Welcome to WEGO’s online professional development!
Module 5 - Data-Driven Decision-Making (DDDM)
In this module we will be taking a deeper dive into the components of the teacher dashboard presented in Module 4. First, we will look at how a teacher applies the embedded rubric to carefully identify a student’s specific writing needs. Then, we will look at the data-driven decision-making maps that provide instructional strategies aligned with the skill deficit. Finally, there are three examples that show how teachers use the described cycle of data-driven decision-making to facilitate student progress when writing with the TBGO+.
After participating in this module, you should be able to:
- Apply the rubric to a student's work in the TBGO+
- Identify a student’s specific writing need
- Select instructional strategies that align with the students' writing need by using the Data-Driven Decision-Making (DDDM) maps
- Construct an instructional decision
Terminology
Data-Driven Decision-Making (DDDM): The ability to transform data into instructional action
Data-driven decision-making maps (DDDM maps): flowcharts guiding teachers through the process of making an instructional decision based on the TBGO+ data
To stay on track with new content and deliverables, follow the Module 5 Checklist.
Estimated time of completion: 45 min.