The Tennessee Department of Education (TDOE) discovered that infants and toddlers who were referred for Part C services and initially found ineligible for a full evaluation through screening were being re-referred and later found eligible for services at a high rate. This report presents the systematic evaluation process that TDOE's Tennessee…

Since 2007, many U.S. music education programs have been negatively affected by budget reductions at the local, state, and national levels. Although researchers have studied the effect of budget reductions on music education, they have not widely examined the perspectives of teachers who have experienced these reductions. The purpose of this study…

Randomized A/B tests in educational software are not run in a vacuum: often, reams of historical data are available alongside the data from a randomized trial. This paper proposes a method to use this historical data--often highdimensional and longitudinal--to improve causal estimates from A/B tests. The method proceeds in two steps: first, fit a…

To improve the effectiveness of new teachers, the SREB Teacher Preparation Commission called on states to: (1) Hold all new teachers in a state to the same high standards, and require practice-based licensure tests; (2) Require high-quality clinical teaching experiences; (3) Develop statewide data systems for continuous improvement; and (4)…

This guidebook is designed to support state and local leaders in the first step in the improvement process, the development and facilitation of a needs assessment. The guidebook does the following: (1) Reviews some of the major school-improvement-related needs assessment requirements found in the Elementary and Secondary Education Act of 1965, as…

The Working lives of teachers and leaders (WLTL) is a longitudinal study intended to run for at least five years, up to 2026. It is intended to provide a representative picture of the experiences of teachers and leaders in state schools in England. The second wave was carried out in Spring 2023. The first wave was carried out in Spring 2022. The…

Adding uncertainty information to visualizations is becoming increasingly common across domains since its addition helps ensure that informed decisions are made. This work has shown the difficulty that is inherent to representing uncertainty. Moreover, the representation of uncertainty has yet to be thoroughly explored in educational domains even…

The EEG reflects the activation of large populations of neurons that act in synchrony and propagate to the scalp surface. This activity reflects both the brain's background electrical activity and when the brain is being challenged by a task. Despite strong theoretical and methodological arguments for the use of EEG in understanding the…

This article introduces practitioners and researchers to the topic of missing data in the context of differential item functioning (DIF), reviews the current literature on the issue, discusses implications of the review, and offers suggestions for future research. A total of nine studies were reviewed. All of these studies determined what effect…

This article estimates the effects of school expenditure on school performance in government secondary schools in New South Wales, Australia over the period 2006-2010. It uses dynamic panel analysis to exploit time series data on individual schools that only recently has become available. We find a significant but small effect of expenditure on…

This paper discusses issues of research design and methods in new materialist social inquiry, an approach that is attracting increasing interest across the social sciences as an alternative to either realist or constructionist ontologies. New materialism de-privileges human agency, focusing instead upon how assemblages of the animate and inanimate…

Estimating the prerequisite structure of skills is a crucial issue in domain modeling. Students usually learn skills in sequence since the preliminary skills need to be learned prior to the complex skills. The prerequisite relations between skills underlie the design of learning sequence and adaptation strategies for tutoring systems. The…

In this digital era, learning from data gathered from different software systems may have a great impact on the quality of the interaction experience. There are two main directions that come to enhance this emerging research domain, Intelligent Data Analysis (IDA) and Human Computer Interaction (HCI). HCI specific research methodologies can be…

Tools for automatic grading programming assignments, also known as Online Judges, have been widely used to support computer science (CS) courses. Nevertheless, few studies have used these tools to acquire and analyse interaction data to better understand the students' performance and behaviours, often due to data availability or inadequate…

We report on a design-based research study that was conducted over three iterations. It chronicles the design, development, and implementation of School Scene Investigators, a forensic science game series for middle school students that utilizes mobile augmented reality. Played on mobile devices while exploring the school environment, School Scene…