In the Netherlands, the implementation of mandatory procedures in which prospective students do a final check on their initial higher education program choice (so-called matching procedures), were introduced to improve student-program fit. We argue that prospective students who lack feelings of fit with the program during these matching procedures…

This study investigated the underexplored topic of teacher preparation program admissions processes by interviewing faculty and analyzing program documents. We investigated how 31 K-12 mathematics and science teacher preparation programs (MSTPPs) and faculty attend to diversity, equity, inclusion, and social and racial justice (DEIJ). Specific…

Direct Admissions is a system developed and piloted recently in the US that defaults graduating high school students into post-secondary admittance by data-matching their profiles (transcripts, standardized test scores, and prerequisites) with institutions' preset eligibility criteria. As applicant and institutional interest in direct admissions…

Artificial Intelligence (AI) strives to create intelligent machines with human-like abilities. However, like humans, AI can be prone to implicit biases due to flaws in data or algorithms. These biases may cause discriminatory outcomes and decrease trust in AI. Bias in higher education admission may limit access to opportunities and further social…

This report explores the experiences of trans and non-binary students across UK higher education. It compiles new and existing data, alongside interviews with students and academics, to outline the journey from application, through study, to post-graduation. It highlights the unique combination of challenges trans and non-binary students face,…

The Association of American Medical Colleges (AAMC) conducts annual demographic data collection for all medical school applicants and matriculants, revealing a concerning trend of underrepresentation of minority groups. Among these, the data from 2018 to 2023 showed a low underrepresentation of Latine women, with only a 3% representation among…

This dissertation consists of three chapters that examine topics in the economics of education. Chapter 1 tests the impact of holding student loan debt on borrowers' post-schooling decisions, with a focus on how it changes the way they evaluate risks when choosing between jobs. Chapter 2 analyzes the impact of an expansion of public-school choice…

At a time when institutions of higher education are exploring alternatives to traditional admissions testing, institutions are also seeking to better support students and prepare them for academic success. Under such an engaged model, one may seek to measure not just the accumulated knowledge and skills that students would bring to a new academic…

Despite decades of research and policy efforts, socioeconomic disparities in educational outcomes persist in the United States. In this dissertation, I examine these disparities, focusing on access to higher education during the later years and on academic achievement during elementary school. I explore the importance of family, neighborhood, and…

Purpose: This study draws on genre theory to analyze the linguistic and discursive presentation of the self in successful US college application essays. Research Methods: We used qualitative discourse analysis informed by the systemic functional linguistic concepts of field, tenor, and mode to analyze 20 sample application essays identified as…

This paper contributes to debates about gender and diversity in teaching. Exploring the underrepresentation of males, socially constructed as a privileged group, is a complex task for researchers working within a social justice framework. Drawing on a national dataset (N = 5,627), we explore entry patterns to primary and post-primary Initial…

The Prospective Students Survey is one of the Graduate Management Admission Council's (GMAC) keystone research programs. The global graduate management education (GME) community has relied on data from this survey to gain insights about candidates' decision-making processes when considering and applying to graduate business schools since 2009. The…

This report looks at trends since 1997, uniquely combining several data sources to give the most comprehensive view available on how patterns in access to higher education have changed in the years between 1997 and 2022. A major study of higher education trends over the past 25 years reveals persistent access gaps for disadvantaged students,…

A Machine Learning framework for predicting enrollment is proposed. The framework consists of Amazon Web Services SageMaker together with standard Python tools for data analytics, including Pandas, NumPy, MatPlotLib, and ScikitLearn. The tools are deployed with Jupyter Notebooks running on AWS SageMaker. Based on three years of enrollment history,…

Since its writing into Texas state law, only one empirical study has been published which compares the relative ease or difficulty of ApplyTexas against other national-level postsecondary applications of which ApplyTexas competes with. Taylor's (2019) cross-analysis of ApplyTexas versus the Common Application, Coalition for College Application,…