Data Driven Decisions in Literacy 3D

How is Data Used in Literacy 3D?

Data Driven Decision Making (DDM) and feedback are recognized practices resulting in teacher implementation. Coach interpretations of observational and formative evaluation data and the development of action plans for changes in implementation have been highly valued by classrooms and teachers. We take advantage of the coach’s interpretations of data leading to action plans and implementation. Sources of data used by Literacy 3D Coaches consist of CIRCLE observations, formative measures of literacy skills, such as The Preschool Early Literacy Indicators (PELI) and Individual Growth and Development Indicators (IGDIs), and fidelity checklists documented in the Tune-up Checklist (one for each strategy… see List Of Top Ten Literacy Practices). It is helpful that the measures used have benchmark comparatives so that a child’s performance above or below these levels of performance can prompt decisions about changing instruction.

List of steps in Literacy 3D DDDM:

  1. Child literacy skills assessment
  2. Observation of instruction
  3. Review of findings
  4. Identify literacy skill needs/goals
  5. Reflection on current practice and problem analysis
  6. New strategies identification
  7. New plan, practice, and preparation
  8. Implementation, fidelity, and new data collection
  9. Feedback on progress
Figure of Literacy 3D Data Driven Decision Making Cycle