Many students in schools in the United States today are considered at-risk in their reading ability. The disproportionate number of students making inadequate progress places the fate of students at stake. Response to Intervention (RTI) was created to support student growth in reading while reducing the number of students requiring testing for…

Progress monitoring data are central to making informed decisions on intervention intensification for struggling learners. The general outcome measure (GOM) of curriculum-based measurement of oral reading fluency (CBM-R) has been found to correlate with high-stakes assessment; however, data are highly variable, resulting in decisions that must be…

Schooling in Australia has become subject to increased processes of data-based governance. This article draws upon the insights of an experienced teacher, 'Meriam', who, having taught more than 34-years over almost a 50-year span, reflected upon the nature of such changes. Utilising theorising in relation to datafication processes and…

Leading an individualized education program (IEP) meeting can be a daunting task for special education teachers, particularly if they want to make changes to the status quo when it comes to inclusive opportunities for students with higher support needs. This article explores how special educators can begin to advocate for that change within their…

In an international policy environment of intensified high-stakes accountability, pupil assessment data are an invaluable commodity and critical indicator of both school and teacher effectiveness. Teachers' engagement with pupil data and the associated experiences of increased accountability are of great consequence, and highly contentious for…

This study aimed at understanding and investigating the lived experiences of early childhood teachers' observation practices as a professional tool. Interpretative phenomenological approach was utilized to investigate participants' experiences deeply from their lived experiences. The current study's participants consisted of five early childhood…

States can and should continue to measure student growth in 2021. Growth data will be crucial to understanding how school closures due to COVID-19 have affected student progress and what supports they will need to get back on track. Education leaders will also need growth data to ensure that any recovery efforts are equitable as well as effective…

The road to successful reading can be a tumultuous journey for many students entering middle school. The ability to read text out loud in both an accurate and quick manner is what determines a fluent reader. Additionally, the prosody, or melody, expression and flow while reading leads to good reading comprehension. There are an alarming number of…

Data-based problem solving within a multi-tiered system of support (MTSS) can help state education agencies and local education agencies (LEAs) improve graduation rates for students with disabilities. To facilitate problem solving within an MTSS, states and LEAs need efficient systems and processes for analyzing and integrating data across…

In 2013, staff at the Australian Council for Educational Research (ACER) Centre for Global Education Monitoring (GEM) identified the need to build measurement tools to monitor learning growth that could be used across different year levels and in different national contexts. One of those projects, under ACER's Monitoring Trends in Educational…

Reading proficiency is fundamental to school success. However, up to 50% of students with reading disabilities are not making adequate progress. Students who demonstrate persistent and severe reading difficulties require increasingly intensive instruction individualized to meet their instructional needs Individualizing instruction with…

This article describes data-based individualization (DBI) as a continuous process connecting assessment and intervention in mathematics for students with disabilities. DBI provides teachers with an evidence-based method for individualizing interventions for students who do not demonstrate adequate response. Assessment data gathered through the use…

This quantitative study investigated current data-based instructional decision-making (DBIDM) practices of K-3 general education teachers implementing a MTSS/RTI model to address students' academic needs. A thirty-item electronic survey was designed to examine and measure aspects of K-3 general education teachers' formative data use and…

Technology makes it easier than ever for educators to generate meaningful, ongoing data to inform their teaching, track student progress, and personalize learning. When the author began to explore how she could use technology to quickly assess student skills, data became exciting and took on a new role in her teaching practice. Now she uses data…

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…