First-generation students currently represent the vast majority of the student population in South American higher education institutions (Castillo & Cabezas, 2010; Cuenca, 2015); however, these students also have significantly lower persistence, especially during their first year of studies (Fanelli, 2017). The most relevant theories on…

Externalizing behavior and low academic performance present key developmental challenges for school-age children, with the potential for these domains to predict each other over time, leading to worsened outcomes. Yet, previous studies have yielded inconsistent conclusions about the directional pathways between externalizing behaviors and academic…

The aim of this dissertation was to develop and validate a novel Epistemic Competence Beliefs Measure (ECBM) in order to explore students' ability to evaluate the characteristics of scenarios about complex and controversial social issues. Epistemic competence was hypothesized to be critical in performing multiple source use (MSU) tasks and in the…

For school districts to adequately prepare students with disabilities for successful post-graduation life, it is essential to understand if various variables predict postsecondary outcomes. The purpose of this study is to examine the relationship between gender, race/ethnicity, participation in career technical education (CTE) programs, diploma…

I study student characteristics and academic performance at the University of California, where consideration of an applicant's ethnicity has been banned since 1996 and SAT scores were used in admitting students to the university until fall 2021. I show the following: (1) SAT scores were more important than high school grades in predicting…

Future education requires fostering high-level competencies to enhance student talent, and artificial intelligence (AI) can help in profile analysis. The aim was to determine the variables that predict the GPA of students in the 'Leaders of Tomorrow' program through an integrated methodology of data analytics, machine learning modeling, and…

Background/Context: English learners (ELs) have the potential to bring much-needed multilingual skills to the workforce, and most ELs aspire to graduate high school and earn a post-secondary credential (Gwynne, Pareja, Ehrlich, & Allensworth, 2012; Shi & Watkinson, 2019). But active ELs graduate high school at far lower rates than their…

This study examines the impact of high school academic indicators and participation in the federally funded Upward Bound program on college graduation rates for first-generation, low-income students. Specifically the extent to which participation in the federally funded TRIO Upward Bound program and related factors--high school GPA, course rigor,…

Assembly Bill 1705 (AB 1705) seeks to strengthen students' completion of the first STEM Calculus course for Science, Technology, Engineering, and Math (STEM) programs across the California Community Colleges. The law sets new standards for students' placement and first math enrollment to ensure STEM students begin in transfer-level coursework that…

This technical appendix accompanies the report, "Preparatory Pathways and STEM Calculus Completion: Implications of the AB 1705 Standards." The appendices contain a full methods section and multivariate analyses that augment the descriptive analyses presented in the report. Together, these analyses examined a cohort of more than 37,000…

Validity studies of college admissions tests have found that, on average, students who are Black or Hispanic earn lower freshman grade-point averages (FGPAs) than predicted by these test scores. This differential prediction is used as a measure of bias. These studies, however, conflate student and school characteristics. The differential…

We report on a college-level study of student reflection and instructor prompts using scoring and corpus analysis methods. We collected 340 student reflections and 24 faculty prompts. Reflections were scored using trait and holistic scoring and then reflections and faculty prompts were analyzed using Natural Language Processing to identify…

There has been growth in Early College High Schools, and other similar programs, to improve racial/ethnic minority and first-generation students' access to higher education. As a result, there has been an increase in nontraditionally aged students (e.g., students under 18) in higher education. Despite increases in students under 18 attending…

Introduction: The discussion around academic achievement in the context of distance education has raised the need to develop studies that allow identifying the variables that best predict it. The goal of this study was to analyze the fit of a structural equations model that assumes that sociodemographic variables, personality traits, motivation…

All students should have the ability to thrive within collegiate environments. Despite widening access for postsecondary education participation, low-income students often do not experience the collegiate environment in the same ways as their well-resourced peers. Previous research highlights obstacles low-income students face; yet, these results…