Randomized Controlled Trial.pdf

multiple-measures-placement-using-data-analytics.pdf
Preview of randomized controlled trial
🔗 Source: postsecondaryreadiness.org
📊 Size: 1.92 MB
👤 Author: Elisabeth A. Barnett, Peter Bergman, Elizabeth Kopko, Vikash Reddy, Clive R. Belfield, and Susha Roy
⬇️ Downloads: 176

Summary

Multiple Measures Placement Using Data Analytics is a study by the Center for the Analysis of Postsecondary Readiness, evaluating a placement system that uses data analytics to weigh multiple measures, including test scores and high school GPAs, to place students into remedial or college-level courses. Seven SUNY colleges participated, with over 13,000 students randomly assigned to either the status quo or alternative placement system. Initial results for the fall 2016 cohort show promising findings, including that 14% of program group students placed higher in math and 41.5% in English, and were 3.1 and 12.5 percentage points more likely to enroll in and complete college-level courses.

Description

Multiple Measures Placement Using Data Analytics is a study by the Center for the Analysis of Postsecondary Readiness, evaluating a placement system that uses...

Technical Information

  • File Format: PDF
  • File Size: 1.92 MB
  • Pages: 112
  • Language: EN
  • Author: Elisabeth A. Barnett, Peter Bergman, Elizabeth Kopko, Vikash Reddy, Clive R. Belfield, and Susha Roy
  • Total Downloads: 176
  • Last Updated: 1 day ago

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