{"title":"低收入有色人种学生在初中和高中学习高等数学的轨迹","authors":"Courtney Ricciardi , Adam Winsler","doi":"10.1016/j.cedpsych.2024.102312","DOIUrl":null,"url":null,"abstract":"<div><p>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 (<em>N</em> = 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.</p></div>","PeriodicalId":10635,"journal":{"name":"Contemporary Educational Psychology","volume":null,"pages":null},"PeriodicalIF":3.9000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Trajectories of advanced math taking for low-income students of color in middle and high school\",\"authors\":\"Courtney Ricciardi , Adam Winsler\",\"doi\":\"10.1016/j.cedpsych.2024.102312\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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 (<em>N</em> = 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.</p></div>\",\"PeriodicalId\":10635,\"journal\":{\"name\":\"Contemporary Educational Psychology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Contemporary Educational Psychology\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0361476X24000572\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, EDUCATIONAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Contemporary Educational Psychology","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0361476X24000572","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, EDUCATIONAL","Score":null,"Total":0}
Trajectories of advanced math taking for low-income students of color in middle and high school
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.
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.