386
Views
8
CrossRef citations to date
0
Altmetric
Original Article

Feeding back the results of dynamic assessment to the child

, , &
Pages 346-353 | Published online: 03 Jul 2009
 

Abstract

The primary objective of this research study was to investigate the perceived effects of feeding back the results of dynamic assessment to the child verbally and through the medium of video. Fourteen children, aged 6 – 11 years, and their class teachers were involved in the research. The children and teachers were interviewed prior to the DA session, and then again approximately 6 weeks after a feedback session. Thematic analysis was undertaken for coding and interpreting primary data, using both a computer software package QSR NVivo 7 and manual methods of sorting and categorizing. Results demonstrated that feeding back the results of dynamic assessment to the child led to perceptions of positive change from both teachers and children, and that using video to feedback is particularly helpful. A number of methodological strengths and weaknesses are discussed, and implications for practice are explored. Further research, building on this study, could explore the outcomes of the educational psychologist consulting with the child about their perceptions of the support they require, rather than only feeding back assessment results to them. This could lead to the child being involved at the start of the assessment and intervention cycle, leading to their greater engagement with the change process.

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 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 294.00 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.