What is data-based decision making in Special Education (SPED)?

• A. Relying on teacher intuition for instruction changes.
• B. Using data from assessments and progress monitoring to guide service decisions.
• C. Making decisions based on attendance data only.
• D. Keeping data separate from instructional planning.

Answer: (B)

Data-based decision making in SPED means using objective information from assessments and progress monitoring to guide every decision about a student’s instruction, supports, and services. Instead of guessing whether a student is making progress, teams collect data on performance over time, compare it to established goals, and look for patterns across multiple measures. This approach helps determine what level of support is needed, whether instruction is effective, and when to modify or intensify (or ease) services. In practice, teams pull together data from progress checks, unit or curriculum-based assessments, and other relevant records, then use agreed-upon rules to decide the next steps—such as changing goals, trying a different intervention, or extending the current supports. Regular data reviews—often within MTSS/RTI frameworks—keep instruction responsive and accountable, ensuring decisions are tied to how the student is actually learning.

Relying on teacher intuition misses the systematic evidence that shows whether a student is truly learning. Using attendance data alone doesn’t reveal academic progress or skill mastery, and keeping data separate from planning breaks the essential feedback loop that informs instruction.