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a ready-to-run workshopData-Based Individualization
Inclusion · Workshop

Data-Based Individualization (Workshop)

Everything you need to lead this with your staff or PLC: a minute-by-minute run-of-show, what to say, what to hand out, and how to make it stick. Pick the length that fits your slot.

Key takeaway

For students with the most intensive needs, a standard intervention program is often not enough, so data-based individualization (DBI) provides a systematic process: start with a validated intervention, monitor progress closely, and when the data show it is not working, diagnose why and adapt the intervention, repeating the cycle so instruction is individualized by evidence rather than guesswork.

Format
Intervention / special education
Length
45 minutes
Group size
Any (works 4-40)
Who can run it
Interventionist or special educator
You will need
Slides (5)Printed handoutA student's progress dataA timer
Aligned to
Learning Forward: Rigorous ContentInTASC 2: Learning DifferencesNCII: data-based individualization
Share / assign

Why it works

Within a multi-tiered system of support, most students who need intervention respond to a validated, standardized intervention program delivered with fidelity. But a small number of students, those with the most severe and persistent needs, do not respond adequately even to a strong standard program, and for them the usual advice to deliver the program with fidelity is not enough. Data-based individualization, a process developed and disseminated by the National Center on Intensive Intervention, is the systematic approach for exactly these students. It is not a program but an iterative, evidence-driven cycle for intensifying and individualizing intervention when standard approaches have failed. The cycle has clear steps. Begin with a validated intervention program, matched as well as possible to the student's need and delivered well, because the process starts from the strongest available standard approach, not from improvisation. Monitor progress frequently with sensitive measures, so the data reveal quickly whether the student is responding, rather than waiting weeks or a term to discover they are not. When the progress data show the student is not responding adequately, which is the trigger for the rest of the process, do not simply continue or simply try something random. Instead, gather diagnostic information to understand why the student is not responding, what specifically is breaking down, and then make a deliberate, informed adaptation to intensify or change the intervention, along a known set of dimensions: increasing the dose (time, frequency, smaller group), changing the delivery, adding explicitness and scaffolding, targeting a specific skill the diagnostic revealed, or improving the alignment to the student's need. Then continue monitoring, and repeat the cycle, adapting again based on what the data show, until the student responds. The defining features are that it is systematic rather than trial-and-error, driven by the student's own progress data rather than assumptions, and iterative, treating intervention as a hypothesis to be tested and refined rather than a program to be delivered once and hoped over. DBI is demanding and is typically used for the students with the most intensive needs, often in special education or the most intensive tier of support, and it usually involves collaboration among interventionists, special educators, and specialists. For teachers and teams supporting these students, understanding DBI replaces the frustrating experience of an intervention that is not working but keeps being delivered unchanged with a disciplined process for figuring out what will work. The workshop helps teams understand the DBI cycle, read progress data to know when to adapt, and use diagnostic information to make informed intensifications.

The research: National Center on Intensive Intervention (NCII): data-based individualization.

The run-of-show

Choose your slot. The agenda, timings, and length update to match.

    The core activity: run the DBI cycle for an intensive-need student

    The heart of the session is reading progress data to know when to adapt and using diagnostic information to make informed intensifications.

    Adapt by evidence, not guessworkFor the most intensive needs, a standard program delivered with fidelity is often not enough. DBI replaces an unchanging, failing intervention with a disciplined cycle: monitor, diagnose why, adapt, and repeat until the data show the student responding.

    Facilitator notes

    For the students with the most intensive needsDBI is demanding and is used for the small number who do not respond to standard intervention, typically in special education or the most intensive tier, and usually as a team.

    Adapt it

    Participant handout

    One page for every teacher. Print it, or save it as a PDF.

    K12 Academics · Professional Learning

    Data-Based Individualization: monitor, diagnose, adapt, repeat

    Intensify by evidence for the most intensive needs: start from a validated program, monitor closely, diagnose non-response, adapt deliberately, and repeat.

    1. The validated intervention and how it is delivered:
    2. How I monitor progress frequently and sensitively:
    3. The data signal that the student is not responding:
    4. The diagnostic information on why, and the adaptation it points to:
    5. How I continue monitoring and repeat the cycle:

    Make it stick

    DBI works through disciplined iteration. Close by setting the follow-up:

    Common questions

    How is DBI different from the intervention tiers of MTSS or RTI?
    DBI operates at the most intensive end of an MTSS or RTI system, for the small number of students who do not respond adequately even to a strong, validated standard intervention. The tiers of MTSS largely deliver standardized interventions matched to level of need, and most students respond to them. DBI is what you do when that is not enough: rather than simply delivering a standard program with fidelity, it is an iterative, individualized process of monitoring closely, diagnosing why a student is not responding, and deliberately adapting the intervention, repeating until the student responds. So DBI is not an alternative to MTSS but the intensive-intervention engine within it, designed for exactly the students for whom the standard tiers have not worked.
    What triggers a change to the intervention under DBI?
    The student's own progress-monitoring data showing inadequate response, which is why frequent, sensitive progress monitoring is essential to the whole process rather than an optional add-on. Without close monitoring, non-response is discovered too late, after weeks or a whole term of an intervention that was not working, and the opportunity to adapt in time is lost. Under DBI, you are watching the data closely enough to see quickly whether the student is responding, and when the data show they are not, that is the specific signal to stop continuing unchanged and move into diagnosis and adaptation. The discipline is that adaptation is driven by evidence of non-response, not by a hunch, a calendar, or the frustration of the adults, which is what makes the process systematic rather than trial-and-error.
    Once the data show an intervention isn't working, how do I know what to change?
    By gathering diagnostic information first, which is the step that makes the adaptation informed rather than a guess. Rather than randomly swapping programs or simply doing more of the same, you investigate why the student is not responding, what specifically is breaking down, using diagnostic assessment and close observation. That diagnosis then points to an adaptation along a known set of dimensions for intensifying intervention: increasing the dose through more time, frequency, or a smaller group; changing the delivery; adding explicitness and scaffolding; targeting the specific skill the diagnostic revealed as the sticking point; or improving the alignment of the intervention to the student's actual need. Then you keep monitoring and, if needed, diagnose and adapt again. Treating each adaptation as a hypothesis informed by the diagnostic, and tested against the data, is what distinguishes DBI from cycling through programs and hoping.

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