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  • Chapter 18 - Using Mathematical Models to Improve Access to Postsecondary Education

  • from Part IV - Rethinking Higher Education Admissions
  • Edited by María Elena Oliveri, Educational Testing Service, Princeton, New Jersey, Cathy Wendler, Educational Testing Service, Princeton, New Jersey
  • Book:
    Higher Education Admissions Practices
    Published online:
    09 January 2020
    Print publication:
    30 January 2020, pp 333-346

  • Summary

    This chapter proposes the use of a mathematical approach that helps support the access and diversity goals of higher education institutions while still maintaining academic standards. This approach, called constrained optimization, allows both academic requirements and other factors – race/ethnicity, income level, social status, geographic region, educational background – to be considered during the admissions process. While diversity efforts vary by country and institution, constrained optimization seeks to improve higher education access for particular groups of students. As such, this may be a useful approach for ensuring that the multiple objectives of the admissions process of any country are achieved.