Skip to main content

Advertisement

Log in

Systematized Discrimination: Linguistic, Racial and Cultural Differences Can Equal Mathematics Success

  • Published:
The Urban Review Aims and scope Submit manuscript

Abstract

Researchers analyzed quantitative data from the Education Longitudinal Study (2002–2004) to investigate the relationship between the highest mathematics course taken and the achievement of 12th-grade students minoritized by their racial-ethnic and language backgrounds in urban schools. Employing hierarchical linear models, researchers analyzed the effects of student linguistic minority (LM) status, English-language proficiency, and school urbanicity on mathematics achievement. Findings suggest an interdependent relationship between (a) students’ English-language and racial-ethnic backgrounds, (b) college-preparatory mathematics course-taking, (c) the urban school context, and (d) mathematics achievement. Researchers suggest promising education policies and pedagogical practices for improving LMs’ inequitable achievement outcomes by maximizing students’ opportunities-to-learn in college preparatory courses and facilitating the academic language of mathematics.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. Widely cited large-scale sociological studies of immigrants using similar types of datasets have used these same self-reported English proficiency measures and find that they are relatively reliable measures of language skills (Portes & Rumbaut, 2001).

  2. The principal components analysis routine in STATA yielded the following weighted composite equation: ENG_PROF = 0.486*UNDERSTAND + 0.511*SPEAK + 0.510*READ + 0.492*WRITE. This single construct of English proficiency captured 68% of the variance in the four English-language proficiency subscales.

  3. The questionnaire weight (for F1) applies to all first follow-up respondents.

  4. We calculated the percentage of variance for individual student (level-one) and school-level (level-2) using the formula ρ = τ00 / (τ00 + σ2).

References

  • Abedi, J. (2004). The No Child Left Behind Act and English language learners: Assessment and accountability issues. American Educational Research Association, 33(1), 4–14.

    Google Scholar 

  • Abedi, J., & Gándara, P. (2006). Performance of English language learners as a subgroup in large-scale assessment: Interaction of research and policy. Educational Measurement: Issues and Practice, 25(4), 36–46. https://doi.org/10.1111/j.1745-3992.2006.00077.x

    Article  Google Scholar 

  • Adelman, C. (2006). The toolbox revisited: Paths to degree completion from high school through college. U.S. Department of Education. https://www2.ed.gov/rschstat/research/pubs/toolboxrevisit/toolbox.pdf

  • American Educational Research Association, American Psychological Association, National Council on Measurement in Education, & the Joint Committee on Standards for Educational and Psychological Testing (U.S.). (2014). Standards for educational and psychological testing.

  • Aud, S., Fox, M., & KewalRamani, A. (2010). Status and trends in the education of racial and ethnic groups (NCES 2010–015). U.S. Department of Education, National Center for Education Statistics. https://nces.ed.gov/pubs2010/2010015.pdf

  • Boykin, A. W., & Noguera, P. (2011). Creating the opportunity to learn: Moving from research to practice to close the achievement gap. Association for Supervision and Curriculum Development. ASCD.

  • Byun, S. Y., & Park, H. (2012). The academic success of East Asian American youth: The role of shadow education. Sociology of education, 85(1), 40–60.

    Article  Google Scholar 

  • Callahan, R. M., Wilkinson, L., Muller, C., & Frisco, M. (2009). ESL placement and schools: Effects on immigrant achievement. Educational Policy, 23(2), 355–384.

    Article  Google Scholar 

  • Caplan, N., Choy, M. H., & Whitmore, J. K. (1991). Children of the boat people: A study of educational success. University of Michigan Press.

    Book  Google Scholar 

  • Capraro, M. M., Capraro, R. M., & Lewis, C. (Eds.) (2013). Improving urban schools: Equity and access in K-16 STEM education for all students. Information Age.

  • Capraro, M. M., Capraro, R. M., Yetkiner, Z. E., Rangel-Chavez, A. F., & Lewis, C. W. (2010). Examining Hispanic-students mathematics performance on high-stakes tests: An examination of one urban school district in Colorado. Urban Review, 42(3), 193–209.

    Article  Google Scholar 

  • Capraro, R. M. (2006). (Decoding + chunking + comprehension) Reading aloud = mathematical fluency. Reading Psychology, 27, 91–93.

    Article  Google Scholar 

  • Capraro, R. M., Capraro, M. M., & Rupley, W. (2011). Reading enhanced word problem solving (REPS): A theoretical model. European Journal of Psychology of Education. https://doi.org/10.1007/S10212-011-0068-3

    Article  Google Scholar 

  • Capraro, R. M., Capraro, M. M., & Rupley, W. H. (2010a). Semantics and syntax: A theoretical model for how students may build mathematical mis-understandings. Journal of Mathematics Education, 3(2), 58–66.

    Google Scholar 

  • Capraro, R. M., Capraro, M. M., Rupley, W. H., & Slough, S. W. (2010b). The confluence of reading and mathematics strategies to enhance mathematical cognition. Policy Brief.

  • Capraro, R. M., Young, J. R., Woods, M., Yetkiner, Z. E., & Lewis, C. W. (2009). An examination of mathematics achievement and growth in a midwestern urban school district: Implications for teachers and administrators. Journal of Urban Mathematics Education, 2(2), 46–65.

    Google Scholar 

  • Common Core State Standards Initiative. (2020). Standards in your state. Retrieved April 27, 2020, from http://www.corestandards.org/standards-in-your-state/

  • Council of Chief State School Officers. (2012). Framework for English language proficiency development standards corresponding to the common core state standards and the next generation science standards. https://ccsso.org/sites/default/files/2017-11/ELPD%20Framework%20Booklet-Final%20for%20web.pdf

  • Darling-Hammond, L. (2010). The flat world and education: How our commitment to equity will determine our future. Teachers College Press.

    Google Scholar 

  • Durán, R. P. (2008). Assessing English-language learners’ achievement. Review of Research in Education, 32(1), 292–327.

    Article  Google Scholar 

  • Flores, A. (2007). Examining disparities in mathematics education: Achievement gap or opportunity gap? The High School Journal, 91(1), 29–42.

    Article  Google Scholar 

  • Gándara, P., & Contreras, F. (2009). The Latino education crisis: The consequences of failed social policies. Harvard University Press.

    Book  Google Scholar 

  • Gándara, P., & Orfield, G. (2010). A return to the ‘Mexican room’: The segregation of Arizona’s English learners. The Civil Rights Project / Proyecto Derechos Civiles at UCLA. https://www.civilrightsproject.ucla.edu/research/k-12-education/language-minority-students/a-return-to-the-mexican-room-the-segregation-of-arizonas-english-learners-1/gandara-return-mexican-room-2010.pdf

  • Gándara, P., Rumberger, R. W., Maxwell-Jolly, J., & Callahan, R. (2003). English language learners in California Schools: Unequal resources, unequal chances. Education Policy Analysis Archives, 11(36). https://doi.org/10.14507/epaa.v11n36.2003

  • Gifford, B., & Valdés, G. (2006). The linguistic isolation of Hispanic students in California’s public schools: The challenge of reintegration. Yearbook of the National Society for the Study of Education, 105(2), 125–154. https://doi.org/10.1111/j.1744-7984.2006.00079.x

    Article  Google Scholar 

  • Guin, K. (2004). Chronic teacher turnover in urban elementary schools. Educational Evaluation and Policy Analysis, 12(42), 1–25.

    Google Scholar 

  • Gutiérrez, R. (2002). Beyond essentialism: The complexity of language in teaching mathematics to Latina/o students. American Educational Research Journal, 39(4), 1047–1088.

    Article  Google Scholar 

  • Howard, T. C., & Milner, H. R. (2014). Teacher preparation for urban schools. In H. R. Milner & K. L. Lomotey (Eds.), Handbook of urban education (pp. 199–216). Routledge.

    Google Scholar 

  • Ingels, S. J., Pratt, D. J., Rogers, J. E., Siegel, P. H., & Stutts, E. S. (2004). Education longitudinal study of 2002: Base year data file user’s manual. U.S. Department of Education, National Center for Education Statistics.

  • Ingersoll, R. (2001). Teacher turnover and teacher shortages: An organizational analysis. American Educational Research Journal, 38(3), 499–534. https://doi.org/10.3102/00028312038003499

    Article  Google Scholar 

  • Ingersoll, R., & Merrill, E. (2013). Seven trends: The transformation of the teaching force. CPRE Report (#RR-79). Consortium for Policy Research in Education, University of Pennsylvania.

  • Ingersoll, R., & Perda, D. (2009). The mathematics and science teacher shortage: Fact and myth. Consortium for Policy Research in Education. Retrieved from https://urldefense.com/v3/. https://repository.upenn.edu/cpre_researchreports/51__;!!KwNVnqRv!Un3XZ5c4rq2OvNIvrXU36vPc049ruK5W2fLUcdyyvfXHzvfTgUIIGrhknKGYoD1$.

  • Ladson-Billings, G. (2006). From the achievement gap to the education debt: Understanding achievement in US schools. Educational Researcher., 35(7), 3–12.

    Article  Google Scholar 

  • Lee, J., & Zhou, M. (2014). From unassimilable to exceptional: The Rise of Asian Americans and ‘Stereotype Promise.’ New Diversities, 16(1), 7–22.

    Google Scholar 

  • Lee, J., & Zhou, M. (2015). The Asian American achievement paradox. Russell Sage Foundation.

    Google Scholar 

  • Lee, O., Quinn, H., & Valdes, G. (2013). Science and language for English language learners in relation to next generation science standards and with implications for Common Core State Standards for English language arts and mathematics. Educational Researcher, 42(4), 223–233.

    Article  Google Scholar 

  • Maldonado, S. I., Mosqueda, E., Capraro, R., & Capraro, M. M. (2018). Language minority students’ mathematics achievement in urban schools: Coursework, race-ethnicity, and English-language proficiency. Perspectives in Urban Education, 15(1), 1–9.

    Google Scholar 

  • Martiniello, M. (2008). Language and the performance of English language learners in math word problems. Harvard Educational Review, 78(2), 333–368.

    Article  Google Scholar 

  • Matteson, S. (2006). Mathematical literacy and standardized mathematical assessments. Reading Psychology, 27(2 & 3), 205–233. https://doi.org/10.1080/02702710600642491

    Article  Google Scholar 

  • McFarland, J., Hussar, B., Zhang, J., Wang, X., Wang, K., Hein, S., Diliberti, M., Forrest Cataldi, E., Bullock Mann, F., & Barmer, A. (2019). The condition of education 2019. U.S. Department of Education, National Center for Education Statistics.

  • Milner, H. R. (2012a). But what is urban education? Urban Education, 47(3), 556–561.

    Article  Google Scholar 

  • Milner, H. R. (2012b). Understanding urban education from the outside in and inside out. Urban Education, 47(6), 1019–1024.

    Article  Google Scholar 

  • Milner, H. R., Murray, I. E., Farinde, A. A., & Delale-O’Connor, L. (2015). Outside of school matters: What we need to know in urban environments. Equity & Excellence in Education, 48(4), 529–548. https://doi.org/10.1080/10665684.2015.1085798

    Article  Google Scholar 

  • Moldavan, A. M., Capraro, R. M., & Capraro, M. M. (2021). Navigating (and disrupting) the digital divide: Urban teachers’ perspectives on secondary mathematics instruction during COVID-19". Urban Review. https://doi.org/10.1007/s11256-021-00611-4

    Article  Google Scholar 

  • Mosqueda, E. (2010). Compounding inequalities: English proficiency and tracking and their relation to mathematics performance among Latina/o secondary school youth. Journal of Urban Mathematics Education, 3(1), 57–81.

    Google Scholar 

  • Mosqueda, E., & Maldonado, S. I. (2013a). The effects of English language Proficiency and curricular pathways: Latina/os’ mathematics achievement in secondary schools. Equity & Excellence in Education, 46(2), 202–219.

    Article  Google Scholar 

  • Mosqueda, E., & Maldonado, S. I. (2013b). Racial and linguistic achievement disparities: Mathematics course-taking in urban school contexts. In M. M. Capraro, R. Capraro & C. Lewis, Improving urban schools: Equity and access in K-16 STEM education for all students. Information Age Publishing.

  • Mosqueda, E., & Maldonado, S. I. (2020). Using large-scale datasets to amplify equitable learning in urban mathematics. Journal of Urban Mathematics Education, 13(2), 26–41.

    Google Scholar 

  • Mosqueda, E., Bravo, M., Solís, J. A., & Maldonado, S. I. (2021). Assessing emergent bilingual learners’ mathematical biliteracy: Authentic mathematics writing assessment system. In M. Machado-Casas, S. I. Maldonado, & B. Bustos Flores (Eds.), Evaluating bilingual education programs: Assessing students’ bilingualism, biliteracy and sociocultural competence. Peter Lang.

    Google Scholar 

  • Museus, S. D. (2013). Unpacking the complex and multifaceted nature of parental influences on Southeast Asian American college students’ educational trajectories. The Journal of Higher Education, 84(5), 708–738. https://doi.org/10.1080/00221546.2013.11777306

    Article  Google Scholar 

  • National Research Council. (2001). Adding it up: Helping children learn mathematics. National Academies Press.

  • Ng, J., & Kelli, T. (2007). Cultivating the cream of the crop: A case study of urban teachers from an alternative teacher education program. Action in Teacher Education, 29(1), 3–19.

    Article  Google Scholar 

  • Noguera, P. A. (2003). City schools and the American dream. Teachers College Press.

  • Noguera, P. A. (2017). Introduction to “Racial inequality and education: Patterns and prospects for the future.” Educational Forum, 81(2), 129–135.

  • Oakes, J., Rogers, J., Silver, D., Horng, E., & Goode, J. (2004). Separate and unequal 50 years after Brown: California's racial opportunity gap. UCLA Institute for Democracy, Education, and Access.

  • Oseguera, L., Conchas, G. Q., & Mosqueda, E. (2010). Beyond family and ethnic culture: Understanding the preconditions for the potential realization of social capital (pp. 1–31). Youth & Society.

    Google Scholar 

  • Portes, A., & Rumbaut, R. G. (2001). Legacies: The story of the immigrant second generation. Russell Sage Foundation.

    Google Scholar 

  • Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Sage.

    Google Scholar 

  • Ronfeldt, M., Loeb, S., & Wyckoff, J. (2013). How teacher turnover harms student achievement. American Educational Research Journal, 50(1), 4–36. https://doi.org/10.3102/0002831212463813

    Article  Google Scholar 

  • Rousseau Anderson, C., & Tate, W. (2008). Still separate, still unequal: Democratic access to mathematics in US schools. In L. English (Ed.), Handbook of international research in mathematics education (pp. 299–318). Routledge.

    Google Scholar 

  • Ruiz-de-Velasco, J., & Fix, M. (2000). Overlooked & underserved: Immigrant students in U.S. secondary schools. Urban Institute.

  • Rumberger, R. W., & Palardy, G. J. (2005). Does segregation still matter? The impact of social composition on academic achievement in high school. Teachers College Record, 107(9), 1999–2045.

    Article  Google Scholar 

  • Schleppegrell, M. J. (2004). The language of schooling: A functional linguistics approach. Erlbaum.

    Book  Google Scholar 

  • Schneider, B., & Lee, Y. (1990). A model for academic success: The school and home environment of East Asian students. Anthropology & Education Quarterly, 21(4), 358–377.

    Article  Google Scholar 

  • Solano-Flores, G. (2008). Language, dialect, and register: Sociolinguistics and the estimation of measurement error in the testing of English language learners. Teachers College Record, 108(11), 2354–2379. https://doi.org/10.1111/j.1467-9620.2006.00785.x

    Article  Google Scholar 

  • Stevens, F. I. (1993). Opportunity to learn (OTL): Issues of equity for poor and minority students. U.S. Department of Education, National Center for Education Statistics.

  • Tate, W. (2001). Science education as a Civil Right: Urban schools and opportunity-to-learn considerations. Journal of Research in Science Teaching, 38(9), 1015–1028. https://doi.org/10.1002/tea.1045

    Article  Google Scholar 

  • Téllez, K., & Mosqueda, E. (2015). Developing teachers’ knowledge and skills at the intersection of language learners and language assessment. Review of Research in Education, 39(1), 87–131. https://doi.org/10.3102/0091732X14554552

    Article  Google Scholar 

  • Tellez, K., Moschkovich, J., & Civil, M. (2011). Latinos/as and mathematics education: Research on learning and teaching in classrooms and communities. Information Age Publishing.

    Google Scholar 

  • Trumbull, E., & Solano-Flores, G. (2011). Addressing the language demands of mathematics assessments a language framework and field research findings. In M. R. Basterra, E. Trumbull, & G. Solano-Flores (Eds.), Cultural validity in assessment: Addressing linguistic and cultural diversity (pp. 218–253). Routledge.

    Google Scholar 

  • United States Department of Education. (2011). National assessment of educational progress. http://nces.ed.gov/nationsreportcard/studies/gaps/

  • Valdés, G., Bunch, G., Snow, C., Lee, C., & Mathos, L. (2005). Enhancing the development of students’ language(s). In L. Darling-Hammond & J. Bransford (Eds.), Preparing teachers for a changing world: What teachers should learn and be able to do. Jossey-Bass.

    Google Scholar 

  • Valencia, R. R. (Ed.). (2002). Chicano school failure and success: Past, present, and future (2nd ed.). Routledge.

    Google Scholar 

  • Walqui, A., & Bunch, G. C. (2019). Amplifying the curriculum: Designing quality learning opportunities for english learners. Teachers College Press.

    Google Scholar 

  • Welsh, R. O., & Swain, W. A. (2020). (Re)Defining urban education: A conceptual review and empirical exploration of the definition of urban education. Educational Researcher, 49(2), 90–100.

    Article  Google Scholar 

  • Wilkins, A., & Education Trust Staff. (2006). Yes we can: Telling truths and dispelling myths about race and education in America. The Education Trust. https://edtrust.org/wp-content/uploads/2013/10/YesWeCan.pdf

  • Wong-Fillmore, L. (2007). English learners and mathematics learning: Language issues to consider. In A. H. Schoenfeld (Ed.), Assessing mathematical proficiency (pp. 333–344). Cambridge University Press.

    Chapter  Google Scholar 

  • Zhou, M., & Kim, S. S. (2006). Community forces, social capital, and educational achievement: The case of supplementary education in the Chinese and Korean immigrant communities. Harvard Educational Review., 76(1), 1–29. https://doi.org/10.17763/haer.76.1.u08t548554882

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mary M. Capraro.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mosqueda, E., Maldonado, S.I., Capraro, M.M. et al. Systematized Discrimination: Linguistic, Racial and Cultural Differences Can Equal Mathematics Success. Urban Rev 54, 428–449 (2022). https://doi.org/10.1007/s11256-021-00620-3

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11256-021-00620-3

Keywords

Navigation