Our current federal postsecondary data system is incomplete and fails to provide today's students with the accurate, timely information that they need to inform their college choices and promote their success. As policymakers consider proposals to improve this federal data system, it is critical that they work in tandem to protect students'…

Youth apprenticeship programs can give students access to valuable work-based learning experiences that provide insights into how their interest can connect to education and the workforce. Although these programs are often beneficial for participants, there is little data to show the programmatic landscape and impact. There are many challenges…

In 2007, the Legislature passed Senate Bill 5097, which required the Office of Superintendent of Public Instruction (OSPI) to convene a task force to examine how gangs are affecting school safety. The task force must annually report its findings and recommendations to the education committees of the Legislature. The Gangs in Schools Task Force…

The purpose of this study was twofold. The first purpose was to analyze exit data collection systems in Mississippi school districts (including a content analysis of the instruments used to collect exit data) to determine how many districts collected data from exiting teachers. The second purpose was to examine teacher characteristics (race,…

Making college access and success more equitable at a national scale requires alternatives to intensive in-person modes of pre-college advising. Text-message advising campaigns are a promising intervention model for delivering college application and financial aid assistance affordably to large populations of college-intending, low-income…

In the current context of distance learning, learning management systems (LMSs) make it possible to store large volumes of data on web browsing and completed assignments. To understand student behavior patterns in this type of environment, educators and managers must rethink conventional approaches to the analysis of these data and use appropriate…

Disability-as-diagnosis, disability-as-identity, and disability-as-experience as pressing measurement issues in learning outcomes assessment are described in this paper. Disability represents a critically important latent variable in many learning outcomes assessment plans unless it is a formalized part of analytic plans. Noting the potential for…

The Positive Behavioral Interventions and Supports (PBIS) framework is currently implemented in more than 25,000 schools across the globe. Its implementation has demonstrated positive impacts on a number of behavioral and academic outcomes. A growing evidence base has found that PBIS has been particularly effective at reducing both in- and…

New technologies transform research specialties and potentiate new fields. Sociometers--wearable electronic sensors collecting quantitative, dynamic data about embodied social interactions at hyperfine scales--represent such a possibility for small group research. This article introduces this new method and its distinctive qualities and…

This article examines developments in the 'smart classroom' as a new frontier for the university. It provides a conceptual map of the scope and limitations of smart classrooms, contextualized to smart university initiatives. First, it introduces the notion of 'smart' technology in cities, campuses, and classrooms. Next, it examines how the smart…

In an effort provide access to devices and prepare students for the future, a small rural high school committed to becoming a high-tech school. However, data collected using the IPI-T process suggested teachers were typically the users of the technology, students were often disengaged, and teachers were asking students to participate in…

State databases offer researchers the opportunity to conduct research using data collected by states. These databases contain financial, demographic, and accountability data. Accessing and acquiring data from these repositories, though, can offer challenges to scholars interested in conducting research. This brief describes the type of data…

Measuring race and ethnicity for administrative data sets and then analyzing these data to understand racial/ethnic disparities present many logistical and theoretical challenges. In this chapter, we conduct a synthetic review of studies on how to effectively measure race/ethnicity for administrative data purposes and then utilize these measures…

In recent years we have developed a data analytics pipeline using artificial neural networks to predict prospective student matriculation for university admissions using very limited demographic data. Predictions are generated at the earliest stages of the admissions process and successfully inform recruiting and admissions staff about the…

Learning Dashboards display analytics pertaining to student performance and attainment, often alongside scores for the class cohort average. Little research has considered the effects of this social comparison information on students' well-being, motivation, and engagement. The current study presented participants with hypothetical data that…