There is evidence that data-based decision-making (DBDM) can improve outcomes for a wide range of students. However, less is known about how special education teachers are trained to use data to inform instruction that targets academic progress for students with extensive support needs (ESN). The purpose of this systematic literature review was to…

Purpose: Drawing from the equitable education fund (EEF) launching 6Qs innovation in the teacher school quality program (TSQP) for small and medium schools, this research aims to analyze the effect size of the ordinary national educational test (O-NET) scores between TSQP schools that implement 6Qs innovation and non-TSQP schools and explain the…

Special education and related professionals often understand the importance of adhering to intervention procedures (i.e., fidelity), but may be less familiar with concepts of intervention intensity. In some cases, professionals may correctly apply an intervention, but with insufficient intensity. This can result in an intervention failing to…

The purpose of this logistic regression study was to identify predictors of teacher-reported sustained use of data-based instruction (DBI) during the COVID-19 pandemic and assess the extent to which the identified predictors explained teachers' sustained use after completing programmatic support for intensive early writing instruction. We surveyed…

Concordance-based Data-Driven Learning (DDL) aims to help second language learners infer language usage rules from language usage regularities. A number of DDL pedagogical treatments have focussed on phraseological units such as collocations, widely recognised as a central component of second language learning. This study evaluates DDL effects…

This publication is part of the Leading by Exemplar project, a multi-year study conducted by Bellwether Education Partners. In this project, every aspect of the Head Start exemplars' program design and practice was closely examined in an effort to understand each program's "secret sauce." Leading by Exemplar has three goals: (1) to…

This publication is part of the "Leading by Exemplar" project, a multi-year study conducted by Bellwether Education Partners. In this project, every aspect of the Head Start exemplars' program design and practice was closely examined in an effort to understand each program's "secret sauce." Leading by Exemplar has three goals:…

Programs serving infants and toddlers are expected to use child data to inform decisions about intervention services; however, few tools exist to support these efforts. The Making Online Decisions (MOD) system is an adaptive intervention that guides early educators' data-based intervention decision making for infants and toddlers at risk for…

This evaluation brief describes how Wisconsin is implementing an equitable multi-level system of supports (MLSS) framework, also known as a multi-tiered system of supports (MTSS), and how schools implementing this framework with both a behavior and reading focus have shown positive outcomes for all students. The data analyzed in this brief were…

The College and Career Readiness Expansion project was a five-year, federally funded effort to implement early college strategies in comprehensive high schools. This report presents the results from a quasi-experimental impact study of the project and a mixed methods examination of its implementation. Results showed that the program increased the…

The Multi-Tiered System of Support (MTSS) framework, which uses a systems approach to promote school improvement and support all students in improving academics and behavior using data-based problem-solving, is a key part of the Wake County Public Schools System (WCPSS) Strategic Plan. As of 2017-18, MTSS schools were at the initial stages of MTSS…

Research from 6 years of AISD REACH suggested the program likely influenced student performance, teacher practices, and novice teacher retention. However, little evidence showed schoolwide growth or retention stipends facilitated desired results.