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Bret Bailey – ProQuest LLC, 2024
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,…
Descriptors: Academic Achievement, Grade 6, Data, Mathematics
Jackson, Jo-Anne Kelly – ProQuest LLC, 2012
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…
Descriptors: Criterion Referenced Tests, Teacher Competency Testing, Phenomenology, Middle School Teachers
Kronholz, June – Education Next, 2012
Data-driven instruction began its spread across the country about a decade ago, in the footsteps of the No Child Left Behind requirement that schools administer yearly achievement tests. Those tests didn't help teachers spot and backfill learning gaps, though. Scores came back after everyone had moved on to the next grade, and anyway, the tests…
Descriptors: Academic Achievement, Charter Schools, Test Results, Data
van 't Hooft, Mark; Vahey, Philip; Swan, Karen; Kratcoski, Annette; Cook, Dale; Rafanan, Ken; Stanford, Tina; Yarnell, Louise – Middle Grades Research Journal, 2012
Data literacy is recognized as a critically important skill in today's society, but thinking with and about data is often ignored in K-12 curricula. The Thinking With Data (TWD) project advocates that data literacy is a skill that should be addressed in an interdisciplinary manner. This article provides an overview of the TWD curriculum for middle…
Descriptors: Elementary Secondary Education, Grade 7, Data Analysis, Information Literacy
Swan, Karen; Vahey, Philip; van 't Hooft, Mark; Kratcoski, Annette; Rafanan, Ken; Stanford, Tina; Yarnall, Louise; Cook, Dale – Interdisciplinary Journal of Problem-based Learning, 2013
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…
Descriptors: Problem Based Learning, Interdisciplinary Approach, Middle Schools, Quasiexperimental Design
Melucci, Laura – ProQuest LLC, 2013
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…
Descriptors: Teacher Attitudes, Data, Information Utilization, Evidence Based Practice