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…

Critical success factors (CSFs) have been around since the late 1970s and have been used extensively in information systems implementations. CSFs provide a comprehensive understanding of the multiple layers and dimensions of implementation success. In the specific context of learning analytics (LA), identifying CSFs can maximise the possibilities…

Background: Promise scholarship programs designed to increase college access and success are proliferating across the country. However, little research has investigated how such programs are implemented or how differences in program design, such as the inclusion of merit requirements, could affect the success of these initiatives. Project/Research…

Data walls are a data use practice increasingly being adopted in western, Anglophone countries to display student academic achievement data. The purpose of data walls is to improve teaching and learning by helping teachers and/or students to identify patterns of growth and achievement, set goals, and plan instructional interventions or…

Brief experimental analysis (BEA) is frequently used to drive intervention selection decisions for students in need of intensive reading fluency intervention. Researchers have demonstrated that most BEA results for students with reading fluency difficulties are undifferentiated when considering the standard error of measurement (SEM) of…

Since the implementation of school inclusion, STEM educators have been tasked with serving an increasing number of students with disabilities in their classrooms. Often this requires that STEM educators and Special educators work together in the same classroom. Although their initial instructional preparedness is very discipline specific, the…

This brief is one in a series aimed at providing K-12 education decision makers and advocates with an evidence base to ground discussions about how to best serve students during and following the novel coronavirus pandemic. It addresses one central question: What changes in central office systems are likely to support principals in leading for…

Colleges support students with advising, counseling, or coaching in academics and other skills they need to succeed in school. Some colleges enhance those services through reduced adviser caseloads and more comprehensive, frequent guidance, which can improve students' semester-to-semester retention and average credits earned. This overview…

This work investigates how data availability can lead to different conclusions about the so-called fading-out effect of early childhood education (ECE). We explore a extensive dataset from 2008 and 2012 on elementary school children from a small municipality in Brazil. This data allows us to evaluate the effect of ECE attendance on language…

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…

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…