Data-Driven Decision Making 1: Concepts and Processes
Identifying problems. Using educational research. Collecting, analyzing, and interpreting data in order to solve problems; to establish fair, collaborative decision-making processes; and to inform continuous school and student improvement.
EDLF
676
 Hours3.0 Credit, 3.0 Lecture, 0.0 Lab
 PrerequisitesNone
 TaughtFall, Summer
Course Outcomes: 


Conceptual Frameworks

Understand the conceptual frameworks for data-driven decision making and professional learning communities. (Aligns with program outcomes 2C, 3E, 3F, 3I).

Connections between Frameworks

Make connections between these frameworks. (Aligns with program outcomes 2C, 3E, 3F, 3I).

Using Tools to Use Data to Answer Questions

Obtain knowledge and tools to collect, summarize, and analyze data to answer questions. (Aligns with program outcomes 1G, 2D, 2E, 3C, 3D, 3I).

Application of Concepts and Tools

Apply concepts and tools to various real-world educational settings. (Aligns with program outcomes 3B, 3E, 3I).