This study explored the implementation of data driven decision making (DDDM) among superintendents to improve low-performing schools in the Western United States. Specifically, this study utilized the Clark and Estes (2008) Gap Analytic Conceptual Framework to understand superintendents' knowledge, motivation, and organizational influences related…

This paper details a systematic process that links industry and competency-based institutions' ability to create a more diverse talent pipeline while connecting learners to high-demand jobs. To remain competitive, competency-based institutions must closely align with industry and the government to keep their content up to date and relevant to…

We present a micro-analysis of youth interactions with large complex, socioeconomic datasets and data visualization tools. Middle and high school youth used georeferenced data and data visualization tools to assemble models that present their family migration histories in relation to larger socioeconomic trends in a summer program. Using…

In most general education classrooms in Germany, students with and without special educational needs are taught together. To support teachers in adapting instruction to these heterogeneous classrooms, we have developed learning progress assessment (LPA) and reading instructional materials, the "Reading Sportsman" (RS), in line with the…

Although national legislation and policy call for the use of student assessment data to support instruction, evidence suggests that teachers lack the knowledge and skills required to effectively use data. Previous studies have demonstrated the potential of training for increasing immediate teacher outcomes (i.e., knowledge, skills, and beliefs),…

These are the appendixes for the report, "How Nebraska Teachers Use and Perceive Summative, Interim, and Formative Data." This document presents additional information about the study topic: teachers' data use. It begins with a description of the conceptual framework and supporting literature for the scales in the Teacher Data Use Survey…

Data modernization and security practices allow educational leaders to provide accurate, secure, and timely data that can be securely exchanged, shared, and connected in order to provide instant understanding of school performance, student attendance, academic performance, or funding from multiple sources. This matters because: (1) Data…

The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…

The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…

English learners (ELs) make up a significant portion of the nation's K-12 student population who come from culturally and linguistically diverse backgrounds. ELs bring a wealth of diversity to the United States' education system; however, teachers' limited knowledge and practices that integrate ELs' cultural, linguistic, and prior educational…

Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…

In educational contexts where many domains subject to improvement are interdependent and causal evidence is frequently lacking it is difficult, if not impossible, for policymakers and educational practitioners to decide which domain should be invested in. This paper proposes a new method that uses Conditional Mean Independent Correlations (CMIC)…

The purpose of the U.S. Department of Education's (Department's) fiscal year (FY) 2022 "Agency Financial Report" (AFR) is to inform Congress, the President, other external stakeholders, and the American people on how the Department used the federal resources entrusted to it to advance the mission of the Department to promote student…

The purpose of the U.S. Department of Education's (Department's) fiscal year (FY) 2023 "Agency Financial Report" (AFR) is to inform Congress, the President, other external stakeholders, and the American people on how the Department used the federal resources entrusted to it to advance the mission of the Department to promote student…

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…