In this article, I describe how principals accessed teacher and student data on a centralized data warehouse (DWH) during an academic school year. I found that principals did not use the DWH very often during the year. When logged on, principals most often looked at reports on student achievement, teachers' performance, or student demographics.…

We are interested in how codified knowledge is produced around the globe (which inputs are used to produce scientific articles and patented inventions) and the efficiency of the process (how do the best performers produce more with the same inputs or produce the same with less inputs). Using a Data Envelopment Analysis (DEA) efficiency frontier…

The prevalence of students with visual impairments varies across the United States, yet limited analysis exists on how many students receive special education services. The following study collected population data on students with visual impairments for the 2017-2018 school year and ran focus groups with state-level administrators to understand…

Research on the use of modeling and mapping tools in curriculum management is thriving, often focusing on the perspectives of the faculty alone. However, scholarly works that also incorporate the students' curriculum concerns are rare. A recurring theme in students' curriculum concerns is the perceived overlap among courses, usually expressed at…

Statewide technical assistance providers support many school teams through training, consultation, and coaching to improve systems and outcomes for mathematics for every student. They have the opportunity to work with many school psychologists, who often indicate they are more comfortable engaging in systems-level work for literacy, behavior, and…

Qualitative data analysis has been criticised for a lack of credibility over recent years when vagueness has been afforded to the reporting of how findings are attained. In response, there has been a growing body of literature emphasising a need to detail methods of qualitative data analysis. This paper adds to this body of knowledge by presenting…

The contemporary Human activity utilizes huge volumes of digital data to solve efficiently multiple socio-economic, scientific and technical problems. Now the big data analysis is mainly oriented to the socioeconomic sphere with a goal to lift the profit. The science and technology to penetrate deeper in the nature of objects and systems under…

Purpose: The objective of this paper is to present a comprehensive review of the literature on learning analytics (LA) stakeholders' expectations to reveal the status of ongoing research in this area and to highlight gaps in research. Design/methodology/approach: Conducting a literature review is a well-known method to establish knowledge and…

Numerous evidence-based programs (EBPs) exist for delivery in schools to promote youth mental health outcomes. However, school systems often lack the internal infrastructure to support the effective implementation and sustainment of EBPs when external supports are withdrawn, resulting in notable attenuation in the benefits in youth clinical…

As part of its Partnership for Pre-K Improvement (PPI) initiative, the Bill & Melinda Gates Foundation sponsored the RAND Corporation to study the cost of high-quality pre-K programming. The RAND study included three states--Oregon, Tennessee, and Washington--that were partnering with the foundation under PPI. The objective of the study was to…

This data point highlights reporting requirements in state policy regarding the use of suspension and/or expulsion. At least 39 states and the District of Columbia outline reporting requirements for the use of suspension and/or expulsion in statute or regulation. At least 11 states have reporting requirements that are specific to certain types of…

In "Understanding Pandemic Learning Loss and Learning Recovery: The Role of Student Growth & Statewide Testing" we show how states, with spring 2021 assessment data together with student growth results derived from it, are positioned to address critical questions regarding academic learning loss. Answers to these questions, together…

The purpose of the study is to analyze disaggregate rural public teacher retention data to determine significant differences in retention by race, gender, and educational attainment. Missouri public schools in Northwest Missouri, who are considered rural through the years 2019-2021 were included in this study. ANOVA test results were analyzed to…

Since near the very beginning of electronic computing, Monte Carlo particle transport has been a fundamental approach for solving computational physics problems. Due to the high computational demands and inherently parallel nature of these applications, Monte Carlo transport applications are often performed in the supercomputing environment. That…

We examine the impact of wind energy installation on school district finances and student achievement using data on the timing, location, and capacity of the universe of U.S. installations from 1995 through 2017. Wind energy installation substantially increased district revenues, causing large increases in capital outlays, but only modest…