In this perspective article, I explore the implications of artificial intelligence (AI)-enabled algorithmic decisions on education governance. Three main questions are explored: (1) Are algorithmic decisions de facto policy decisions? (2) What distinct features of algorithmic decisions necessitate a re-evaluation of education governance? (3) How…

In spring 2020, nearly every U.S. public school closed at the onset of the COVID-19 pandemic. Existing evidence suggests that local political partisanship was a better predictor of in-person instruction than COVID case and death rates in fall 2020. We replicate and extend these analyses using data collected over the entirety of the 2020-21…

The relationship between "stability" and "change" is a central paradox of administration that pervades all forms of organizing. Evaluation is not unfamiliar with paradoxical objectives and roles, which can result in tensions for evaluators and stakeholders. In this article, paradoxes between stability and change in the…

This dissertation includes three studies that investigate the factors that shaped emergency educational policymaking during the COVID-19 pandemic. Drawing upon scholarship on federalism, bureaucratic behavior, and partisanship, these studies expand our knowledge on the impact that local and state politics can have upon street-level bureaucrats'…