Using Large-Scale Datasets to Amplify Equitable Learning in Urban Mathematics-Reference-Cited by-同舟云学术

Using Large-Scale Datasets to Amplify Equitable Learning in Urban Mathematics

Published:2020-11-13 Issue:2 Volume:13 Page:
ISSN:2151-2612
Container-title:Journal of Urban Mathematics Education
language:
Short-container-title:JUME

Author:

Mosqueda Eduardo^ORCID,Maldonado Saúl I.^ORCID

Abstract

Our purpose in this article was to provide researchers using NCES datasets to analyze secondary students’ mathematics achievement in urban schools with methodological considerations and analytical suggestions. We are hopeful that researchers interested in students’ mathematics achievement in urban schools will consider accessing and using NCES studies to deepen our collective understanding beyond IES summary statistics featured in reports such as NAEP and TIMMS and tables from The Condition of Education. We believe that studies of large-scale data that are attentive to the methodological considerations of complex sampling, data clustering and causal inference, will contribute nuanced perspectives of promising policy and practice directions for improving disparities in urban secondary school students’ inequitable mathematics achievement outcomes.

Publisher

Texas A&M University Libraries

Subject

General Mathematics,Education

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