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Removing Barriers to Graduation: Student-Centered Scheduling and On Track to Graduate Monitoring
Learn how Anaheim Union High School District significantly improved graduation rates for students with disabilities by implementing targeted strategies. Through student-centered scheduling and consistent monitoring of graduation progress, the district achieved a 16% increase in graduation rates, surpassing their initial goal. The guide provides practical tools, including the Student Scheduling Fly-Up Form and the On Track to Graduate Monitoring Checklist, to assist other districts in replicating this success.
Reducing Chronic Absenteeism: Parent Collaboration Protocol
The Parent Collaboration Process Implementation Tool was developed by Corning Union Elementary School District through California’s CIM process to address high chronic absenteeism rates among students with disabilities. With over half of these students chronically absent in 2022, the district joined SIL’s Attendance Network and created a structured, proactive communication process between schools and families. This tool outlines step-by-step strategies for building relationships, identifying attendance barriers, and collaboratively developing support plans.
Reducing Chronic Absenteeism: Student Attendance Success Plan
To address high rates of chronic absenteeism among students with disabilities, Chowchilla Union High School District participated in California’s Compliance and Improvement Monitoring (CIM) process and joined the SIL Attendance Network. They implemented a personalized Student Success Plan, adapted from Attendance Works, which supports students in reflecting on attendance barriers, setting goals, and identifying trusted adults to help them stay engaged. As a result of these targeted efforts, the district achieved a 37% decrease in chronic absenteeism for students with disabilities within one year.
Run Charts Improvement Science in a Minutes
This video introduces how observing data over time can help teams understand and manage the performance of a system, and demonstrates one method for analyzing time-ordered data to support continuous improvement.
Accompanying Tools
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Seven Steps for Making a Run Chart: This resource provides a step-by-step guide for creating a run chart—a data visualization that helps teams track data over time to see whether a change leads to improvement.
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Four Rules for Interpreting a Run Chart: This resource outlines four rules teams can use to interpret run charts and recognize patterns that signal nonrandom variation versus random variation in their data over time.