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The Classroom and the Yard: The Contrasting Context of Prison Higher Education and Its Role in Racial Bias Mitigation

Published online by Cambridge University Press:  01 July 2025

Meredith Sadin*
Affiliation:
University of California, Berkeley, CA, USA
Amy E. Lerman
Affiliation:
University of California, Berkeley, CA, USA
Ben J. Fils
Affiliation:
University of California, Berkeley, CA, USA
*
Corresponding author: Meredith Sadin; Email: msadin@berkeley.edu
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Abstract

Prison has long been recognized as a racialized institution in America, where race determines myriad aspects of life—from where individuals sleep to those with whom they live, eat, and socialize during incarceration. However, there is little evidence on how to effectively remediate prisons’ deep racial divisions—a question that is imperative given that interracial animus in prisons can be both a result and a determinant of racial conflict and violence. In this study, we argue that higher education in prison has significant potential to improve racial attitudes and foster racial integration by providing a “contrasting context” for interracial interaction in the classroom within an otherwise racially segregated institution. Using administrative data on college-level course completion, an original longitudinal survey of prison college students, and in-depth qualitative interviews with prison college alumni, we show evidence of shifts in racial attitudes and self-reported behavior as students move through their college career. Our results demonstrate the potential for prison higher education to shift race-based norms and offer a framework through which to analyze prison education that prioritizes outcomes of interest beyond recidivism.

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Articles
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of American Bar Foundation
Figure 0

Table 1. Scope conditions to reduce bias in intergroup contact

Figure 1

Table 2. Survey questions

Figure 2

Figure 1. Prison college students’ racial integration by student group (between subjects)Notes: The graph provides the mean for each racial integration survey item by student group (the black bar indicates the mean per survey item waitlisted students, the dark gray bar represents new students that have taken 1-4 classes and the light gray bar represents more experienced students that have taken 5 or more classes). Each survey item is coded 0 or 1, with 1 being more positive. For the first survey item, 0 = less than 5; 1 = 5 or more. For the second item, 1 = agree or strongly agree on a 5-point Likert scale, while 0 indexes all other responses. The statistical significance with respect to differences across student groups is calculated using post-hoc Tukey tests. Sample sizes varied by question due to missing responses. From left to right, the sample sizes are n = (112, 65, 130) and n = (109, 65, 130). p < 0.1, * p < 0.05, ** p<0.01, *** p < 0.001.

Figure 3

Figure 2. Prison college students’ racial attitudes by student groupNotes: The bar graph provides the mean for each racial attitude survey item by student group (the black bar indicates the mean per survey item waitlisted students, the dark gray bar represents new students that have taken 1–4 classes, and the light gray bar represents more experienced students that have taken 5 or more classes). Each survey item is coded either 0 or 1, with 1 being more positive. For each of these items, 1 indexes “strongly agree” on a 5-point Likert scale, while 0 indexes all other responses. The statistical significance with respect to differences across student groups is calculated using post-hoc Tukey tests. Sample sizes varied by question due to missing responses. From left to right, the sample sizes are n = (113, 66, 133), n = (114, 66, 133), and n = (113, 66, 133). † p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001.

Figure 4

Table 3. Models predicting racial integration for white and non-white students

Figure 5

Table 4. Models predicting racial attitudes for white and non-white students

Figure 6

Table 5. Racial integration models for younger and older students

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Table 6. Racial attitudes models for younger and older students

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