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Using Large Language Models to Analyze Preservice Teacher Feedback and Reflections During Clinical Teaching
Clinical teaching is vital for preservice teacher (PST) development, yet field supervisors’ roles are understudied. This study analyzes over 11,000 supervisor evaluations and PST reflections from a Texas teacher preparation program using large language models to extract measures of feedback quality and content. Supervisor feedback often lacks key quality indicators: less than half of… more →
Deeper Roots Before the Storm: Utilizing Machine Learning to Alert School Districts of Permanent School Closures
The increasing rate of permanent school closures in U.S. public school districts presents unprecedented challenges for administrators and communities alike. This study develops an early-warning indicator model to predict mass closure events - defined as a district closing at least 10% of its schools - five years in advance.
What can we learn from the research on public school reopening decisions in the United States during the COVID-19 pandemic?
Background: After the near-universal school closures in the United States at the start of the pandemic, lawmakers and educational leaders made plans for when and how to reopen schools for the 2020-21 school year. As school reopening plans and data sets aggregating reopening statuses became available, researchers moved quickly to assess how a range of public health, political,… more →
The Politics of Commencement Speakers: Organizational Contexts of Speech on College Campuses, 1989–2024
Conflicts over the politics of speech have been a persistent challenge in U.S. higher education. Public narratives portray universities as antagonistic toward conservative speakers, yet empirical evidence remains limited. To address this gap, we analyze the political orientations of 1,875 commencement speakers at 52 universities between 1989 and 2024. Findings indicate a rise in liberal… more →
The Four Day Gamble: The Quasi-Experimental Effects of Four-Day School Week Adoption on Teacher, Principal, and Paraprofessional Staff Turnover and District Financial Outcomes
Four-day school week (4DSW) adoption is an increasingly popular policy, particularly for rural districts that are seeking to reduce educator turnover and district expenditures. Using a staggered treatment event study design, I am among the first to estimate the quasi-experimental effects of 4DSW adoption on teacher, principal, and paraprofessional staff turnover. Further, I provide a valuable… more →
Bridging Literacy Gaps: The Impact of AI-Driven Personalised Learning on Reading Skills and Educational Equity
Persistent literacy skills deficits hinder educational attainment, limit labour market opportunities, and exacerbate socioeconomic inequalities. This paper evaluates the causal effect of an AI-driven Computer-Assisted Learning (CAL) program implemented by the Government of Madrid, which features personalised, adaptive content and real-time feedback on students’ literacy proficiency.