EDB 575

Data-Based Decision Making and Differentiation

This course will explore the following: data-driven decision making as an ongoing process by understanding data sources, what they tell us, how they can be used to generate, support and monitor continuous improvement, and the ins and outs of differentiating instruction as a tool for improving the odds for all students to maximize their classroom experiences and increase their level of achievement thus contributing to overall schoolwide progress and success. Candidates will learn how to use coaching and collaboration models to improve data-driven decision making and differentiation in schools and classrooms. Candidates will review, study, discuss and apply research on given topics, both in their own classrooms and in collaborative work with colleagues.

Units: 3.0