What is Our Passion

Consolidation of Operations or Services Grant

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;

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

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.

How Will We Do It?

• Create an Early Warning System Leveraging IGOR – Maximizing Our Data-Warehouse DIBELS MAP District Developed Assessments (EDIFY)

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 Resource Center of PD (EDIFY)

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 Challenges In Doing So

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

Backpack and Brief Case

• Students Get Immediate Digital Resources That Have Been Successful in Other Classrooms With Other Students That Have Similar Challenges (EDIFY)
• Teachers Get Immediate PD Resources/Instructional Resources That Have Been Successful in Other Classrooms With Others Students That Have Similar Challenges (EDIFY)

How Does This Work?

How Does This Lead Learning?

We Lead Learning!