Data Driven Differentiation in the Standards-Based Classroom

`Reminds educators of their commitment to children and reassures them that the tasks they must complete are doable' -

Maria Elena Reyes, Associate Professor, School of Education, University of Alaska, Fairbanks

In this comprehensive guide to using data-driven strategies for curriculum, instruction, and assessment, the authors present step-by-step techniques and planning tools for designing instruction with student success in mind.

Topics include using data to assess classroom climate and create optimal learning conditions; using data to assess student learning styles and multiple intelligences; using data for diagnostic teaching before, during, and after instruction; using curriculum mapping and critical questions for standards-based unit planning; using adjustable assignments and flexible grouping for differentiated learning; using the most effective research-based instructional strategies; and using data for lesson planning in learning chunks that keep students active, engaged, and able to demonstrate what they know and can do.

Four sample units that cross content areas and grade levels are used to demonstrate every aspect of the planning process, and the authors provide a generous collection of templates, grids, and sample planners for teachers, curriculum designers, and instructional leaders to use at every stop along the way.