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Refining RTI: A systems
approach to unifying scores

The Blenders

Peggy Jacobs
Greg Collier
Paul Cavender
Michele Burke
David Shaub
What did we create and why is this important?

Problem
• Problem Statement – Data rich, Information poor:
• Results from numerous different assessments all in different formats.
• Time needed to cull out scores and interpret for areas of growth for each student.
• Determine appropriate next steps
Solution
• Taking numerous assessments, normalizing the data to create relevant student
   cohorts in order maximize teaching and student growth.
• Making sure the remediation and/or extension teaching is research based with
   learning targets being set
• Students will show growth based on: assessments
   (formative, summative, anecdotal),
   student responses, portfolio, student reflection
• Cohorts must be dynamic and fluid, based on student performance
Teachers’ Need
• Teachers need real time, normalized analysis of the data to create immediate cohorts



                                         Editable title in the footer   11/26/2012   2
How did we validate the problem?

Research:
•As teachers, we spend hours interpreting data to create quality cohorts
•57 years of combined experience in our group



Key Findings:
•Teachers need support in analyzing data to create cohort groups
•This would save MANY hours a year in data analysis and allow for more targeted
instruction




                                           Editable title in the footer   11/26/2012   3
Leveraging SLC

How SLC was used to bring the solution together:
•SLC will provide raw data from State and Vendor assessments
•Application will analyze data and create cohort groups
•Teachers will utilize information to create learning plans
•Application will write back cohort groups to SLC with new student data to create new
cohort groups




                                          Editable title in the footer   11/26/2012     4
Demonstration

•   How we do it now:

•   How we want it to be done:




                                 Editable title in the footer   11/26/2012   5

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Concept: Refining RTI: A systems approach to unifying scores by Team: The Blenders

  • 1. Refining RTI: A systems approach to unifying scores The Blenders Peggy Jacobs Greg Collier Paul Cavender Michele Burke David Shaub
  • 2. What did we create and why is this important? Problem • Problem Statement – Data rich, Information poor: • Results from numerous different assessments all in different formats. • Time needed to cull out scores and interpret for areas of growth for each student. • Determine appropriate next steps Solution • Taking numerous assessments, normalizing the data to create relevant student cohorts in order maximize teaching and student growth. • Making sure the remediation and/or extension teaching is research based with learning targets being set • Students will show growth based on: assessments (formative, summative, anecdotal), student responses, portfolio, student reflection • Cohorts must be dynamic and fluid, based on student performance Teachers’ Need • Teachers need real time, normalized analysis of the data to create immediate cohorts Editable title in the footer 11/26/2012 2
  • 3. How did we validate the problem? Research: •As teachers, we spend hours interpreting data to create quality cohorts •57 years of combined experience in our group Key Findings: •Teachers need support in analyzing data to create cohort groups •This would save MANY hours a year in data analysis and allow for more targeted instruction Editable title in the footer 11/26/2012 3
  • 4. Leveraging SLC How SLC was used to bring the solution together: •SLC will provide raw data from State and Vendor assessments •Application will analyze data and create cohort groups •Teachers will utilize information to create learning plans •Application will write back cohort groups to SLC with new student data to create new cohort groups Editable title in the footer 11/26/2012 4
  • 5. Demonstration • How we do it now: • How we want it to be done: Editable title in the footer 11/26/2012 5

Editor's Notes

  1. Self IntroductionI represent the Gates Foundation, so I’m here to address the Philanthropy Perspective on education. I’d like to speak with you about the challenges in the classroom today and one of the specific initiatives underway to address it.[Stephen: Need to add some context language about how this fits within the Gates Foundations Next Generation models efforts and overall education initiatives – based on the topic of the presentation it will be expected]