Response to intervention
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In education, response to intervention (commonly abbreviated RTI or RtI) is an approach to academic and behavioral intervention used in the United States to provide early, systematic, and appropriately intensive assistance to children who are at risk for or already underperforming as compared to appropriate grade- or age-level standards. RTI seeks to prevent academic and behavioral failure through universal screening, early intervention, frequent progress monitoring, and increasingly intensive research-based instruction or interventions for children who continue to have difficulty. RTI is a multileveled approach for aiding students that is adjusted and modified as needed.
In terms of identifying students with specific learning disabilities (SLD), RTI was proposed as an alternative to the ability–achievement discrepancy model, which requires children to exhibit a significant discrepancy between their ability (often measured by IQ testing) and academic achievement (as measured by their grades and standardized testing). Methods to identify students with SLD have been controversial for decades and proponents of RTI claim that the process brings more clarity to the Specific Learning Disability (SLD) category of the Individuals with Disabilities Education Improvement Act (IDEA 2004), while opponents claim that RTI simply identifies low achieving students rather than students with learning disabilities.
- 1 Description
- 2 Behavioral aspects of RTI
- 3 Classification of RTI
- 4 Support for RTI
- 5 Relationship between IDEA and RTI
- 6 Response to RTI
- 7 Concerns and criticisms of RTI for SLD classification
- 8 Technology application to RTI
- 9 See also
- 10 Notes
- 11 General references
- 12 Further reading
RTI is originally a special education term that has broadened into general education framework that involves research-based instruction and interventions, regular monitoring of student progress, and the subsequent use of these data over time to make a variety of educational decisions, including, but not limited to SLD eligibility. To facilitate this broadened conception of RTI, a shift to labeling this approach as a Multi-Tier System of Supports (MTSS) is occurring in schools and the professional literature. Key to the RTI process is the application of scientifically based interventions that have been demonstrated to work in randomized controlled trials. A goal of the RTI process is to apply accountability to educational program by focusing on programs that work rather than programs that simply look, sound, or feel good.
RTI follows a number of core assumptions:
- The educational system can effectively teach all children
- Early intervention is critical to preventing problems from getting out of control
- The implementation of a multi-tiered service delivery model is necessary
- A problem solving model should be used to make decisions between tiers
- Research based interventions should be implemented to the extent possible
- Progress monitoring must be implemented to inform instruction
- Data should drive decision making
A learning disability is defined as a neurological disorder that affects the brain's ability to receive, process, store, and respond to information. They are a group of disorders that can impact many areas of learning, including reading, writing, spelling, math, listening, and oral expression.
In the process of identifying learning disabilities, RTI differs from the formerly standard "ability–achievement discrepancy" approach in that decisions are based on outcomes of targeted interventions rather than mathematical discrepancies between scores achieved on standardized assessments.
In the RTI process, service delivery is typically divided into three levels (tiers) of support, with the intensity of interventions increasing with each level. Tier 1 is focused specifically within the core curriculum, with instruction and interventions targeting all students. Approximately 80% to 85% of the general student body should be able to meet grade level norms without additional assistance beyond the first tier. Students who consistently do not perform within the expected level of performance through Tier 1 instruction are then provided with additional supplementary interventions at Tier 2, which typically involves small group instruction. Approximately 3% to 6% of students will continue to have difficulties after Tier 2 interventions; these students will then receive Tier 3 intervention services, which is the most intense level of intervention (often one-on-one) provided in the regular education environment. As RTI is a regular education initiative, all three tiers of services are intended to be provided as supplements to, not replacements for, the regular education curriculum; there are some, however, who view Tier 3 as special education.
The first level of data collected in the RTI process comes from universal school-wide screenings. These screening assessments are typically given to all students within targeted grade levels, and cover basic academic subjects such as reading and mathematics. Most screening measures aim to be practical and efficient to administer, with the goal of identifying students who may require further assessments and interventions.
To evaluate student performance on the screening measures, scores are compared to specific criteria (criterion referenced) or to broad norms (norm referenced). When specific criteria are used, cut scores are established to evaluate students against a specific level of proficiency (e.g., achieving a score of 15 or above); in a normative comparison, students' scores are compared against those of a larger group (e.g., scoring above the 25th percentile compared to a national sample of 3rd grade students).
Screenings usually occur three times per year (fall, winter, and spring), and the data from these assessments help to guide instruction through the three tiers of the RTI process. This is important not only for identifying students who are having difficulties, but also for identifying possible areas of improvement in the general classroom instruction in the cases where too many students fall below expectations. Because a single universal screening at the beginning of the year can over-identify students who require preventative intervention, the National Research Center on Learning Disabilities recommends that schools also integrate at least five weeks of weekly progress monitoring to identify students who require preventative intervention.
Core curriculum in the classroom should be research-based and field tested. This means, based on evidence from congregating research, that the core curriculum contains all the fundamentals found necessary to efficiently teach reading and has a recognized record of achievement. Such curriculum is to be delivered by "highly qualified" teachers adequately trained to deliver the selected instruction as intended, that is, with fidelity to design.
Progress monitoring and tiered service delivery
Progress monitoring is a set of assessment procedures for determining the extent to which students are benefiting from classroom instruction and for monitoring effectiveness of curriculum.
Curriculum-based measurement (CBM) is often used to collect data on interventions and their effectiveness to determine what works best for an individual student. Additional methods are attempted until students "respond" to the intervention and improve their skills. Students that do not respond, or respond at significantly low rates, may be deemed to have biologically based learning disabilities, rather than simply learning difficulties.
Progress monitoring is the scientifically based practice of assessing students' academic performance on a regular basis for three purposes:
- To determine whether children are profiting appropriately from the instructional program, including the curriculum
- To build more effective programs for the children who do not benefit
- To estimate rates of student improvement
Three tiers of Scientifically Research-Based Interventions (SRBIs) of increasing intensity incorporate the key components of RTI and help ensure the academic growth and achievement of students.
The first tier states that all students receive core classroom instruction that is differentiated and utilizes strategies and materials that are scientifically research-based. Assessment in the classroom should be ongoing and effective in that it clearly identifies the strengths and weaknesses for each learner. Any necessary interventions at this level are within the framework of the general education classroom and can be in the form of differentiated instruction, small group review, or one-on-one remediation of a concept.
Progress monitoring in Tier 1 uses universal screening assessments to show individual student growth over time and to determine whether students are progressing as expected. In this process, data are collected, students are identified using benchmark scores, and measurable goals are set for the next data collection point for those who display difficulties. The team then follows a problem-solving process to determine interventions for at-risk students that will work within whole-class instructions. The classroom teacher implements the interventions, observations are conducted to ensure the fidelity of the classroom instruction, and the problem-solving team periodically reviews the progress of students.
In the second tier, supplemental interventions may occur within or outside of the general education classroom, and progress monitoring occurs at more frequent intervals. Core instruction is still delivered by the classroom teacher, but small groups of similar instructional levels may work together under a teacher's instruction and/or guidance. This type of targeted instruction is typically for 30 minutes per day, two to four days per week, for a minimum of nine weeks. This targeted instruction may occur in the general education setting or outside in a smaller group setting with a specialized teacher (such as a Literacy Support teacher for struggling readers).
In Tier 2, the main purpose of progress monitoring is to determine whether interventions are successful in helping students learn at an appropriate rate. Decision rules are created to determine when a student might no longer require extra interventions, when the interventions need to be changed, or when a student might be identified for special education.
Oral language abilities at the onset of reading intervention programs are an excellent predictor of final outcomes. Both English as a first language and English-language learners demonstrate that the greater the oral language impairment, the greater the associated growth from RTI. Phonics-based RTI programs are most effective prior to grade 1, however, after grade 1 comprehension and mixed RTI programs are associated with greater effect sizes.
Tier three is for students who require more intense, explicit and individualized instruction and have not shown sufficient response to Tier 1 and Tier 2 interventions. This type of targeted instruction is delivered for a minimum of two 30-minute sessions every week for nine to twelve weeks. The interventions in this tier may be similar to those in Tier 2 except that they are intensified in focus, frequency, and duration. The instruction in Tier 3 is typically delivered outside of the general education classroom. Programs, strategies, and procedures are designed and employed to supplement, enhance, and support Tier 1 and Tier 2 instruction by remediation of the relevant area and development of compensatory strategies. If Tier 3 is not successful, a child is considered for the first time as potentially having a learning disability.
In some cases, Tier 3 is considered to be special education, with instruction being provided to individual students or small groups by special education teachers in place of general education instruction (rather than as a supplement). Initial goals are established through an individualized education program (IEP), which is guided by the results of a comprehensive evaluation, and ongoing progress monitoring helps to direct the teaching process. Special education instruction likely will be considerably longer than the 10 to 12 weeks of supplemental instruction delivered in Tier 2 and beyond. The frequency of special education instruction depends upon student need, and the criteria to exit special education are specified and monitored so that placement can be flexible.
Behavioral aspects of RTI
RTI can also be implemented to support positive behavioral functioning through positive behavior interventions and support (PBIS) systems. PBIS is a framework that is used for assisting school personnel (e.g. principals, teachers) in implementing and organizing evidence-based behavioral interventions that enhances students' social behavior. PBIS utilizes the same principles that are characterized in academic RTI procedures: universal screening, progress monitoring, data-based decision making, and implementation of evidence-based interventions. Within each principle, students are taught effective strategies that are essential for supporting teaching and learning.
Tier one is primarily based on prevention. At this level, school wide positive behavioral expectations and procedures are taught. PBIS consists of rules and routines that are developed and taught by school personnel (e.g. principals, teachers, school psychologists, counselors, etc.) to prevent initial incidences of behaviors presented by student the school would like to change. For example, a school team may determine that disrespect for self and others are behaviors they would like to see eliminated within their school. As a result, school staff targets the behavior by positively reframing disrespectful behaviors to respectful behavior as their behavioral expectation for students. Positive framing such as 'Be respectful, Be resourceful, and Be responsible' are expectations that can be utilized to promote positive social behavior.
Examples of tier one interventions:
- The Good Behavior Game
- Token economies
Tier two is designed to provide interventions to support students who are not responding to tier one prevention strategies. Therefore, tier two approaches offer more support than tier one interventions. Because fewer students require tier two services, students are at risk for engaging in more serious, problematic behaviors. Within tier two, simple functional behavioral assessment (FBA) are used to identify students' functioning to support individualized interventions and strategies. Students' individualized interventions are referred to as behavioral intervention plan (BIP). These two approaches are used to promote positive social interactions.
Examples of tier two interventions:
- Check-in, Check out plans (CICO): CICO is an effective behavioral education program (BEP) under Tier 2. It is effective because it is driven by data-based learning and educational psychology theories. Through CICO, students' behaviors are not just curtailed. These students are taught to rely on the school, their home, and themselves for support in obtaining their behavioral goals.
- A student has behavior goals each day, established by the intervention team.
- An established and trained checker checks in and out with the student before and after school to assess his or her CICO card.
- Then, all of the student's teachers provide feedback regarding the student's behavioral goals after their class.
- When checking out with the checker, the student receives positive feedback regarding the completed goals for the day in the form of some positive reinforcement.
- Lastly, the child's home guardian (parent, etc.) signs the card each day after school which strengthens one of the most important aspects of education: home-school collaboration
- Learning and Education Psychology Theories Tied to the CICO Process
- Self-monitoring – Students are a part of this intervention to overcome their struggles and make good choices. Greater autonomy increases a student's positive behavior because the school and its educators have given this student confidence and control over his or her own behavior instead of just relying on strict discipline. Therefore, a self-monitoring environment is a safe environment for the student to choose to change his or her behavior. CICO can take regulatory strategies from this learning theory that is practiced in the general classroom. In the general classroom, to instill self-regulation strategies, which are needed for proper apprenticeship, teachers must include mini interventions within their curriculum to ensure that students know how to self-regulate. Since not all students adopt every strategy, it is important for teachers to identify a range of strategies that can be used for self-regulation within these interventions.
- Scaffolding – It helps students become more self-aware and have greater autonomy. A sense of teamwork and positive reinforcement increase the success of this scaffolding of behavior. In academics, scaffolding allows the student to retrieve prior knowledge while being encouraged to learn new information; therefore, prompts and hints instead of force-feeding facts allows the student to form a greater understanding of the material because they are conceptualizing on their own. Scaffolding can apply to behavior too. This confidence that comes with more autonomy during the scaffolding-like process of CICO instigates an even greater desire to behave or learn new behavioral strategies.
- Behavioral Contracts
- Weekly Report Cards
- Implementations of group therapy sessions
- Implementations of social groups
Tier three was designed for students who did not respond to tier two services. As a result, tier three strategies are more intensive in delivery. Within tier three, educators conduct intensive functional behavioral assessment (FBA) for students in which the results of the assessment are used to compose behavior intervention plans (BIP) for the student. Instructions and expectations should be designed to meet the specific need(s) of students so they can build strategies that exhibit positive behaviors. To aid students throughout this process, educators should use various evidence-based interventions when intervening with the students' behavior.
Examples of tier three interventions:
- Individual therapy sessions
- Implementations of self-monitoring skills
- Daily Behavior Report Cards
- Modified Check-in, Check out plans
The number of schools implementing RTI continues to grow and 61% of schools surveyed in 2010 indicated that they had fully implemented or were in the process of implementing RTI. However, most schools in the survey indicated that the continued to focus on reading interventions at the elementary school. RTI is primarily implemented by grade-level teams or professional learning communities as part of a school-wide problem-solving plan, and previous research found that implementing RTI resulted in several positive outcomes such as reductions in students referred to and placed into special education, more students passing state accountability tests, and increased academic skills among students at-risk for reading failure.
Fidelity of implementation
In an RTI model, fidelity is important at both the school level (e.g., implementation of the process) and the teacher level (e.g., implementation of instruction). Although the concept of fidelity of implementation is supported by research and is generally viewed as common sense, there are practical challenges associated with achieving high levels of fidelity. Factors that can reduce fidelity when implementing instruction include:
- Complexity of the interventions and the time required to implement them
- Inaccessibility of required materials and resources
- Low perceptions/expectations of effectiveness (teachers may not fully commit to an intervention if they believe that it will not be effective, or if it is inconsistent with their teaching style)
- Low numbers, expertise, and motivation of those who deliver the interventions
Factors that can increase fidelity when implementing an RTI model include:
- Well-functioning professional learning communities
- Using a universal screener that is brief, aligned with the curriculum, result in reliable data, and is validated for screening decisions
- Using a data-management system that is easily accessible by classroom teachers
- Implementing interventions that address the skill deficit of students
- Identifying and addressing class-wide needs
- Establishing well-defined decision rules
- Clear leadership from the building principal
- Ongoing training and professional development
- Key stakeholders working together in a flexible manner to improve student learning
- Use of standard-protocol interventions for tier 2
- Not making entitlement (i.e., special education disability identification) decisions until the RTI system is in place and well established.
Classification of RTI
RTI is a general education process that is used in schools to ensure students receive the supports they need to be successful and excel in school. In the educational literature, RTI is often referred to as a Standard Protocol Approach, as a Problem Solving Model., or as a hybrid of the two. However, some have challenged a dichotomous view of RTI because both models incorporate problem solving to identify the academic or social-emotional difficulty the student is having and both use a systematic, universal screening procedure during Tier 1 to determine which students are having difficulties meeting age or grade level benchmarks for a specific skill. Typically, Curriculum Based Measurement (CBM) or other predictive data are used to flag the students who are not meeting expected levels of performance. In the problem-solving model approach, the teacher typically refers the student to a problem-solving team to ascertain the challenges a student is having within the classroom. Using information collected from the classroom teacher and others, observations, etc., the team determines what additional supports the student might need to address the learning gap. Standard-protocol approaches tend to rely more on grade-level teams and professional learning communities to make intervention decisions, but both approaches use a problem-solving procedure to make decisions, which makes the distinction somewhat meaningless. Many schools rely on grade-level teams to make intervention decision and use a standardized intervention for tier 2, but then rely on a problem-solving team to develop individualized interventions for tier 3.
When a student is identified as having difficulties in school, a team provides interventions of increasing intensity to help the child catch up with the rest of his or her peers. When students continue to struggle, even when appropriate evidence-based practices have been delivered with fidelity, students may be referred for a special education evaluation. Parents can request a special education evaluation at any time in this process, however. While the RTI process can be a way to ensure that each student is afforded the opportunity to learn, some opponents feel that it allows school districts to avoid or delay identifying students who need special education services. Proponents would point out that RTI is not the process of identifying students with a learning disability by starting tiered interventions when a disability is suspected, but is the process of examining data that already exist from implementing a tiered intervention model, which should expedite the identification process. The expected outcome of RTI is improved instruction that will result in improved outcomes for all students
Support for RTI
There are at least four main reasons for implementing RTI: 1) to increase achievement for all students; 2) to reduce racial/ethnic disproportionate representation of minority students in special education; 3) to increase collaboration and integration of general and special education; 4) and to identify students with learning disabilities through a different lens than the IQ-achievement discrepancy model. RTI proponents claim that when interventions work, fewer children, particularly minority children, are referred for special education, and that the RTI model acts as a safeguard, ensuring that a child is not given a label of a disability inappropriately. In addition, proponents state that RTI helps school districts by eliminating unnecessary referrals, which drain time and resources. Critics express concern, however, that in attempting to eliminate unnecessary referrals, RTI may also delay or eliminate necessary referrals.
Proponents feel that response to intervention is the best opportunity for giving all students the additional time and support needed to learn at high levels, and see great benefit in that it applies to the classroom teachers, paraeducators, counselors, and the administration. The RTI process can help identify students who are at-risk, guide adjustments to instruction, monitor student progress, and then make other recommendations as necessary. The objective is that with minor adjustments or simple interventions, students may respond and achieve at higher levels.
RTI is also very useful when working with students who have severe emotional problems. The structure and evaluation of RTI will help this particular group of students to be successful in the academic environment.
Reading difficulties is one of the most common reasons students need intervention support. Reading goals can develop reading self-concept, which influence reading fluency skills and promotes the importance of goal setting in reading intervention programs. It is imperative that students monitor these goals and celebrate their progress. Students involved in multiple-component reading intervention programs show significant improvement, and students in different socioeconomic, racial, and intellectual quotient groups make equivalent gains.
Relationship between IDEA and RTI
The Individuals with Disabilities Education Act (IDEA) was revised and signed into law in 2004 and became effective in July 2006. According to the law, a specific learning disability is a disorder of one or more of the basic psychological processes that adversely affects academic achievement in one or more domains (e.g., reading, writing, math, language). There are three methods of SLD identification under IDEA, as defined in §300.8(c)(10) (OSERS Final Regulations-8/06):
- a discrepancy between "ability" and "achievement"
- failure to respond to scientific research-based intervention
- alternative research-based procedures for determining whether a child has a specific learning disability
(The "third method" is often considered a "processing strengths and weaknesses" model.)
The 2004 reauthorization of IDEA makes mention of RTI as a method of part of the process of identifying SLD:
- In diagnosing learning disabilities, schools are no longer required to use the discrepancy model. The act states that, "a local educational agency shall not be required to take into consideration whether a child has a severe discrepancy between achievement and intellectual ability[...]"
- Response to intervention is specifically mentioned in the regulations in conjunction with the identification of a specific learning disability. IDEA 2004 states, "a local educational agency may use a process that determines if the child responds to scientific, research-based intervention as a part of the evaluation procedures."
- Early Intervening Services (EIS) are prominently mentioned in IDEA for the first time. These services are directed at interventions for students prior to referral in an attempt to avoid inappropriate classification, which proponents claim an RTI model does. IDEA now authorizes the use of up to 15% of IDEA allocated funds for EIS.
RTI was included in the regulations due to considerable concerns raised by both the House and Senate Committees regarding proponents of RTI claims about the use of IQ tests to identify learning disabled students. There was also recognition in these committees of a growing body of scientific research supporting methods of pre-referral interventions that resolved learning difficulties short of classification. However, the final regulations also allow a third method of SLD identification, often considered a processing strengths and weaknesses model.
The IDEA Committee Conference Report (CCR) discusses the use of scientifically based early intervention programs, describes a model response-to-intervention program, and recommends the development of the most effective implementation of responsiveness to intervention models. The report describes such a model as an essential service for reducing the need to label children as disabled.
Evaluating SLD using RTI
First, it should be noted that whatever procedures are used to evaluate students as eligible for special education in the category of specific learning disabilities (SLD) must conform to the requirements of the IDEA regulations (2006), which indicate that a full and individual evaluation of a student suspected as having an SLD must address four qualifications. First, the evaluation must document that "...the child does not achieve adequately for the child's age or to meet State-approved grade-level standards in one or more of the following areas, when provided with learning experiences and instruction appropriate for the child's age or state-approved grade-level standards: oral expression, listening comprehension, written expression, basic reading skill, reading fluency skills, reading comprehension, mathematics calculation, mathematics problem-solving" (§300.309[a]). Second, the evaluation must document that "...(t)he child does not make sufficient progress to meet age or State-approved grade-level standards in one or more of the areas identified ...when using a process based on the child's response to scientific, research-based intervention; or (t)he child exhibits a pattern of strengths and weaknesses in performance, achievement, or both, relative to age, State-approved grade-level standards, or intellectual development, that is determined by the group to be relevant to the identification of a specific learning disability, using appropriate assessments (§300.309[a][2). Third, the evaluation must establish that the child's academic deficiencies are not the results of "...visual, hearing, or motor disabilities; mental retardation; emotional disturbance; cultural factors; environmental or economic disadvantage; or Limited English proficiency" (§300.309[a]) or of a lack of instruction ((§300.309[a]). Notably, a child must demonstrate qualifications under all four of these criteria to be identified with an SLD.
Kovaleski, VanDerHeyden and Shapiro (2013) used these IDEA regulations to operationalize how evaluation teams could utilize data collected during the provision of a multi-tier system of support in the evaluation process, particularly those data that inform the second SLD criterion of the child's failure to make sufficient progress in response scientific, research-based intervention (namely, RTI). Although evaluation teams may collect additional data after parents give permission for a full and individual evaluation, there should be ample data collected during three tiers of core instruction and robust intervention that can be analyzed to address all four of the SLD criteria.
In regard to the first SLD criterion, students undergoing multiple tiers of support have typically undergone multiple assessments of their academic skills, including annual state tests, universal screenings of all students that schools typically conduct three times per year, and academic assessments by specialists who deliver increasingly intense academic interventions. To qualify under this first criterion, the preponderance of these data should indicate a significant academic deficiency in at least one of the identified areas.
When using RTI as a component of eligibility decision-making, the school entity (school district, state) establishes a policy that identifies the option of using RTI to address the second SLD criterion (and opts not to select the option to use an assessment of the student's pattern of strengths and weaknesses). The determination that the student fails to make sufficient progress toward age or grade standards is based on an analysis of the progress-monitoring data that are collected during the provision of intensive intervention, typically at tiers 2 and 3 of a multi-tier system of support. These data consist of the results of short assessments of key academic indicators that are administered as often as once or twice weekly. These data are graphed and rates of improvement calculated so that school teams can determine whether their interventions are working. These data are then compared to the rates of improvement made by typically performing students to determine whether the interventions that are being implemented in general education are sufficient to allow the student to reach grade standards. If not, a need for special education is indicated, and the student meets the second qualification for SLD.
The process for ruling out other disabilities or conditions when using RTI is similar to that employed in other special education evaluations, and consists of procedures to ensure that sensory or intellectual disabilities or environmental disadvantage or cultural/linguistic differences are not the true cause of the student's assessed academic deficiencies. Establishing that the student's deficiencies are not the result of a lack of instruction, however, requires that the evaluation team document that the school has sufficiently provided good core instruction in the basic skills and robust interventions when students have failed to profit from typical instructional practices. The evaluation team must also show evidence that the school personnel conducted repeated assessments of the student's academic problems and communicated the results of those assessments to the student's parents. Schools that use a multi-tier system of support at a high degree of fidelity can typically readily rule out lack of instruction as a cause of the student's academic concerns. On the other hand, in enacting this provision, Congress was demonstrating a concern that students might be identified with a disability (SLD) when the actual cause of their academic failure was ineffective schooling. Identifying students with SLD in failing schools is arguably problematic.
Response to RTI
Criticisms point to delays in identifying students needing special education (which was also a concern in a 2010 OSERS Memorandum), difficulties in accurately determining the presence of a learning disability, and the amount of training needed by general education teachers. RTI can require additional work for teachers, and a potentially significant change in expectations represents a great source of resistance toward RTI.
Another criticism of RTI is that while its core assumptions include "that the educational system can effectively teach all children," interpretations of the approach often do not account for gifted education. An inverted pyramid showing analogous increasing interventions for gifted children could be added to the model so that all children are addressed. A framework for such an approach has been developed by the Montana Office of Public Instruction.
Concerns and criticisms of RTI for SLD classification
Criticisms of the RTI model first surfaced in 2004 when IDEA identified it as a viable method for use in SLD eligibility determination Some feel that RTI is valuable for prevention, but see little empirical support for using RTI to determine learning disabilities, and have concern that it could be used to delay or deny services to children with learning disabilities. Some also argue that there are many unanswered questions about RTI implementation, and that proponents have tended to gloss over or ignore criticisms of the RTI approach. Several major research efforts have supported these contentions through findings suggesting that RTI does not produce reliable sets of responders and non-responders. If RTI does not produce reliable sets of responders/nonresponders, it would be difficult to use this approach to determine learning disabilities.
Technology application to RTI
Technology is becoming increasingly important in improving instructional practices and student achievement. Tools that educators can utilize within their classrooms include weblogs, wikis, RSS aggregators, social bookmarking, online photo galleries, audio/visual casting, Twitter, and social networking sites. Many of these tools can be used for team-based learning and in facilitating students' use of higher forms of thinking such as analysis, evaluation, and synthesis.
Properly integrated technology can increase student learning in areas such as motivation, collaborative learning, critical thinking, and problem solving. Some techniques that have been found to work in education include: identifying similarities and differences; summarizing and note taking; reinforcing effort and providing recognition; assigning homework and practice; utilizing graphic representations of concepts; cooperative learning; providing objectives and feedback; generating and testing hypotheses; providing cues and questions; and using advanced organizers. Technology-rich environments can also be effective for at-risk students, and can motivate students to stay in school and hopefully lessen the achievement gap.
Computer Assisted Instruction (CAI), has been studied for its effects on lower achieving students. The effectiveness has been attributed to it being non-judgmental and motivational, while giving immediate and frequent feedback, individualizing learning to meet the students' needs, allowing for more student autonomy, and providing multi-sensory components (Barley et al., 2002, p. 97). A review of 17 different studies found that CAI positively affected scores in mathematics and literacy for all grade levels and significantly improving scores for students labeled "at-risk" (Barley et al., 2002, p. 105).
Technology can also effectively help teach basic literacy skills such as phonemic awareness, alphabetic principle, word recognition, alliteration, and comprehension. Today the use of specialized educational software applications can help support and enhance students' literacy skills. Presentation software such as PowerPoint can be used to enhance young children learning experience. The use of pictures, colors, sounds, animation, slide designs, or slide transitions can be easily implemented into a literacy lesson, and such software has been used, for example, to help students with autism learn and respond to activity schedules.
For young learners, the use of animation directs their attention to important features and prompts them to help ensure correct responses. Teachers can create literacy lessons with attention-grabbing elements such as moving graphic images. For example, a teacher might focus on the initial /d/ sound in the word "dog" as an instructional goal; a presentation slide for this would show a picture of a dog, and the teacher would select three possible letters to represent the initial sound in dog, such as /b/, /c/, and /d/. After showing the picture of the dog, and then displaying each of the three letter choices one-by-one, the teacher would ask the student what letter he or she thinks "dog" starts with. Other types of presentation software for literacy instruction, such as Photo Story, can allow teachers to add a variety of special effects, soundtracks, captions, and their own voice narration to the photo stories.
- Ysseldyke, J., Thurlow, M., Graden, J., Wesson, C., Algozzine, B., & Deno, S. L. (1983). "Generalizations from five years of research on assessment and decision-making: The University of Minnesota Institute". Exceptional Education Quarterly. 4: 75–93.
- National Association of State Directors of Special Education. (2005). Response to intervention: Policy considerations and implementation. Alexandria, VA: NASDSE, Inc.
- Rachel M. Stewart, Ronald C. Martella, Nancy E. Marchand-Martella and Gregory J. Benner (2005). "Three-Tier Models of Reading and Behavior" (PDF). JEIBI. 2 (3): 115–124.
- "Response to Intervention (RTI): A Primer for Parents" (PDF). National Association of School Psychologists.
- Gresham, F., Reschly, D., & Shinn, M. R. (2010). "RTI as a driving force in educational improvement: Historical legal, research, and practice perspectives". In M. R. Shinn & H. M. Walker. Interventions for achievement and behavior problems in a three-tier model, including RTI. Bethesda, MD: National Association of School Psychologists. pp. 47–77.
- "Language & Math". Archived from the original on June 26, 2009.
- Gresham, F.M. (2004). "Current status and future directions of school-based behavioral interventions". School Psychology Review. 33 (3): 326–343.
- Hale (2006) first presented a model that included Standard Protocol Model RTI at Tier 1, Problem-Solving Model RTI at Tier 2, and individualized special education at tier 3.
- Jenkins, J.R. (December 2003). Candidate measures for screening at-risk students. NRCLD Responsiveness-to-Intervention Symposium. Kansas City, MO. Retrieved April 3, 2006.
- Deno, S. L. (1985). "Curriculum-based measurement: The emerging alternative". Exceptional Children. 52 (3): 219–232. PMID 2934262.
- Lovett, M. W.; De Palma, M.; Frijters, J.; Steinbach, K.; Temple, M.; Benson, N.; Lacerenza, L. (2008). "Interventions for reading difficulties: A comparison of response to intervention by ELL and EFL struggling readers.". Journal of Learning Disabilities. 41 (4): 333–352. doi:10.1177/0022219408317859.
- Suggate, S. P. (2010). "Why what we teach depends on when: Grade and reading intervention modality moderate effect size.". Developmental Psychology. 46 (6): 1556–1579. doi:10.1037/a0020612.
- Ruiz, M.I. (2012). "Training school personnel on implementation of check-in–check-out behavioral interventions". Communique. 41 (1): 7–10. ISSN 0164-775X.
- Paris, S.G & Paris, A.H. (2001). "Classroom applications of research on self-regulated learning" (PDF). Educational Psychologist. 36 (2): 89–101. doi:10.1207/S15326985EP3602_4.
- Sawyer (2006). "The new science of learning". Cambridge Handbook of the Learning Sciences. Cambridge: Cambridge University Press. pp. 1–18.
- Hughes, Charles A., and Douglas D. Dexter (2011). "Response To Intervention: A Research-Based Summary". Theory Into Practice. 4–11. 50 (1): 4–11. doi:10.1080/00405841.2011.534909.
- Council of Administrators of Special Education; National Association of State Directors of Special Education; American Association of School Administrators (2010). Response to Intervention Adoption Survey. Spectrum K-12 School Solutions. p. 2.
- Burns, Matthew; Appleton, James; Stehouwer, Jonathon (2005). "Meta-analysis of response-to-intervention research: Examining field-based and research-implemented models.". Journal of Psychoeducational Assessment. 23: 381–394. doi:10.1177/073428290502300406.
- Johnson, E., Mellard, D.F., Fuchs, D., & McKnight, M.A. (2006). Responsiveness to intervention (RTI): How to do it. Lawrence, KS: National Research Center on Learning Disabilities.
- Burns, Matthew; Gibbons, Kimberly (2012). Implementing response to intervention in elementary and secondary schools: Procedures to assure scientific-based practices (2nd ed.). Routledge.
- Fuchs, D., Mock, D., Morgan, P. L., & Young, C. L. (2003). "Responsiveness-to-Intervention: Definitions, evidence, and implications for the learning disabilities construct" (PDF). Learning Disabilities Research and Practice. 18 (3): 157–171. doi:10.1111/1540-5826.00072.
- Christ, Theodore; Burns, Matthew; Ysseldyke, James (2005). "Conceptual confusion within response-to-intervention vernacular: Clarifying meaningful differences.". NASP Communique. 34 (3): 1, 6–8.
- Shapiro, E., Zigmond, N., Wallace, T., & Marston, D. (2011). Models for Implementing Response to Intervention. New York: Guilford Press. pp. 377–394. ISBN 978-1-60918-124-6.
- Sawyer, Holland, & Detgen, R., D., & A. "State policies and procedures and selected local implementation practices in response to intervention in the six southeast region states" (PDF). National Center for Education Evaluation and Regional Assistance, regional educational laboratory southeast. Retrieved Feb 6, 2015.
- AE Farstrup (2007). "RTI: A vital concern for reading professionals". Reading Today. 25 (3): 17.
- Buffum,A., Mattos, M., & Weber,C. (2010). "The why try behind RTI: Response to Intervention flourishes when educators implement the right practices for the right reasons." Educational Leadership, Oct. 2010, 10–16
- Pearce, I. R. (2009). "Helping children with emotional difficulties: A response to intervention investigation" (PDF). The Rural Educator. 30 (2): 34–36.
- Quirk, M.; Schwaneflugel, P. J.; Webb, M. Y. (2009). "A short-term longitudinal study of the relationship between motivation to read and reading fluency skill in second grade.". Journal of Literacy Research. 41: 196–227. doi:10.1080/10862960902908467.
- Morris, R. D.; Lovett, M. W.; Wolf, M.; Sevcik, R. A.; Steinbach, K. A.; Frijters, J. C.; Shapiro, M. B. (2012). "Multiple-component remediation for developmental reading disabilities: IQ, socioeconomic status, and race as factors in remedial outcome.". Journal of Learning Disabilities. 45 (2): 99–127. doi:10.1177/0022219409355472.
- "Q&A on Response to Intervention and Early Intervening Services". ed.gov.
- "Response to Intervention in the Individuals with Disabilities Education Act (IDEA)" (PDF). 2004.
- Kovaleski, J.F.; VanDerHeyden, A.M.; Shapiro, E.S. (2013). The RTI approach to evaluating learning disabilities. Guilford. ISBN 978-1-4625-1154-9.
- "2010 OSERS Memorandum" (PDF).
- Hale, J.; et al. (2010). "Critical Issues in response-to-intervention, comprehensive evaluation, and specific learning disabilities identification and intervention: An expert white paper consensus" (PDF). Learning Disability Quarterly. 33 (3): 223–236.
- Richards, C.; et al. (Fall 2007). "Response to Intervention: Building the Capacity of Teachers To Serve Students with Learning Difficulties" (PDF). Teacher Education. 16 (2): 55–64.
- "Response to Intervention (RtI) and Gifted and Talented Education (GT)" (PDF). Montana Office of Public Instruction. Fall 2009.
- Hale, J.B., Naglieri, J.A., Kaufman, A.S., & Kavale, K.A. (2004). "Specific learning disability classification in the new Individuals with Disabilities Education Act: The danger of good ideas". The School Psychologist. 58 (1): 6–14.
- Reynolds, C. R., & Shaywitz, S. E. (2009). "Response to intervention: Remediation, perhaps, diagnosis, no". Child Development Perspectives. 3 (1): 44–47. doi:10.1111/j.1750-8606.2008.00075.x. PMC . PMID 20161671.
- Fuchs, D., & Deshler, D. D. (2007). "What we need to know about responsiveness to intervention (and shouldn't be afraid to ask)" (PDF). Learning Disabilities Research & Practice. 22 (2): 129–136. doi:10.1111/j.1540-5826.2007.00237.x.
- Barth, A. E., Stuebing, K. K., Anthony, J. L., Denton, C. A., Mathes, P. G., Fletcher, J. M., & Francis, D. J. (2008). "Agreement among response to intervention criteria for identifying responder status". Learning and Individual Differences. 18 (3): 296–307. doi:10.1016/j.lindif.2008.04.004. PMC . PMID 19081758.
- Fuchs, D., Fuchs, L. S., & Compton, D. L. (2004). "Identifying reading disabilities by responsiveness to instruction: Specifying measures and criteria" (PDF). Learning Disability Quarterly. 27 (4): 216–227. doi:10.2307/1593674.
- Speece, D.L. (2005). "Hitting the moving target known as reading development: Some thoughts on screening children for secondary interventions". Journal of Learning Disabilities. 38 (6): 487–493. doi:10.1177/00222194050380060301. PMID 16392689.
- Fuchs, D., & Fuchs, L. S. (2006). "Introduction to response to intervention: What, why, and how valid is it?" (PDF). Reading Research Quarterly. 41 (1): 93–99. doi:10.1598/RRQ.41.1.4.
- Richardson, Will (2010). Blogs, wikis, podcasts, and other powerful web tools for classrooms. Thousand Oaks, CA: Corwin.
- Schacter, J; Fagnano (1999). "Does computer technology improve student learning and achievement? How, when, and under what conditions?". Journal of Educational Computing Research. 20 (4): 329–343. doi:10.2190/vq8v-8vyb-rkfb-y5ru.
- Marzano, R (1998). "A theory-based meta-analysis of research on instruction. Aurora, CO: Mid-continent Research for Education and Learning".
- Collins, A; Halverson (2009). Rethinking Education in the Age of Technology. New York, NY: Teachers College Press.
- Barley, Z; Lauer, P. A.; Arens, S. A.; Apthrop, H. S.; Englert, K. S.; Snow, D.; Akiba, M (2002). Helping at-risk students meet standards: A synthesis of evidence-based classroom practices. Centennial, CO: Mid-continent Research for Education and Learning.
- Grabe (2007). "Using Animation in Microsoft PowerPoint to Enhance Engagement and Learning in Young Learners with Developmental Delay". Teaching Exceptional Children: 58–65.
- Parette, H; Blum, C.; Hourcade, J.J (January 2010). "Article".
||This article includes a list of references, but its sources remain unclear because it has insufficient inline citations. (December 2011) (Learn how and when to remove this template message)|
- Bol, Beste; Kaplan, Melike D.; Piskin, Burak (April 2010). "Educational Blogging: Integrating Technology into Marketing Experience". Journal of Marketing Education. 32 (1): 50–63. doi:10.1177/0273475309335652.
- Briere, D., Myers, D., & Simonsen, B. (2011). "Comparing a Behavioral check-in/check-out (cico) intervention to standard practice in an urban middle school setting using an experimental group design". Journal of Positive Behavior Interventions. 13 (1): 31–48. doi:10.1177/1098300709359026.
- Cheney, D., Lynass, L., Mielenz, C., Stage, S. (2011). "Three validity studies of the daily progress report in relationship to the check, connect, and expect Intervention". Journal of Positive Behavior Interventions. 35 (6). doi:10.9830/0712438942.
- Dixon, S. G., Eusebio, E. C., Turton, W. J., Wright, P. W. D., & Hale, J. B. (2011). "Forest Grove School District v. T.A. Supreme Court case: Implications for school psychology practice". Journal of Psychoeducational Assessment. 29: 103–113. doi:10.1177/0734282910388598.
- Fairbanks, S., Simonsen, B., & Sugai, G. (2008). "Class wide secondary and tertiary tier practices and systems". Teaching Exceptional Children. 40 (6): 44–52. doi:10.1177/004005990804000605.
- Flanagan, D. P., & Alfonso, V. C., eds. (2010). Essentials of specific learning disability identification. Hoboken, NJ: John Wiley & Sons.
- Fletcher-Janzen, E., & Reynolds, C. R., eds. (2008). Neuropsychological perspectives on learning disabilities in the era of RTI: Recommendations for diagnosis and intervention. Hoboken, NJ: John Wiley & Sons. pp. 14–27.
- Fuchs, D., Hale, J. B., & Kearns, D. (2011). "Cognitive and neuropsychological assessment data that inform educational intervention: An introduction to the special issue and critical analysis". Journal of Learning Disabilities. 44: 99–104.
- Hale, J. B. (2006). "Implementing IDEA with a three-tier model that includes response to intervention and cognitive assessment methods". School Psychology Forum: Research and Practice. 1: 16–27.
- Hale, J. B., Wycoff, K. L., & Fiorello, C. A. (2010). "RTI and cognitive hypothesis testing for specific learning disabilities identification and intervention: The best of both worlds". In D. P. Flanagan & V. C. Alfonso. Essentials of specific learning disability identification. Hoboken, NJ: John Wiley & Sons. pp. 173–202.
- Heath, C. & Heath, D. (2007). "Introduction". Made to Stick: Why Some Ideas Survive and Others Die. New York, NY: Random House. pp. 3–24.
- Hoyle, C. G., Marshall, K. J., & Yell, M. L. (2011). "Positive behavior supports: Tier two interventions in middle schools". Preventing School Failure. 55 (3): 164–170. doi:10.1109/80387408346083.
- Lenhart, A., Madden, M., Macgill, A.R., & Smith, A. (December 19, 2007). "Teen content creators". Pew Internet and American life project. Retrieved May 15, 2011.
- Machek, G. R., & Nelson, J. M. (2010). "School psychologists' perceptions regarding the practice of identifying reading disabilities: Cognitive assessment and response to intervention considerations". Psychology in the Schools. 47 (3): 230–245. doi:10.1002/pits.20467.
- Marzano, R. J., Pickering, D. J., & Pollock, J. E. (2001). Classroom instruction that works. Alexandria, VA: Association for Supervision and Curriculum Development.
- Mather, N., & Gregg, N. (2006). "Specific learning disabilities: Clarifying, not eliminating, a construct". Professional Psychology: Research and Practice. 37: 99–106. doi:10.1037/0735-7028.37.1.99.
- McIntosh, K., Campbell, A. L., Carter, D., & Dickey, C. (2009). "Differential effects of a tier two behavior intervention based on function of problem behavior". Journal of Positive Behavior Interventions. 11 (2): 82–93. doi:10.1177/1098300708319127.
- Mid-continent Research for Education and Learning. (Eric Document Reproduction Service No. ED 427 087)
- "National Educational Plan". 2005. Retrieved September 25, 2005.[dead link]
- National Center for Education Education Evaluation (2009). "Assisting Students Struggling with Mathematics: Response to Intervention (RtI) for Elementary and Middle Schools".
- NetDay News (March 8, 2005). "NetDay's 2004 Survey results show 58 percent of students have cell phones, 60 percent e-mail or IM adults on a weekly basis". Retrieved September 25, 2005.
- Pavri, S. (2010). "Response to intervention in the social-emotional-behavioral domain: Perspectives from urban schools". Teaching Exceptional Children Plus. 6 (3).
- Pilter, H., Hubbell, E., Kuhn, M. & Malenoski, K. (2007). "Introduction". Using Technology with Classroom Instruction that Works. MacRel, Colorado: ASCD. pp. 1–14.
- Reynolds, C. R., & Shaywitz, S. E. (2009). "Response to intervention: Ready or not? Or, from wait-to-fail to watch-them-fail". School Psychology Quarterly. 24: 130–145. doi:10.1037/a0016158.
- Richardson, W. (2010). Blogs, wikis, podcasts, and other powerful web tools for classrooms. Thousand Oaks, CA: Corwin.
- Russell, J. and D. Sorge (1999). "Training facilitators to enhance technology integration". Journal of Instruction Delivery Systems. 13 (4).
- Sadler, C. & Sugai, G. (2009). "Effective behavior and instructional support: A district model for early identification and prevention of reading and behavior problems". Journal of Positive Behavior Interventions. 11 (1): 35–46. doi:10.1177/1098300708322444.
- Sayeski, K. L., & Brown, M. R. (2011). "Developing a classroom management plan using a tiered approach". Teaching Exceptional Children. 44 (1): 8–17. doi:10.1177/004005991104400102.
- Simonsen, B., Sugai, G., & Negron, M. (2008). "School wide positive behavior supports: Primary systems and practices". Teaching Exceptional Children. 40 (6): 32–40. doi:10.1177/004005990804000604.
- Treleaven, L., & Voolla, R. (2008). "Integrating the development of graduate attributes through constructive alignment". Journal of Marketing Education. 30: 160–167. doi:10.1177/0273475308319352.
- JK Klingner, PA Edward (2006). "Cultural Considerations With Response to Intervention Models" (PDF). Reading Research Quarterly. 41 (1): 108–117. doi:10.1598/RRQ.41.1.6.
- FM Gresham; et al. (2004). "Comprehensive evaluation of learning disabilities: A response to intervention perspective" (PDF). The School Psychologist. 59 (1): 26–30.[dead link]
- PA Edwards (2006). "Cultural considerations with Response to Intervention models" (PDF). Reading Research Quarterly.
- AM VanDerHeyden, SR Jimerson (2006). "Using Response-to-Intervention to Enhance Outcomes for Children" (PDF). California School Psychologist. 10 (1): 21–32. doi:10.1007/BF03340918. Archived from the original (PDF) on September 27, 2007.
- DW Barnett, EJ Daly III, KM Jones, FE Lentz Jr (2004). "Response to Intervention" (PDF). Journal of Special Education. 38 (2): 66–79. doi:10.1177/00224669040380020101.
- Shinn, M. R. (2007). "Identifying Students at Risk, Monitoring Performance, and Determining Eligibility Within Response to Intervention: Research on Educational Need and Benefit from Academic Intervention". School Psychology Review. 36 (4): 601–617.
- Jimerson, S. R., Burns, M. K., & VanDerHeyden, A. M. (2007). "Response to Intervention at School: The Science and Practice of Assessment and Intervention". In S. R. Jimerson, M. K. Burns, & A. M. VanDerHeyden. Handbook of Response to Intervention: The Science and Practice of Assessment and Intervention. New York: Springer. pp. 3–9. doi:10.1007/978-0-387-49053-3_1.
- Healy, K., Vanderwood, M., & Edelston, D. (2005). "Early Literacy Interventions for English Language Learners: Support for an RTI Model". The California School Psychologist. 10 (1): 55–63. doi:10.1007/BF03340921.
- Fuchs, D., Compton, D. L., Fuchs, L. S., Bryant, J., & Davis, G. N. (2008). "Making "Secondary Intervention" Work in a Three-Tier Responsiveness-to-Intervention Model: Findings from the First-grade Longitudinal Reading Study of the National Research Center on Learning Disabilities". Read Write. 21 (4): 413–436. doi:10.1007/s11145-007-9083-9.
- Fuchs, L. S., & Fuchs, D. (2006). "A Framework for Building Capacity for Responsiveness to Intervention" (PDF). School Psychology Review. 35 (4): 621–626.