This study uses a novel framework based on work by Shipstead, Harrison, and Engle (2016) that includes measures of both working memory capacity and fluid intelligence in an attempt to better understand the processes that influence successful reading comprehension at the latent level. Further, we extend this framework to a second educationally…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

The purpose of this research was to examine the relationship between State of Texas Assessments of Academic Readiness (STAAR) reading and academic progress in the programs of Istation and Star Renaissance (Star Ren) in fourth grade special education students. Special education students in the selected school district appear to produce inconsistent…

Objective: This study examines how accurately a small set of short-term academic indicators can approximate long-term outcomes of community college students so that decision-makers can take informed actions based on those indicators to evaluate the current progress of large-scale reform efforts on long-term outcomes, which in practice will not be…

Over the past century, the United States workforce has undergone a massive structural shift. Technological change has moved the economy toward skilled labor and away from unskilled labor--a phenomenon known as skill-biased technical change. This structural shift has increased the relative demand for educated and skilled labor, leading to…

This appendix documents the methodology used by the Georgetown University Center on Education and the Workforce to project educational demand within the US economy. The methodology produces forecasts using data from two private analytics companies. The authors use occupational forecasts provided by Lightcast that are calibrated to total employment…

The staggering highs and lows of the recent US economy and their effect on the labor force has been deeply unsettling. The US has come through the COVID-19 recession, the deepest economic downturn since the Great Depression, followed by the quickest recovery ever. One trend in the workforce has remained unaltered throughout this historic change:…

The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound…

Educational institutions increasingly recognize the role that student belonging plays in retention. Many studies in this area focus on helping students improve a sense of belonging before they matriculate or identifying belonging as a reason for their departure. This study measures students' sense of belonging at key transition points during the…

Physics education research (PER) has used quantitative modeling techniques to explore learning, affect, and other aspects of physics education. However, these studies have rarely examined the predictive output of the models, instead focusing on the inferences or causal relationships observed in various data sets. This research introduces a modern…

During the 1990s computers were placed into most educational classrooms; however, they sat underused or not used at all. One reason for this is students lacked the skills to use computers effectively. One set of skills that can help students make use of computers is self-regulated learning. By using think aloud protocol analysis while students…

This report projects education requirements linked to forecasted job growth for all 50 states and the District of Columbia from 2021 through 2031. It complements a larger national report that projects education demand by occupation and industry for the same period. The national report finds that by 2031, 72 percent of all jobs nationally will…

Acts of targeted violence are of great concern to college administrators. Additionally, targeted violence motivated by bias (e.g., racism, sexism, homophobia, xenophobia, etc.) is occurring at an increasing rate on campuses across the country. Previous research has identified potential pre-incident behaviors which may serve as indicators that an…

A predictive model for the USMLE Step 1 was created based on NBME Comprehensive Basic Sciences Self-Assessment (CBSSA) exams. All second year medical students at a southwestern university from 2014-2016 took a NBME CBSSA exam under controlled testing conditions six months (January) and three months (April) prior to their Step 1. A multiple…

Purpose: We sought to determine whether speech perception and language skills measured early after cochlear implantation in children who are deaf, and early postimplant growth in speech perception and language skills, predict long-term speech perception, language, and neurocognitive outcomes. Method: Thirty-six long-term users of cochlear…