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Double jeopardy? Examining the influence of mathematics tracking on in‐school suspensions through an intersectionality framework.

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Title: Double jeopardy? Examining the influence of mathematics tracking on in‐school suspensions through an intersectionality framework.
Authors: Edosomwan, Kristian1 (AUTHOR) k.edosomwan@tamu.edu, Williams, John A.1 (AUTHOR)
Source: School Science & Mathematics. Apr2024, Vol. 124 Issue 2, p72-84. 13p.
Subject Terms: *School dropouts, Tracking algorithms, Race identity, Race, Mathematics, Intersectionality, Research questions
Abstract: Research has proven that when students are tracked and experience some form of exclusionary discipline, their risk of dropping out of school increases significantly. These effects are compounded for students from low socioeconomic households and students of color. However, there exists a gap in the literature concerning how tracking in specific subjects (mathematics) can influence disciplinary outcomes for students. This study uses the theoretical framework of intersectionality to examine the influence of mathematics tracking while taking into consideration students' identity (socioeconomic status, race/ethnicity, and gender), on their likelihood of receiving an in‐school suspension (ISS). To examine the effects, we asked the research question: Does tracking in mathematics influence the likelihood of students receiving an ISS in the eleventh grade based on their race/ethnicity, gender, and SES identity? Using both logistic regressions with a reference group and single group, we found that enrollment in a non‐advanced course in the eleventh grade for Asian boys and girls, Latinx girls, multiracial boys and girls, and White boys and girls increased ISS odds more than their racial and SES identity. This study concludes with recommendations for educators seeking to eliminate tracking in secondary schools. [ABSTRACT FROM AUTHOR]
Copyright of School Science & Mathematics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Double jeopardy? Examining the influence of mathematics tracking on in‐school suspensions through an intersectionality framework.
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  Data: <searchLink fieldCode="AR" term="%22Edosomwan%2C+Kristian%22">Edosomwan, Kristian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> k.edosomwan@tamu.edu</i><br /><searchLink fieldCode="AR" term="%22Williams%2C+John+A%2E%22">Williams, John A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22School+Science+%26+Mathematics%22">School Science & Mathematics</searchLink>. Apr2024, Vol. 124 Issue 2, p72-84. 13p.
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  Data: *<searchLink fieldCode="DE" term="%22School+dropouts%22">School dropouts</searchLink><br /><searchLink fieldCode="DE" term="%22Tracking+algorithms%22">Tracking algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Race+identity%22">Race identity</searchLink><br /><searchLink fieldCode="DE" term="%22Race%22">Race</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics%22">Mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Intersectionality%22">Intersectionality</searchLink><br /><searchLink fieldCode="DE" term="%22Research+questions%22">Research questions</searchLink>
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  Label: Abstract
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  Data: Research has proven that when students are tracked and experience some form of exclusionary discipline, their risk of dropping out of school increases significantly. These effects are compounded for students from low socioeconomic households and students of color. However, there exists a gap in the literature concerning how tracking in specific subjects (mathematics) can influence disciplinary outcomes for students. This study uses the theoretical framework of intersectionality to examine the influence of mathematics tracking while taking into consideration students' identity (socioeconomic status, race/ethnicity, and gender), on their likelihood of receiving an in‐school suspension (ISS). To examine the effects, we asked the research question: Does tracking in mathematics influence the likelihood of students receiving an ISS in the eleventh grade based on their race/ethnicity, gender, and SES identity? Using both logistic regressions with a reference group and single group, we found that enrollment in a non‐advanced course in the eleventh grade for Asian boys and girls, Latinx girls, multiracial boys and girls, and White boys and girls increased ISS odds more than their racial and SES identity. This study concludes with recommendations for educators seeking to eliminate tracking in secondary schools. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of School Science & Mathematics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/ssm.12607
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        Text: English
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        Type: general
      – SubjectFull: Tracking algorithms
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      – SubjectFull: Race identity
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              Text: Apr2024
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