Charter school authorizing is inherently contextual work, and each charter school authorizer is the expert on their own context and portfolio of schools. This toolkit is a self-guided resource for authorizers to "identify" indicators of distress, "audit" their current data collection methods for evaluating indicators of…

The Pandemic Electronic Benefits Transfer (P-EBT) program was launched as an effort to address the loss of access to free and reduced-price school meals due to widespread school closures at the onset of the COVID-19 pandemic. As schools reopened in a shifting mix of fully virtual, hybrid, and in-person formats and families lacked consistent access…

The authors have developed a visualization tool to assist higher education stakeholders in exploring options in higher education performance and accountability. The tool allows users to visualize quickly differences between programs and institutions along a number of dimensions. This report draws five insights from the visualization tool: (1)…

This set of resources organizes evidence-based strategies for re-engaging and supporting students with disabilities and their families through school completion. This document is comprised of three related quick references--Part 1: Identify Who Is Missing; Part 2: Re-Engaging Students; and Part 3: Continuing Ongoing Dropout Prevention. Each…

This dissertation concerns the secure processing of distributed data by multiple terminals, using interactive public communication among themselves, in order to accomplish a given computational task. In the setting of a probabilistic multiterminal source model in which several terminals observe correlated random signals, we analyze secure…

Because MOOCs bring big data to the forefront, they confront learning science with technology challenges. We describe an agenda for developing technology that enables MOOC analytics. Such an agenda needs to efficiently address the detailed, low level, high volume nature of MOOC data. It also needs to help exploit the data's capacity to reveal, in…

This study deals with the problem of how to collect genuine and useful data about science classroom practices, and preserving the complex and holistic nature of teaching and learning. Additionally, we were looking for an instrument that would allow comparability and verifiability for teaching and research purposes. Given the multimodality of…

Business analytics courses, such as marketing research, data mining, forecasting, and advanced financial modeling, have substantial predictive modeling components. The predictive modeling in these courses requires students to estimate and test many linear regressions. As a result, false positive variable selection ("type I errors") is…

The Secretary announces dates for State educational agencies (SEAs) to submit expenditure and revenue data and average daily attendance statistics on ED Form 2447 (the National Public Education Financial Survey (NPEFS)) for FY 2013, revisions to those reports, and revisions to prior fiscal year reports. The Secretary sets these dates to ensure…

This case study presents an overview of how multimodal social semiotic theory was combined with visual means of data collection and analysis. The visual methods used were content analysis and still and animated experiential landscape mapping. These methods and theory were used in a study that considered the impact of increasingly visual means of…

Background: This paper considers a new policy and statistical framework for evaluating K-12 schools and policies that aligns with diversity, equity, and inclusion values. The new approach broadens the standard approach to accountability and evaluation by combining features of evaluation and multi-level growth models with approaches used in systems…

In this article, we explored the challenges of PA education in developing countries. Based on interviews in two developing countries (Bangladesh and Sri Lanka), we identified a number of challenges that fall under two broader umbrellas: teaching-related and research-related challenges. The teaching-related challenges include the problem with…

The main aim of this research is to display research trends in studies on augmented reality (AR) in teaching English as a foreign language by using bibliometric mapping and content analysis. For this purpose, 64 studies in total published up to 2019 were accessed for bibliometric analysis. In addition, 49 articles published between 2007 and 2019…

This dissertation study explored the feasibility of using authenticated spoken texts to test L2 Chinese listening comprehension. The spoken texts used in the study were created using an "authenticating" technique, in which scripted spoken Chinese texts were infused with characteristics of real-world, unscripted spoken Chinese. In the…

More than a quarter of US children have at least one immigrant parent, but researchers and policymakers often do not have adequate data on these children's experiences in school, with far-reaching implications for instruction, student support services, and policy. Proxy factors that are reported by school--such as being designated as an English…