This module, developed as part of the National Center on
Intensive Interventions data - based individualization series.
Not exact matches
New research using
data from the reputable Look AHEAD study suggests doctors may want to look at results from a patient's first two months of
intensive lifestyle
intervention (ILI) to help predict his or her long - term success.
He has a particular emphasis on translational research, including the design of
data -
intensive, assay - rich clinical
intervention and monitoring studies.
Heckman's generalizations are to present public childcare policies, but his
data are from the Abecedarian project, an
intensive birth - to - five early childhood
intervention program delivered to roughly 50 children who were judged at birth to be at risk of mental retardation.
Other features include a multi-tiered support system (primary prevention for all students and targeted or
intensive supports and
interventions for at - risk students) and
data - based decision making.
National Center on
Intensive Intervention The mission of this center is to build district and school capacity to support implementation of
data - based individualization in reading, mathematics, and behavior for students with persistent learning and / or behavioral needs.
A
data guided, tiered student support system that uses early warning indicators and an integrated system of whole school, targeted and
intensive supports to get the right
intervention, to the right student, at the right time at the scale and intensity required (along with rapid recovery options when this does not work).
Intensive instruction and
intervention (Tier 3) needs to involve
data - based
interventions adapted to student needs and address the general curriculum in an appropriate manner for students.
All of the following conditions must be met: (1) the
intervention is individualized; (2)
intensive interventions are led by well - trained staff experienced in individualizing instruction based on student
data; and (3) the group size is optimal (according to research) for the age and needs of students.
Universal screening provides
data to educators to (a) evaluate the effectiveness of core instruction; (b) determine what are the critical current instructional needs of students in classrooms right now; (c) determine which students might need additional instruction (i.e.,
intervention); (d) and, at what level
intervention is needed, i.e., Tier 2 (strategic) or Tier 3 (
intensive).
Functional assessment,
data - based problem - solving, and strategic and
intensive intervention processes — both in the academic or social - emotional - behavioral areas — when students do not respond to effective classroom instruction or effective classroom management, respectively.
Examples may include systems science approaches (e.g., computational modeling and simulation, network analysis, and engineering control methods) to conceptualize prevention at the micro - or macro-levels of analyses; alternative
intervention designs for when randomization is not possible; new methods for optimization of
interventions; adaptive
interventions and SMART designs; and innovative analytic approaches including time varying effect models, and models for incorporating
intensive longitudinal
data and / or real time
data capture in prevention science research.
Chris Lemons:
Intensive interventions are
interventions that require professionals to make decisions using
data to improve instruction for individual students that have not responded to standard protocol at Tier 1 and Tier 2.
This section spotlights experiences and lessons learned from those implementing
intensive intervention in schools, districts, states, and teacher preparation programs as well as new research related to
intensive intervention and
data - based individualization (DBI).
This training module provides a rationale for
intensive intervention and an overview of
data - based individualization (DBI), NCII's approach to providing
intensive intervention.
Led by a nationally recognized educator, this
intensive training focuses on improving every step of the instructional cycle, from breaking down standards and building the best CFAs to using
data to plan meaningful
interventions.
If I had the opportunity to meet with a new school administrator regarding implementing
intensive interventions within their school or district, I would advise them to focus on four main components of a multi-tiered systems of support (MTSS): (1) establishing a student - focused culture in your building, (2) establishing efficient procedures for
data collection and analysis, (3) establishing a strong core instructional program and (4) focusing on continuous improvement.
Successful implementation of
intensive intervention using
data - based individualization (DBI) is more likely to occur in schools that have a well - functioning tiered system of support, commonly called a multi-tiered system of support (MTSS), response to
intervention (RTI), or positive behavioral
interventions and supports (PBIS), depending on your location and area of focus.
The quality and fidelity of Tier 1 and Tier 2 supports, the use of valid and reliable progress monitoring measures, and the implementation of
data - based decision rules and
data meeting structures essential to MTSS set the foundation for successful implementation of
intensive intervention through DBI.
The second essential component of implementing effective MTSS systems and
intensive intervention would be an efficient
data collection and analysis tool.
Using Achieve3000's built - in reports, administrators can then work with teachers to develop a
data - driven plan that identifies which students need more
intensive instruction and targets the specific skills or standards that need to be re-taught or reinforced, so that all struggling students can get the
intervention they need exactly when and how they need it.
This webinar, presented by Dr. Rebecca Zumeta Edmonds, provides an overview of the Center's approach to providing
intensive interventions: the
data - based individualization process, or DBI, in academics.
Do you have questions about
data - based individualization and implementing
intensive intervention for students with severe and persistent academic and behavioral needs?
Over the three days we will form a community - led action research lab that brings together artists, researchers,
data scientists, and activists, as well as community participants in an ambitious and
intensive programme of experiments,
interventions and performances.
Less -
intensive interventions that provide parent training also may be useful for younger children with ASDs, particularly for improving social communication, language use, and, potentially, symptom severity and family functioning, but the current evidence base for such treatment remains insufficient.17, 18,27 Although parent - training programs can modify parenting behaviors during interactions,
data are limited about their contribution to specific improvements in the short - term and long - term beyond simple language gains for some children.
Other features include a multi-tiered support system (primary prevention for all students and targeted or
intensive supports and
interventions for at - risk students) and
data - based decision making.