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Author ORCID Identifier
N/A
AccessType
Open Access Dissertation
Document Type
dissertation
Degree Name
Doctor of Philosophy (PhD)
Degree Program
Education
Year Degree Awarded
2017
Month Degree Awarded
May
First Advisor
Kathryn McDermott
Second Advisor
Lisa Keller
Third Advisor
Linda Tropp
Subject Categories
Elementary Education and Teaching | Teacher Education and Professional Development
Abstract
Research Goals/Questions Colleges of Education, through educator preparation programs, have applied a scattershot approach to addressing diversity through multicultural teacher education programs. These programs have not been shown to reduce bias levels in pre-service teachers and are not systematic or uniform. (King & Butler, 2015). This study focuses on an alternative approach to preparing pre-service teachers to work with diverse populations. It measured the levels of implicit bias in a sample population of pre-service teachers and attempt to reduce their implicit bias levels. The aim of the dissertation was to answer the following questions:
- Can a brief, computer-based intervention decrease the level of implicit bias and increase awareness of bias in preservice teachers?
- How does receiving their IAT scores affect preservice teachers’ experience with an intervention about implicit bias?
- What can be learned from the implementation of an intervention in this setting that could be integrated in the larger context of Teacher Education?
- In what ways can the interview data reporting on participants’ perceptions of the intervention help explain the quantitative results of the Implicit Association Test.
- What can survey questions and open responses reveal about preservice teachers’ awareness of their own bias before and after a brief computer based intervention?
DOI
https://doi.org/10.7275/9969247.0
Recommended Citation
Pepis, Tara, "Implicit Bias in Pre-Service Teachers: A Mixed Methods Approach" (2017). Doctoral Dissertations. 959.
https://doi.org/10.7275/9969247.0
https://scholarworks.umass.edu/dissertations_2/959