Data-Based Individualization

Jessica Toste, The University of Texas at Austin; Marissa Filderman, The University of Texas at Austin; Nathan Clemens, The University of Texas at Austin

Issue 30

Data-based individualization (DBI) is a systematic approach to using student data to determine when and how to modify interventions for students with persistent academic difficulties (Danielson & Rosenquist, 2014; Fuchs, Fuchs, & Vaughn, 2014). This approach was developed by special education researchers, working closely with special education teachers, and led to a process of intensive intervention known at the time as data-based program modification (Deno & Mirkin, 1977).

DLD_Alert30

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