Data-based individualization (DBI) is the systematic use of assessment data to monitor student progress and provide intensified interventions.
DBI allows teachers to determine if an intervention is improving student outcomes with concrete information and make adjustments if needed. The cyclical process includes establishing baseline data, implementing an intervention, monitoring student progress, adapting interventions if necessary, and continuing to monitor the effectiveness of a particular intervention. DBI can be used to evaluate the efficacy of interventions in either academic or behavioral domains.
Data Collection for Enhanced Academic and Behavioral Instruction
Data-Based Behavior Plans: What Do They Look Like?
Thriving as a New Special Education Teacher
Using Transition Assessment Results to Write Indicator 13-Compliant Transition Plans
Responsiveness to Intervention: TEC Articles Collection
Positive Behavior Intervention and Supports: TEC Collection
Climb Data Mountain: How Components of Self-Determination Can Support Oral Reading Fluency Practice
Daily Behavior Report
Winston Preparatory School
A Place to Be Understood - Winston Preparatory School
Choosing the right school for your child with a learning difference is essential. Winston Preparatory School (Winston Prep) and its network of schools offer a highly individualized learning environment for students grades 4-12 with learning differences, including dyslexia, ADHD, and nonverbal learning disabilities (NVLD). At Winston Prep, emphasis is put on discovering who each student is, what their strengths and learning needs are and, based on their learning profile, designing an individualized curriculum that is grounded in