“This Kind of Technology Can… Treat Students Like Threats”: Black Youth Experiences, Reflections, and Articulations of Digital Discipline Under the New Jim Code

Believed by many to be the “silver bullet” that will bring an end to educational inequality, AI technologies continue to proliferate within schools and classrooms, promising to bolster academic achievement, spark student engagement, and ensure campus safety while lessening the burden of overworked and systemically underpaid teachers. Despite this hype, a growing body of critical research is revealing that many of the AI technologies used in schools are rife with algorithmic biases that exacerbate, rather than remediate, educational inequity for historically marginalized students. We extend the work of scholars who have called attention to the rise of tech-mediated racism and the New Jim Code to consider how the proliferation of AI technologies into K-12 schools has worked to hide, speed up, and automate educational inequities for Black students, giving rise to a techno-educational carceral apparatus. To do so, we analyze youth interviews, youth-generated video blogs, and weekly journal reflections of 46 Black students that participated in a critical technology summer course.

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Publication Details

Journal
Youth
Published
2026-01-30
DOI
https://doi.org/10.3390/youth6010012
Primary Topic
Critical Race Theory in Education
Type
article
Field-Weighted Citation Impact
0.00
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article

“This Kind of Technology Can… Treat Students Like Threats”: Black Youth Experiences, Reflections, and Articulations of Digital Discipline Under the New Jim Code

Brian Cabral, Tiera Tanksley
Youth
Critical Race Theory in Education
article

“This Kind of Technology Can… Treat Students Like Threats”: Black Youth Experiences, Reflections, and Articulations of Digital Discipline Under the New Jim Code

Brian Cabral, Tiera Tanksley
article en

Abstract

Believed by many to be the “silver bullet” that will bring an end to educational inequality, AI technologies continue to proliferate within schools and classrooms, promising to bolster academic achievement, spark student engagement, and ensure campus safety while lessening the burden of overworked and systemically underpaid teachers. Despite this hype, a growing body of critical research is revealing that many of the AI technologies used in schools are rife with algorithmic biases that exacerbate, rather than remediate, educational inequity for historically marginalized students. We extend the work of scholars who have called attention to the rise of tech-mediated racism and the New Jim Code to consider how the proliferation of AI technologies into K-12 schools has worked to hide, speed up, and automate educational inequities for Black students, giving rise to a techno-educational carceral apparatus. To do so, we analyze youth interviews, youth-generated video blogs, and weekly journal reflections of 46 Black students that participated in a critical technology summer course.

YouthVol. 6(1)
Austin College (US), Center for Inquiry (US), The University of Texas at Austin (US)
Reduced inequalities
Openalex Percentile: Top 76%
Critical Race Theory in Education
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