Academic Standards and Talent Development Coordinator Mankato Area Public Schools, Minnesota
Short description: Instructional interruptions and testing cancellations have challenged finely-tuned identification protocols. Fuzzy and missing data widen gaps, perpetuating systemic inequities for historically underrepresented GT students. This session addresses how to work with available data to identify students and remove barriers. Learn to use multiple measures and compensate for incomplete data to create pathways that open doors for all GT students.
Learning Outcomes: Participants will:
Learn to tier levels of service to create talent pools for ongoing development of student potential and use identification protocols as a way to dismantle barriers in matching students with service offerings
Explore how to review achievement data after instructional interruptions and combine multiple measures effectively in protocols for differentiated services
Learn how to compensate for missing data in your matrix without losing confidence your placements