Recent advances in genomics make it possible to predict individual differences in education from polygenic scores that are person-specific aggregates of inherited DNA differences. Here, we systematically reviewed and meta-analyzed the strength of these DNA-based predictions for educational attainment (e.g., years spent in full-time education) and…

In 2018 the UK government launched a £50 million scheme to fund the expansion of existing grammar schools provided that they increase efforts to attract more pupils from socioeconomically disadvantaged backgrounds. This initiative assumed that grammar school attendance boosts the educational attainment and the higher education progression rates of…

This longitudinal, within-subjects study examined whether adolescents' biological sensitivity to socioeconomic status (SES) for emerging social difficulties varied day to day. Diverse adolescents (N = 315; ages 11-18; 57% female; 25% Asian, 18% Latinx, 11% Black) provided daily diaries and saliva samples for 4 days. We measured biological…

Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…

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…

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:…

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…

The Motivation for Educational Attainment (MEA) questionnaire, developed to assess facets related to early adolescents' motivation to complete high school, has a bifactor structure with a large general factor and three smaller orthogonal specific factors (teacher expectations, peer aspirations, value of education). This prospective validity study…