Many schools choose to organise students into classes according to their perceived "ability", despite evidence that the practice is not beneficial for students, overall. Class grouping by "ability" can exacerbate existing social inequalities by segregating students according to pre-existing educational advantage, which has…

This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…

Objective/Research Question: Community college graduation rates are typically quite low, and developmental mathematics enrollment and coursetaking patterns may constrain academic outcomes. To identify ways in which community college graduation rates may be improved, decision trees were utilized to examine the STEM coursetaking patterns of N =…

The European Education Area aims to support Member States' efforts in enhancing the educational attainment of younger generations. In this policy context, there is a need for an objective tool to assess the educational outcomes of EU countries. The present report addresses this need by pursuing two objectives: (1) providing a comprehensive method…

Degree completion rates have recently dominated national debates regarding the value of higher education (Gagliardi et al., 2018). Inherent in this debate is the issue of how to utilize institutional data to evaluate student performance (Hubbard et al., 2020). This process, known as data-driven decision-making (DDDM), has been studied at four-year…

The higher education sector is under increasing pressure to deliver more and to evidence the fruits of its contribution to society. There is a particular focus on the enhanced engagement of students in order to maximise success, and for this engagement to be achieved equitably across the student body, regardless of demographic backgrounds. This…

Tracking and using data to inform decisions pays off for college success programs on multiple levels. Having data allows program staff to monitor the progress of individual students and tailor support to their particular needs. It enables staff to understand the effectiveness of program activities and make improvements as necessary. Most…

This brief explores data science methods that workforce programs can use to predict participant success. With access to vast amounts of data on their programs, workforce training providers can leverage their management information systems (MIS) to understand and improve their programs' outcomes. By predicting which participants are at greater risk…

There are at least 39 million Americans who have attended college but needed to stop out before earning a degree. The "Degree Reclamation Playbook" supports practitioners seeking to reengage this population, capture the momentum of existing credits, and bring students across the degree finish line. Drawing on more than a decade of work,…

From Fall 2019 through Spring 2020, The Hunt Institute released a series of policy briefs, "Attainment for All: Postsecondary Pathways," that highlighted scalable state-level strategies to boost postsecondary attainment rates among specific student subpopulations including high school graduates, first-generation students, and adult…

Scientific advances in genetic analysis have been made possible in recent years by technical developments in computational biology, or bioinformatics. Bioinformatics has opened up the human genome to diverse analyses involving automated laboratory hardware and machine learning algorithms and software. As part of an emerging field of social…

COVID-19 has exacerbated existing equity gaps and made college persistence even more difficult for students with less access to resources and opportunities than their White or wealthier peers. Altogether, these challenges require organizations to establish new approaches to engaging college students and monitoring their academic progress and…

This article describes how statistics are scrutinised as evidence. It focuses on the uses of a labour market statistic during House of Commons select committee evidence sessions. The statistic in question was '55.5% of economically active black men, aged 16-24, are unemployed'. The article describes how this individual piece of evidence was…

Texans ages 25-34 who earn an associate degree are nearly twice as likely to earn at least $50,000 per year than those who don't earn a degree (24% vs. 13%). Those earning a bachelor's degree or higher are nearly four times as likely to reach this self-sustaining wage (49% vs. 13%). If every eighth grader in Harris County were to earn an associate…

A qualified and dedicated early care and education (ECE) professional workforce is essential for the well-being of our youngest children. Despite the importance of ECE professionals, the field continues to experience challenges recruiting and retaining individuals in the workforce, often due to high expectations for early care with inadequate…