When College and High School Collide in the Anti-CRT Era: Exploring the Potential for Racial Truth-Telling in Dual Enrollment
Principal Investigator(s): View help for Principal Investigator(s) Julia Duncheon, University of Washington
Version: View help for Version V1
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Project Citation:
Duncheon, Julia. When College and High School Collide in the Anti-CRT Era: Exploring the Potential for Racial Truth-Telling in Dual Enrollment. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-05-23. https://doi.org/10.3886/E230961V1
Project Description
Summary:
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K-12 teachers have become targets of political censorship in many states, with anti-CRT laws designed to eliminate racial truth-telling, or curricular content related to race and racism. Higher education has been targeted as well, most recently with anti-DEI initiatives, but college professors generally retain more curricular autonomy than their high school counterparts. As such, dual enrollment (DE)--college coursework delivered to high school students through a partnering postsecondary institution--may provide an avenue for students to learn about race and racism. Through the lens of racialized organizations, this study uses case study methodology to explore how a community college in Texas constrains or enables racial truth-telling in its DE courses. The findings show how the college's ostensibly race-neutral response to K-12 curricular censorship placed the burden to defend racial truth-telling on individual DE faculty, with implications for their ability to do it. The paper closes with recommendations for policy and practice.
Funding Sources:
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Spencer Foundation (202000144)
Scope of Project
Subject Terms:
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dual enrollment;
racialized organizations
Geographic Coverage:
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Texas
Time Period(s):
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2021 – 2024
Collection Date(s):
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2021 – 2024
Universe:
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Community college faculty and administrators
Data Type(s):
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observational data;
other
Methodology
Sampling:
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Focal sample of 12 faculty and 6 administrators out of larger sample of 42 faculty and 11 staff (N=53)
Data Source:
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One community college district in Texas
Collection Mode(s):
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coded on-site observation;
face-to-face interview;
other
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