Data Analysis for Graduation Improvement

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Webcast Details

Aired on: April 14th, 2015

3:30–4:30 p.m. (ET)

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Our Guest(s) This Week

David Riegel

David Riegel is an educator and https://dropoutprevention.org/wp-content/uploads/2022/09/C.W.-Gardenhire-pic.jpgistrator who has served school districts as an English teacher, assistant principal, and principal. Now principal of Irmo High School in Columbia, SC, Riegel previously served in the same role at Franklin High School in Franklin, OH, where the application of data analysis was among the positive factors in increasing that school’s graduation rate. Riegel earned a BA in English from The Ohio State University in Columbus, OH; and an MA in English from Michigan State University in Lansing, MI. You can reach David on twitter with @irmoleads.

This Week's Topic

As a veteran educator for the past 24 years, David Riegel has been at the forefront of efforts to help students—and schools—transform. Prior to his current position, Riegel also served Franklin High School in Franklin, OH, as its principal, during which time graduation rates increased from 84% to 93%. Riegel’s graduation improvement strategy, which focuses on key areas of data analysis, also earned the school an “Excellent” rating from the Ohio Department of Education.

Riegel, who has been a teacher and school https://dropoutprevention.org/wp-content/uploads/2022/09/C.W.-Gardenhire-pic.jpgistrator for 24 years, will provide Solutions viewers with a research-based, actionable overview on the application of data analysis to graduation improvement. Data Analysis for Graduation Improvement will:

    • Increase understanding of graduation rates and significant school factors that impact it,
    • Demonstrate how to compile graduation rate data and explain it to stakeholders, and
    • Identify specific data points that will help create an improvement plan for your school.

 

You can reach David on twitter with @irmoleads.

Resources:

Riegel, D. (2015).  Notes for Data for Graduation Improvement.

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