Data-Driven Instructional Solutions      

Meeting the Needs of All Learners Through Data
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                                                                               DDIS  System      
                                  Blink/Halverson Model for Data Driven Instructional Systems (2005)                                                                                                          
                                                                Model Components and Definitions

Data Collection - Organizing how data are acquired and stored in a school district.

Data Reflection - Providing opportunities for teachers, administrators and other school district stakeholders to analyze and interpret data for school improvement.

Data Translation - Converting the district data into content, curricular and program revision.

Data-Driven Instruction Design - Moving data to the classroom level so it is utilized by teachers to improve instruction in their classrooms.

Design Feedback - Evaluating how information is shared with the multiple stakeholders in a district including students, parents, teachers, administrators, school board members and the community.

Summative/Formative Assessment - Measuring the implementation of data-driven initiative through multiple means of assessment, to monitor progress.

Goal Setting - Keeping the focus of all school improvement efforts and knowing that goals can change as a district moves through the DDIS Model.