Trajectories of advanced math taking for low-income students of color in middle and high school

IF 3.9 1区 心理学 Q1 PSYCHOLOGY, EDUCATIONAL Contemporary Educational Psychology Pub Date : 2024-09-11 DOI:10.1016/j.cedpsych.2024.102312
Courtney Ricciardi , Adam Winsler
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Abstract

Differential access to and enrollment in advanced mathematics for historically underrepresented groups is a pervasive problem in education, however, research has primarily focused on achievement rather than access. This necessitates an examination of who is accessing advanced coursework and what differentiates the course trajectories students follow across middle and high school. We utilized data from a large (N = 18,841), majority Latinx (57.6 % Latinx, 35.5 % Black, 6.1 % White/Other, and 0.6 % Asian/Pacific Islander) and low-income (77 % free/reduced-price lunch) sample of students followed longitudinally from middle through high school. Latent class analysis (LCA) categorized students into 6 classes representing commonly followed pathways of advanced math course taking from grade 6 to 12. Multinomial logistic regression was used to connect individual demographics, school readiness skills, and prior achievement variables to the likelihood of being assigned to a particular class. Prior academic performance was most strongly related to advanced math pathway assignment, but even controlling for this, gender, disability status, and cognitive and fine motor skills at age 4 also impacted the math pathway a student was likely to follow in middle and high school. Race/ethnicity was a significant differentiator only when comparing the two most advanced pathways. These findings highlight the importance of early school readiness skills and demonstrate how early opportunity gaps impact later student outcomes. Tailored intervention and supports are necessary to ensure equitable access to coursework which expands a student’s opportunities and chances for postsecondary success.

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低收入有色人种学生在初中和高中学习高等数学的轨迹
历史上未被充分代表的群体在学习和注册高等数学方面的差异是教育中普遍存在的问题,然而,研究主要集中在成绩而不是学习机会上。因此,我们有必要研究哪些学生可以学习高等数学课程,以及学生在初中和高中阶段的学习轨迹有何不同。我们利用了一个大型(N = 18,841)、拉丁裔占多数(拉丁裔占 57.6%,黑人占 35.5%,白人/其他族裔占 6.1%,亚洲/太平洋岛民占 0.6%)和低收入(免费/减价午餐占 77%)学生样本的数据,从初中到高中进行了纵向跟踪。潜类分析(LCA)将学生分为 6 个类别,代表了从 6 年级到 12 年级选修高等数学课程的常见途径。多项式逻辑回归用于将个人人口统计学、入学准备技能和先前成绩变量与被分配到特定班级的可能性联系起来。以前的学业成绩与高等数学路径分配的关系最为密切,但即使控制了这一点,性别、残疾状况以及 4 岁时的认知和精细动作技能也会影响学生在初中和高中可能选择的数学路径。只有在比较两种最先进的路径时,种族/民族才是一个重要的区分因素。这些发现强调了早期入学准备技能的重要性,并说明了早期机会差距如何影响学生日后的学习成绩。有必要进行有针对性的干预和支持,以确保公平地获得课程,从而扩大学生的机会和中学后的成功机会。
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来源期刊
Contemporary Educational Psychology
Contemporary Educational Psychology PSYCHOLOGY, EDUCATIONAL-
CiteScore
16.50
自引率
3.90%
发文量
74
期刊介绍: Contemporary Educational Psychology is a scholarly journal that publishes empirical research from various parts of the world. The research aims to substantially advance, extend, or re-envision the ongoing discourse in educational psychology research and practice. To be considered for publication, manuscripts must be well-grounded in a comprehensive theoretical and empirical framework. This framework should raise critical and timely questions that educational psychology currently faces. Additionally, the questions asked should be closely related to the chosen methodological approach, and the authors should provide actionable implications for education research and practice. The journal seeks to publish manuscripts that offer cutting-edge theoretical and methodological perspectives on critical and timely education questions. The journal is abstracted and indexed in various databases, including Contents Pages in Education, Australian Educational Index, Current Contents, EBSCOhost, Education Index, ERA, PsycINFO, Sociology of Education Abstracts, PubMed/Medline, BIOSIS Previews, and others.
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