Students' postsecondary course-taking is of interest to researchers, yet has been difficult to study at large scale because administrative transcript data are rarely standardized across institutions or state systems. This paper uses machine learning and natural language processing to standardize college transcripts at scale. We demonstrate the…

We use student-level administrative data from Delaware for 43,767 high school students across five 12th grade cohorts from 2017 to 2021. We apply Item Response Theory (IRT) to high school transcript data, treating courses as items and grades as ordered responses, to estimate both student transcript strength ([theta]) and course difficulty. We…

Growing literature documents the promise of active learning instruction in engaging students in college classrooms. Accordingly, faculty professional development (PD) programs on active learning have become increasingly popular in postsecondary institutions; yet, quantitative evidence on the effectiveness of these programs is limited. Using…

Career and Technical Education (CTE) prepares students for life beyond high school by providing practical labor skills, workforce credentials, and early post-secondary credits. States are required to report the number of CTE concentrators to receive federal Perkins funding, but systems of identifying students as concentrators vary among states. We…

Classroom discourse is a core medium of instruction -- analyzing it can provide a window into teaching and learning as well as driving the development of new tools for improving instruction. We introduce the largest dataset of mathematics classroom transcripts available to researchers, and demonstrate how this data can help improve instruction.…