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The Framework for Analyzing Video in Science Teacher Education (FAVSTE)

Authors :
Forsythe, Michelle E.
Criswell, Brett A.
Arias, Anna Maria
Ellis, Joshua A.
Escalada, Lawrence
Johnson, Heather J.
Palmeri, Amy B.
Riccio, Jessica
Parker, Margaret E.
Source :
Journal of Science Teacher Education. 2022 33(6):621-640.
Publication Year :
2022

Abstract

Engaging preservice teachers in the analysis of videos of teaching has become a widely-used and highly-regarded approach within teacher preparation. This approach has become even more pronounced in the wake of COVID-19. Despite the myriad ways that video can support teacher preparation, uncertainties remain regarding how to design and facilitate productive video tasks. This paper reviews existing frameworks to guide the use of video tasks. It then introduces and describes the Framework for Analyzing Video in Science Teacher Education (FAVSTE) to highlight important decision points regarding the implementation of video tasks for teacher educators. Further this paper discusses how the FAVSTE connects to and expands on existing frameworks. Finally, the paper provides two examples to illustrate its use so that it might support teacher educators in maximizing the effectiveness of video analysis/reflection tasks.

Details

Language :
English
ISSN :
1046-560X and 1573-1847
Volume :
33
Issue :
6
Database :
ERIC
Journal :
Journal of Science Teacher Education
Publication Type :
Academic Journal
Accession number :
EJ1365816
Document Type :
Journal Articles<br />Reports - Descriptive
Full Text :
https://doi.org/10.1080/1046560X.2021.1970698