Data skepticism and capacity for data-based decisions: The case of reclassifying English learners with disabilities

Abstract

English learners (ELs) with disabilities are disproportionately less likely than their EL peers without disabilities to be reclassified as Fluent English Proficient (FEP) in US public schools. Research has begun to explore how state reclassification policies, specifically the criteria needed to be considered FEP, may contribute to reclassification disparities. Given the complexities of measuring and understanding English language proficiency (ELP) growth for ELs with disabilities, there have been calls for states to incorporate teacher or team input as a criterion for reclassification. Research, however, has yet to examine how teachers make sense of ELP data for ELs with disabilities and ultimately make reclassification recommendations. This qualitative case study fills this gap, investigating the data interpretation and decision-making of teachers in one urban school district. It documents how teachers’ beliefs about standardized ELP assessment data coupled with a scarcity of resources and training contributed to reclassification decision-making driven not by data but by teachers’ values and instincts.