NDREA - Mathematics: Data-Driven Instruction - Analyzing Student Work - Option 2 (November 14th, 2024) - Virtual [Single-Day Event]

Description

NOTE:  This training is being offered as part of a collection of different trainings specific to math educators.  Most sessions will be offered twice to allow more people to attend as they will NOT be recorded.  Participants may attend any/all opportunities that are of interest to them.  Each event must be registered for separately:

This session focuses on equipping teams with the skills to analyze student work and assessment data effectively. Participants will learn how to identify what students have mastered and what gaps remain. The session will cover strategies for using this data to inform instructional decisions and design targeted interventions in Tier 1 and Tier 2. By the end of the day, teams will be able to create actionable plans to address student needs and improve learning outcomes. Key elements include techniques for examining student work, identifying gaps in knowledge, using data to guide instructional adjustments, and developing plans for both immediate classroom interventions and more targeted Tier 2 support.

PRESENTER: 

• Dr. Nathan Lang-Raad (website)

DELIVERY:  This opportunity will be delivered over 1-full day synchronously ONLINE.  This virtual event will NOT be recorded.

AUDIENCE:  Primarily intended for K-12 Math Educators; additional roles include Instructional Coaches; Curriculum Directors; Title I Teachers; Administrators

CREDIT:  This event is being offered for 7 hours of Cafeteria Credit.