Data-Driven Decisions Dessalines Floyd District Literacy Specialist

Data= Information It is often organized for analysis and used to make decisions.

A school is a data warehouse! Information is packaged in a number of different ways. Assessment scores (i.e. FCAT, SAT, ACT) Teacher-made exam/quiz results Activities/assignments Observations Student-portfolios and notebooks Attendance tracking Conference logs Surveys/feedback forms

If you organize your data, then it will be easier to understand.

Before using your data to make a decision, ask yourself… What does the information reveal? Is it reliable? How many different forms of data did I collect? Have I recorded my results?

Promote student achievement by using the data to get from point A to point B!

Trade This… For … Thick, data notebooks stocked with stale data Rigid, fixed lesson plans designed with imaginary students in mind Data-rich, information -poor classrooms whereby data is collected but never used Organized notebooks with active/fresh data-sets Flexible lesson plans designed to meet the needs of YOUR students Data-rich, information-rich classrooms whereby data informs instruction

-Sample scenario, Danny Doesn’t Compare What does this look like in the classroom?

You introduce a graphic organizer designed to help your students understand how two characters in a story compare.

Students complete the assignment- you record the results.

After answering a few more important questions, you decide to help Danny accomplish the same goal by making adjustments to a graphic organizer that he has already mastered. You begin by asking yourself ‘What does this information reveal?’

Re-assess and Record Results -How does he compare to his peers?-

Next steps Provide additional support Pull data from multiple -sources Provide enrichment to those who initially mastered the skill Track/monitor along each step

Information-gathering is continuous Instruction is both purposeful and direct This process is Recursive!