Data Collection

Overview: 

In this Deep Dive, participants will define data collection, explore different types of data, and analyze the role of screeners, diagnostics, progress monitoring, and outcome measures. They will learn to apply the data cycle to plan instruction, monitor progress, and adjust teaching as needed, while also fostering a culture of data that supports continuous improvement.

Objectives:

·       Define data collection and explain its importance in improving student outcomes.

·       Understand different types of data and analyze the purpose of universal screeners, diagnostic assessments, progress monitoring, and outcome measures.

·       Utilize the steps of the data cycle to analyze data, plan instruction, monitor student progress, and adjust instruction.

·       Identify strategies to foster a culture of data that supports continuous improvement.