The idea of data-based decision-making (DBDM) at the classroom level is that teachers use assessment data to adapt their instruction to students' individual needs and thus improve students' learning progress. In this study, we first investigate this theoretically assumed DBDM process, and second, we evaluate the effectiveness of teacher support on…

Preparing teacher candidates to analyze achievement data is necessary to develop the understanding of how academic data is collected and used to inform instruction. Collecting achievement data in the area of literacy includes a variety of assessments focused on reading and writing. A critical component of analyzing data involves working in…

Elementary school teachers struggle to collect and use reading progress data to make instructional decisions. Collecting and interpreting reading progress data when making instructional decisions allows districts to identify and support students who need early reading intervention and may protect districts from Free Appropriate Public Education…

This paper is a research dissertation based on a qualitative case study conducted on Teachers' Experiences within a Data-Driven Decision Making (DDDM) process. The study site was a Title I elementary school in a large school district in Central Florida. Background information is given in relation to the need for research that was conducted on the…

School psychologists regularly use decision rules to interpret student response to intervention in reading. Recent research suggests that the accuracy of those decision rules depends on the duration of progress monitoring, the number of observations available, and the amount of measurement error present. In this study, we extended existing…

The primary purpose of the Minnesota Migrant Education Program (MEP) is to help migrant children and youth overcome challenges of mobility, frequent absences, late enrollment into school, social isolation, and other difficulties associated with a migratory life, in order that they might succeed in school. Furthermore, the Minnesota MEP must give…

Does data use make a difference in student achievement? Despite the field's optimism on this matter, relatively few studies have attempted to quantify the effects of data use. These studies have often used the presence of a data use intervention (e.g., a data system or data coaching) as a proxy for use, as opposed to tracking teachers' direct…

This report presents a question-driven exploration of growth and achievement data using SAS EVAAS reports. The purpose of this exploration was to bring additional data, information, and ways of thinking about student growth to ongoing district conversations about the measurement of campus-level student growth.

To help provide context to Measures of Academic Progress® (MAP®) normative percentiles, this document includes multiple College and Career Readiness (CCR) benchmarks, including those from ACT® and Smarter Balanced Assessment Consortium (Smarter Balanced).

Prototype work can support the creation of data visualizations throughout the research and development process through paper prototypes with sketching, designed prototypes with graphic design tools, and functional prototypes to explore how the implementation will work. One challenging aspect of data visualization work is coordinating the expertise…

The purpose of this study was to consider the sociolinguistic impact of philosophical instability on reading comprehension achievement of students who are deaf and hard of hearing at a state school for the deaf. The research conducted examined the sociolinguistic impact by investigating the following: (1) what non-malleable factors influenced…

This study explored the data-based decision making of 12 teachers in grades 6-8 who were asked about their perceptions and use of three required interim measures of reading performance: oral reading fluency (ORF), retell, and a benchmark comprised of released state test items. Focus group participants reported they did not believe the benchmark or…

This paper provides an overview of the various data sets pertaining to education in South Africa that are informing or could inform policy making in education. The paper serves as an inventory for anyone interested in understanding what data is available, how it may be accessed, what the quality of the data is, and in what formats it may be…

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…

To meet the constantly changing needs of schools and diverse learners, educators must frequently monitor student learning, revise curricula, and improve instruction. Consequently, it is critical that careful analyses of student performance data are ongoing components of curriculum decision-making processes. The primary purpose of this study is to…