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Cited by 281

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

A Framework for the Facilitation of Teachers’ Analysis of Video

van Es, Elizabeth A., Tunney, Jessica, Goldsmith, Lynn T., Seago, Nanette·2014·Journal of Teacher Education

Abstract

Video is being used more widely in professional development to help teachers learn to notice and systematically analyze teaching practice. Video captures the authenticity and complexity of teaching and can promote the examination of classroom interactions in a deliberate and focused way. However, simply viewing video does not ensure teacher learning. An important question concerns how to facilitate substantive analysis of teaching practice with video so that it becomes a productive learning tool for teachers. In this study, we examine the in-the-moment moves facilitators make in two different video-based professional development programs to offer a framework for facilitation with video. We then examine patterns in facilitation across both contexts and identify practices that are unique to the goals of each setting. The findings from this study have implications for the design of video-based professional development and for developing a knowledge base for professional education.

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Metadata

Authors
van Es, E. A., Tunney, J., Goldsmith, L. T., & Seago, N.
Venue
Journal of Teacher Education
Published
2014-05-06
Volume
65
Issue
4
Pages
340-356
ISSN
  • 0022-4871 (ISSN-L)
  • 1552-7816
OpenAlex
W2108352469
Cited by
281
References
7
FWCI
97.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Framework for the Facilitation of Teachers’ Analysis of Video. https://app.cochat.ai/papers/10.1177/0022487114534266
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van Es, E. A., Tunney, J., Goldsmith, L. T., & Seago, N. (2014). A Framework for the Facilitation of Teachers’ Analysis of Video. Journal of Teacher Education. https://doi.org/10.1177/0022487114534266

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.