Using a standardized video-based assessment in a university teacher education program to examine preservice teachers knowledge related to effective teaching
ARTICLE
Peter D. Wiens, Kevin Hessberg, Jennifer LoCasale-Crouch, Jamie DeCoster
TATE Volume 33, Number 1, ISSN 0742-051X Publisher: Elsevier Ltd
Abstract
The Video Assessment of Interactions and Learning (VAIL), a video-based assessment of teacher understanding of effective teaching strategies and behaviors, was administered to preservice teachers. Descriptive and regression analyzes were conducted to examine trends among participants and identify predictors at the individual level and program level. Results from this study demonstrate that a standardized assessment used previously with in-service teachers can be implemented in a teacher education program. Analysis shows variability in preservice abilities to detect effective teaching strategies and behaviors that is partially explained by teacher education program factors.
Citation
Wiens, P.D., Hessberg, K., LoCasale-Crouch, J. & DeCoster, J. (2013). Using a standardized video-based assessment in a university teacher education program to examine preservice teachers knowledge related to effective teaching. Teaching and Teacher Education: An International Journal of Research and Studies, 33(1), 24-33. Elsevier Ltd. Retrieved August 7, 2024 from https://www.learntechlib.org/p/132822/.
This record was imported from Teaching and Teacher Education: An International Journal of Research and Studies on January 29, 2019. Teaching and Teacher Education: An International Journal of Research and Studies is a publication of Elsevier.
Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.tate.2013.01.010Keywords
- EVALUATION METHODS
- Knowledge Base for Teaching
- Predictor Variables
- preservice teacher education
- preservice teachers
- Program Effectiveness
- Program Evaluation
- Regression (Statistics)
- student evaluation
- Teacher Education Programs
- Teacher Effectiveness
- Teacher Evaluation
- teaching methods
- trend analysis
- Video Technology