The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…

Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting, and student-success interventions. Because predictive algorithms rely on historical data, they capture societal injustices, including racism. In this study, we examine…

The COVID-19 pandemic decreased college enrollment and disrupted academic progress, particularly among disadvantaged students and institutions. Just before the start of the pandemic in spring 2020, 31,511 undergraduate students attending colleges of The City University of New York responded to a survey detailing their circumstances. Lasso…

Teaching is a uniquely stressful profession. Though previous work has drawn attention to the high levels of burnout teachers report experiencing and its impact on students, comparatively less work has investigated what influences teachers' burnout itself. Guided by Lazarus' (1991) transactional model of stress and coping, the present study…

Knowing what skills underlie college success can allow students, teachers, and universities to identify and to help at-risk students. One skill that may underlie success across a variety of subject areas is structure building, the ability to create mental representations of narratives (Gernsbacher, Varner, & Faust, 1990). We tested if…