Data-Driven Decisions

Look Fors (ordered from emerging to sustaining):

Variety of material reflects differing student needs and current ability levels
Groups are based on quantitative or qualitative data (digital content, conferencing notes, exit tickets, benchmarks, interest, SEL goals, need etc.)
Visual tracking of student progress (data-walls, individual student trackers) that is frequently updated
Formative assessments are used throughout the lesson
Teacher uses a do now and/or exit slip that measures student skill/knowledge mastery
Evidence of individualized feedback on student assessment, interactions, or work products Evidence that teacher and students review data together to identify needs