The document discusses a project to create an early reading identification system using existing student data from 7 school districts. It aims to (1) identify early reading challenges, (2) develop a library of best practices for instruction and intervention, and (3) make resources available online. The project will create an early warning system leveraging student data, build individualized professional development for teachers, and develop a data culture with performance dashboards. Students and teachers will receive immediate, data-driven resources tailored to their needs through an online learning platform. The goal is to create a scalable system to support student reading development.

1. What is Our Passion
How Do We Lead Learning and How Can You Help Us?
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2. Consolidation of Operations or Services Grant
Funding Educational "Awsomeness!"
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3. The goals of the project include:
• create a data-driven system that
will identify early reading
challenges of students in a region
utilizing our existing data
warehouse structure that
encompasses seven ISDs in the
West Michigan area;

4. The goals of the project include:
• develop a learning resource
library of best practice instruction
and intervention strategies that
have been identified from
extensive field study by the
Reading Now Network; and

5. The goals of the project include:
• make these resources, including both
student learning resources and
teacher professional development,
available through the existing online
Edify learning management system in
support of students’ individual
reading development plans.

6. How Will We Do It?
• Create an Early Warning System
•
• Leveraging IGOR – Maximizing Our
Data-Warehouse
•
• DIBELS
•
• MAP
•

7. How Will We Do It?
• Build Capacity to Harness Data-Driven
Individualized Professional
Development
•
• RNN – Building On Experience – Using
Technology To Bring to Scale
•
• Capitalize on Our PDNow Concept
•

8. How Will We Do It?
• Building A Real-Time Data Culture
•
• Stakeholder Dashboard of Performance
Data (Barebulb)
•
• Combine Real-Time Assessment Data with
Historical Student Performance Data
Filtered for Student Demographics
•
• Identify Who Is “Beating the Odds” With
Those That Have Historically Most

9. How Will We Do It?
• Create A Universal Student Back
Pack and Teacher Brief Case of
Data-Driven, Research-Based,
Best-Practices Standards-Based
Resources

10. Backpack and Brief Case
1. Students Get Immediate Digital Resources
That Have Been Successful in Other
Classrooms With Other Students That Have
Similar Challenges (EDIFY)
2. Teachers Get Immediate PD
Resources/Instructional Resources That
Have Been Successful in Other Classrooms
With Others Students That Have Similar
Challenges (EDIFY)

11. How Does This Work?
Creating A Scalable System of Awesomeness!

12. How Does This Lead Learning?
Where Is The Magic?

13. We Lead Learning!
Kent ISD