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Too Much Information: When Does Additional Testing Benefit Schools?

临时的 形成性评价 人气 校长(计算机安全) 考试(生物学) 代理(哲学) 委托代理问题 精算学 标准化测试 计算机科学 运筹学 经济 运营管理 数学教育 心理学 政治学 财务 计算机安全 工程类 社会心理学 社会学 公司治理 法学 生物 古生物学 社会科学
作者
Vanitha Virudachalam,Sergei Savin,Matthew P. Steinberg
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
标识
DOI:10.1287/mnsc.2020.01547
摘要

U.S. K–12 school districts that traditionally utilized ongoing “formative” assessments of student progress increasingly rely on additional “interim” assessments to predict student performance on standardized tests. Moreover, some districts are experimenting with merit-based teacher bonuses tied to standardized test scores. We examine the relationship between interim assessments and teacher bonuses using a two-period principal–agent model. The school district (principal), operating under a limited budget, decides whether to implement interim assessments and how much merit pay to offer, and teachers (agents) choose how much effort to exert in each period. We use two-state (proficient versus not proficient) Markovian dynamics to describe the evolution of student test readiness, in which the transition probability in a given period depends on both teachers’ effort decisions and the starting state. Our results indicate that, despite the popularity of interim assessments, their usefulness is far from guaranteed. In particular, the accuracy promised by these assessments is a double-edged sword: positive midyear results can make it easier to incentivize second period teacher effort, but negative results can have a demotivating effect. Moreover, even when an interim assessment does result in a higher probability of the school ending the year in the proficient state, the resulting higher expected costs of merit-based bonuses for the district may exceed the available budget. Thus, even a free interim assessment might be too expensive for the school district. This paper was accepted by Charles Corbett, operations management. Funding: This research was supported by the Risk Management Center Russell Ackoff Doctoral Student Fellowship and the Fishman-Davidson Center for Service and Operations Management, both at The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2020.01547 .
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