Search and Filter
Seth B. Hunter
Human-, GRM-, and LLM-Generated School-Improvement Leadership Scores from Missouri: Structural Bias and Concurrent and Predictive Validity
Seth B. Hunter, David S. Woo, Katherine M. Bowser, Syeda Sabrina Akter, Thomas Hairston, Eter Mjavanadze, Antonios Anastasopoulos, Sarah Hairston.Topics: MethodsHead or assistant principal evaluation systems are widely deployed but rarely examined for validity, and AI scoring tools have entered K–12 workflows ahead of the evidence. We examine human supervisor ratings, Graded Response Model (GRM) rescaling, and large language model (LLM) scoring of 1,385… more →
The Valence of Teacher Performance Feedback and Its Consequences: Examining a Critical Mechanism of Reformed Teacher Evaluation Systems
Topics: Teacher and Leader DevelopmentTags: Educator perceptionsDistricts nationwide have increased the frequency of teacher evaluations. Yet, we know little about the role of evaluator feedback for teacher improvement. Using unique classroom observation-level data, we use evaluator ratings and teacher self-assessments of teacher performance to rigorously… more →
Next-Generation Teacher Evaluation in Rural Missouri: Main and Moderated Effects on Student Achievement and Effects-to-Expenditure Ratios
Topics: Teacher and Leader DevelopmentTags: School reform, Rural educationWe extend teacher evaluation research by estimating a reformed evaluation system's plausibly causal average effects on rural student achievement, identifying the settings where evaluation works, and incorporating evaluation expenditures. That the literature omits these contributions is… more →