Large-Scale Studies in Mathematics Education

  • James A. Middleton
  • Jinfa Cai
  • Stephen Hwang

Part of the Research in Mathematics Education book series (RME)

Table of contents

  1. Front Matter
    Pages i-xxix
  2. James A. Middleton, Jinfa Cai, Stephen Hwang
    Pages 1-13
  3. Curriculum

  4. Teaching

  5. Learning

    1. Front Matter
      Pages 177-177
    2. Peter Kloosterman, Crystal Walcott, Nathaniel J. S. Brown, Doris Mohr, Arnulfo Pérez, Shenghi Dai et al.
      Pages 179-207
    3. James A. Middleton, Brandon Helding, Colleen Megowan-Romanowicz, Yanyun Yang, Bahadir Yanik, Ahyoung Kim et al.
      Pages 265-289
  6. Methodology

About this book

Introduction

In recent years, funding agencies like the Institute of Educational Sciences and the National Science Foundation have increasingly emphasized large-scale studies with experimental and quasi-experimental designs looking for 'objective truths'. Educational researchers have recently begun to use large-scale studies to understand what really works, from developing interventions, to validation studies of the intervention, and then to efficacy studies and the final "scale-up" for large implementation of an intervention. Moreover, modeling student learning developmentally, taking into account cohort factors, issues of socioeconomics, local political context and the presence or absence of interventions requires the use of large data sets, wherein these variables can be sampled adequately and inferences made. Inroads in quantitative methods have been made in the psychometric and sociometric literatures, but these methods are not yet common knowledge in the mathematics education community. In fact, currently there is no volume devoted to discussion of issues related to large-scale studies and to report findings from them. This volume is unique as it directly discusses methodological issues in large-scale studies and reports empirical data from large-scale studies.

Keywords

Large-scale studies in mathermatics education Learning Trajectories for mathematics education effective teaching of mathematics mathematics curriculum implementation quantitative research methods standards-based curriculum for amthematics education

Editors and affiliations

  • James A. Middleton
    • 1
  • Jinfa Cai
    • 2
  • Stephen Hwang
    • 3
  1. 1.Global Institute of SustainabilityArizona State UniversityTempeUSA
  2. 2.Dept. Mathematical SciencesUniversity of DelawareNewarkUSA
  3. 3.Department of Mathematical SciencesUniversity of DelawareNewarkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-07716-1
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Humanities, Social Sciences and Law
  • Print ISBN 978-3-319-07715-4
  • Online ISBN 978-3-319-07716-1
  • About this book