Data Driven Dialogue: Integrating T3 Data into the School Improvement Planning Process

Overview

Schools and districts are required to collect a wide variety of data sets in order to specifically identify and address issues that impact student success.  The migration to the next generation online assessments will require that additional data be collected and analyzed, and this data must become part of the school improvement process. 

Setting the Context for Data Collection and Conferencing

Presentation Link

Using the Data-driven Dialog with T3 Data Sets

Now that you are familiar with the data needed for online testing readiness, the Data-driven dialog Protocol used in school improvement planning will be helpful.

This protocol builds awareness and understanding of the participant’s viewpoints, beliefs, and assumptions about data while suspending judgments. All participants have equal voice. The phases of data-driven dialogue assist groups in making shared meaning of data. The dialogue tool helps to replace hunches and feelings with data-based facts, examine patterns and trends of performance indicators, and generate “root-cause” discussions that move from identifying symptoms to possible causes for student performance.

The protocol involves four phases as addressed in the next four pages.

Phase 1: Predictions

Phase 2: Observations

Phase 3: Making Meaning

Phase 4: Now What?

Summary: Data-driven Dialogue Protocol

Remember:  This protocol should be used ANYTIME there is a discussion regarding ANY data.

Link to the Data-driven Dialogue Protocol

Accompanying Spreadsheet for the Data-driven Dialogue Protocol

You are now ready to move on to the next activity: Data Protocols Quiz