The purpose of this quantitative study was to provide school district leaders and policymakers information of the impact grade configuration had on academic performance using math and ELA ILEARN scores over a three-year period. The study included data from 585 schools that were classified into four groups: Elementary Setting, Intermediate Setting,…

Public school teachers are at the forefront of education in the United States; they must employ methods such as data-driven decision making (DDDM) to ensure that all students are learning. Quality decision making is vital in this age of accountability under the No Child Left Behind Act (NCLB) that includes mandated state testing such as the…

The research reported in this paper explores the applicability and efficacy of a variant of problem-based learning, the Preparation for Future Learning (PFL) approach, to teaching and learning within the context of a cross-curricular, middle school data literacy unit called "Thinking with Data" (TWD). A quasi-experimental design was used…

The purpose of this study was to determine how teacher perceptions of data and use of data-driven instruction affect student performance in English language arts (ELA). This study investigated teachers' perceptions of using data in the classroom and what supports they need to do so. The goal of the research was to increase the level of knowledge…