All tiered models of intervention, particularly Positive Behavior Interventions and Supports (PBIS) and Response to Intervention (RTI), depend on using reliable data to make educational decisions.
Individual student data provide information about the performance of a single student. These data guide smaller scale, but equally important, decisions about intervention choices for struggling students, as well as indicate the degree of improvement that is made after an intervention is put into place.
School and district wide data provide critical information about how the student body, as a whole, is performing behaviorally and academically. These data guide large-scale decisions that affect the entire school or district.
NU Data Project
What NU Data Does
NU Data strengthens teachers’ skills in six DataBasics. These six DataBasics were developed to address barriers to high-quality data use. Follow the links below to learn more about each DataBasic, and access narrated powerpoints, data collection tools, and other materials. Start exploring the six DataBasics here:
- DataBasic #1: Knowledge of data collection tools.
- DataBasic #2: Selecting data collection tools that fit teachers' questions about students.
- DataBasic #3: Collating and graphing data.
- DataBasic #4: Interpreting student data.
- DataBasic #5: Using data to refine instructional modifications.
- DataBasic #6: Selecting evidence-based interventions.
This page provides various additional resources regarding teacher use of student data, maintaining confidentiality with student and school-wide data, and analyzing data.
Data Resources page