ML Teacher Toolbox: Semantic Feature Analysis (SFA)

2026-02-25T00:00:00-06:00
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Date: Monday, May 4, 2026
Presenter: Michele M. Yanong
ECPD Credit Hours: 1 hour
Event ID: 265503102

ML Teacher Toolbox: Semantic Feature Analysis (SFA)

Are your students struggling to distinguish between similar academic terms? Do they know the definitions but fail to use the words correctly in context? Join me for a high-impact, 60-minute session on Semantic Feature Analysis (SFA)—a powerful visual strategy that moves students beyond rote memorization and into deep conceptual understanding.

Participants will explore:

  • The Anatomy of Nuance: How to break down complex categories into digestible terms and features.
  • Step-by-Step Implementation: A clear instructional sequence to move from teacher modeling to student independence.
  • Cross-Curricular Applications: See SFA in action across Math, Science, ELA, and Social Studies

Scaffolding and Templates for MLs: Specific techniques to use SFA as a springboard for academic speaking and writing.

Audience: K–12 Educators, ML Specialists, Instructional Coaches
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