacity for describing, understanding, and evaluating practice based upon a new schema of effective practice, intentionally enacting change resulting in significant increases in teacher performance.

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 347.00 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.