HIGH-LEVERAGE PRACTICES IN Self-contained EBD and Alternative Education CLASSROOMS
The Corner of Academics and Behaviors: Using Intensive Instruction to Target Both
Episode Description
Key Points and Takeaways
Ashley Cotton, MEd
Project Onward
Join the next cohort to develop your self-contained EBD or alternative education program from design through implementation!
In a schoolwide tiered system of support, the most intensive level of intervention—commonly known as Tier 3—is typically handled by special educators, while Tier 2 is delivered by highly trained general educators. Tier 3 focuses on highly individualized instruction, guided by a process known as data-based individualization (DBI). DBI involves starting with a validated supplemental intervention and using both diagnostic and progress monitoring data to create tailored instruction. This approach allows teachers to continually adapt the intervention based on a student's ongoing performance, ensuring the support evolves as needed.
Tier 2, on the other hand, is designed to help students who are below grade level but haven't responded well to differentiated core instruction. It uses research-based interventions to address skill gaps in small groups, usually with four to seven students. The primary goal is to reinforce foundational skills that allow students to access grade-level content, ultimately preventing further academic struggles.
Tier 3 ramps this up significantly, focusing on students with more severe and persistent learning needs who haven't made sufficient progress despite receiving Tier 1 and Tier 2 interventions. Teachers in Tier 3 use data-informed practices proven effective across various content areas, including math, reading, writing, and behavior. The instruction is explicit, integrates cognitive strategies, offers continuous feedback, and is tightly aligned with student performance data. It’s delivered to very small groups—usually no more than three students—with similar learning or behavioral challenges.
A critical part of this intensive instruction is that it is both systematic and explicit. Teachers group students based on shared learning needs, define clear learning goals, and use carefully paced instruction to target specific skill gaps. Data is at the heart of this process, guiding the identification of these gaps and ensuring that instruction is focused on high-priority skills that are essential for academic success. Students in these settings benefit from multiple opportunities to respond, practice what they are learning, and receive immediate corrective feedback from teachers and peers.
Highly trained specialists such as reading experts, special educators, or behavioral specialists typically deliver this level of instruction. They use both quantitative and qualitative adaptations to intensify support—whether it's increasing instructional time or reducing group size, or integrating strategies that help with cognitive processes like self-regulation, memory, and academic skills. For instance, when quantitative changes aren’t enough, teachers might shift to qualitative adaptations like making instruction more explicit or incorporating cognitive supports, such as memory aids or self-regulation strategies, to further aid learning.
The DBI framework plays a pivotal role here. It helps special educators monitor the effectiveness of supplementary interventions. If progress isn’t sufficient, the first step is often to increase the instructional intensity by reducing group sizes or extending learning time. If that still doesn't yield the desired outcomes, educators turn to modifying the instructional delivery itself. This might involve using techniques like think-alouds or visual aids to model problem-solving strategies or introducing mnemonics to help students retain key concepts.
Through this flexible, data-driven approach, teachers can make continuous adjustments that meet the unique needs of each student, ensuring that even the most challenging learning challenges can be addressed with targeted, responsive interventions.
When students with additional needs aren't making adequate progress through general education instruction, special education teachers or specialists often step in to intensify the support. A widely recognized approach for doing this is through the process of Data-Based Individualization (DBI), as explained by the National Center for Intensive Intervention (NCII). DBI provides a structured, research-based framework that helps educators make well-informed decisions to support both academic and behavioral improvements. It’s a data-driven process that revolves around the use of data-informed curricula in the specific areas where students are struggling, combined with ongoing progress monitoring and diagnostic testing.
One of the key aspects of DBI is that it’s not static; it encourages constant adjustment based on how well students are responding to interventions. Teachers may make adjustments in curriculum, group size, or even the structure of the instruction itself, all guided by student data. These decisions are often made collaboratively within a team setting, ensuring that multiple perspectives are considered in finding the most effective approach.
What makes DBI particularly powerful is how it aligns so closely with several High-Leverage Practices (HLPs), particularly HLPs 1-6, which cover key aspects of collaboration, assessment, and data use, as well as instructional HLPs 11, 12, 16, and 22, which focus on adapting instruction, providing feedback, and offering explicit teaching. This alignment underscores the importance of blending research-backed practices with data-informed adjustments to help students with disabilities thrive.
When teachers effectively encourage active student engagement, particularly for students with significant learning challenges, they rely heavily on the DBI process. DBI provides a research-backed framework that allows educators to tailor interventions to individual student needs, tracking progress closely and adjusting strategies as necessary. Teachers start by selecting a secondary prevention program grounded in research, one that’s specifically designed for students who need more intensive intervention beyond what’s offered in the general curriculum.
Progress monitoring is essential throughout this process. Teachers continuously track how students are responding to instruction, using data to make informed adjustments. Diagnostic assessments play a key role as well, helping teachers create highly individualized intervention plans based on a student’s unique profile. This isn’t a one-size-fits-all approach; it’s about adapting and refining strategies until the right fit is found.
Within the DBI process, there are clear steps that guide this individualized instruction. First, teachers establish where the student is currently performing academically. From there, they set ambitious yet achievable long-term goals based on established norms. High-quality instruction or interventions are then implemented with fidelity, and teachers monitor progress toward those goals. As progress is tracked, teachers use specific decision rules to assess how effective the instruction is and how well the student is progressing.
At this point, if student progress isn’t meeting expectations, teachers generate a hypothesis about what might be hindering progress, and adjust the instruction accordingly. The beauty of this process is its flexibility; teachers can continue to monitor, assess, and make instructional changes throughout the year based on data, ensuring that the support provided is dynamic and responsive to each student’s evolving needs. This continuous cycle of evaluation and adaptation ensures that students receive the most effective, personalized support possible.
School leaders play a crucial role in ensuring that teachers are equipped to meet the varying needs of their students, particularly through effective use of data-informed practices and the DBI process. It’s essential that educators not only have a solid understanding of these practices but are also skilled in using data to guide their decisions. This means providing teachers with consistent opportunities for professional development and coaching, particularly around DBI. By doing so, leaders can ensure that teachers are able to implement these processes with precision and confidence, adapting instruction based on student data in real-time.
In addition to offering training, feedback is key. School leaders need to be actively engaged in observing how teachers are applying DBI across different settings, offering constructive input on whether educators are making the most accurate and efficient decisions. This helps to ensure that intensive interventions are having the intended impact.
Moreover, accountability is a significant part of this process. It’s not just about providing resources and training, but also holding teachers and other key stakeholders responsible for their roles within DBI. This includes ensuring that intensive instruction is delivered effectively, that data is being collected and monitored regularly, and that progress towards adjusted goals is being met. Leaders should also be ready to offer support or coaching whenever necessary, keeping the entire process moving smoothly and ensuring that students receive the best possible outcomes.
While many students respond well to research-based interventions like those provided in Tier 2 instruction, there are some who don’t make the expected progress, even with these targeted supports. These students require a more intensive instructional approach. This is where the framework of Data-Based Individualization (DBI) becomes critical. Grounded in over a decade of research, DBI has proven especially effective for students with additional needs who don’t show adequate progress in general education (Tier 1) or with supplemental interventions (Tier 2).
Intensive instruction under DBI isn’t just about increasing the frequency or duration of lessons; it’s about making strategic, data-driven adjustments to the intervention itself. The beauty of DBI is its flexibility—it responds to individual student data, ensuring that instruction adapts in real time to meet their specific needs. By focusing on these nuanced, individualized aspects, students who would otherwise continue to struggle can make meaningful gains in their learning. The process is about being deeply responsive, adjusting to the unique and evolving challenges students face in their educational journey.