The Business Model.

Q3 Social Sciences Education Next Pub Date : 2002-06-22 DOI:10.4135/9781452229805.n83
Jay P. Greene
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引用次数: 35

Abstract

LIKE THE MAKERS OF HOT DOGS, PSYCHOMETRICIANS, economists, and other testing experts know too well what goes into the creation of achievement tests. Their intimate knowledge of the technical difficulties involved in measuring student achievement makes a number of these testing experts some of the most vocal (and persuasive) opponents of testing. But the flaws in techniques like value-added assessment do not automatically lead to the conclusion that those techniques shouldn't be used to hold educators accountable. Testing may be imperfect, but the alternative--the old system, which allowed us to know very little about the performance of educators--is far, far worse. To be sure, many of the technical criticisms of value-added testing are correct. It's true that there is more random error in measuring gains in test scores than in measuring the level of test scores. It's true that there is some uncertainty as to whether gains in one area of the test scale are equal to gains at another point in the test scale. And it's true that factors besides the quality of the schools can influence the gains that students achieve. But, on balance, these downsides hardly outweigh the benefits to be reaped from being able to measure and reward productivity in education. Consider what is likely to continue to happen in education without high-stakes value-added assessment. Unless productivity is measured, however imperfectly, it is not possible to reward teachers, administrators, and schools that contribute most to student learning. If we do nor reward productivity, we are unlikely to encourage it. If we do not encourage it, we should not expect more of it. In fact, this is precisely what has been happening in U.S. education during the past few decades. Between 1961 and 2000, spending on education tripled after adjusting for inflation, from $2,360 to $7,086 per pupil. During that time, student performance, as measured by scores on the National Assessment of Educational Progress (NAEP) and high-school graduation rates, has remained basically unchanged. Whenever spending triples without any significant improvement in outcomes, there is a serious productivity crisis. Yet U.S. public schools just keep chugging along, resisting serious attempts at reform. Meanwhile, private firms in the United States have been able to achieve steady gains in productivity because the discipline of competition has forced them to adopt systems for measuring and rewarding productivity. Firms that fail to measure and reward productivity lose out to their competitors who do. Moreover, the systems that private companies use to measure and reward productivity are far from flawless. In fact, the challenge of measuring productivity in the private sector is often as great as or greater than in education. Imagine a soft-drink company that wishes to measure and reward the productivity of its sales force. The company might determine bonuses (and even decisions on layoffs) based on its salespeople's success at increasing soda sales in their sales area. Like measuring gains in test scores, measuring increases in soda sales is fraught with potential error. Changes in soda sales could be influenced by a variety of factors other than the sales acumen of an employee. Unusually cold weather in an area, a local economic downturn, or exceptional promotional efforts by competitors could all suppress the soda sales of even a very good salesperson. If data on sales are collected using survey techniques, there is also the possibility of random error attributable to the survey method, just as resting has random error. Moreover, if we are comparing sales increases across geographic areas, it is unclear whether it rakes more skill to sell soda in an area where the market is already saturated than in an area that initially consumes less soda. In short, many of the same technical flaws that critics find in value-added testing also exist in the measurement of increases in soda sales. …
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商业模式。
就像热狗的制造者一样,心理测量学家、经济学家和其他测试专家非常了解成就测试的创建过程。他们对测量学生成绩所涉及的技术困难的深入了解,使这些测试专家中的一些人成为测试最直言不讳(和最有说服力)的反对者。但是,增值评估等技术的缺陷并不能自动得出这样的结论:这些技术不应该被用来追究教育工作者的责任。考试或许不完美,但另一种选择——让我们对教育工作者的表现知之甚少的旧制度——要糟糕得多。可以肯定的是,许多对增值测试的技术批评是正确的。的确,衡量考试成绩的增益比衡量考试成绩的水平有更多的随机误差。确实,在测试量表的一个区域的增益是否等于测试量表的另一个点的增益存在一些不确定性。的确,除了学校的质量之外,其他因素也会影响学生取得的成绩。但是,总的来说,这些缺点很难超过能够衡量和奖励教育生产力所带来的好处。考虑一下,如果没有高风险的增值评估,教育领域可能会继续发生什么。除非对生产力进行衡量,无论多么不完美,否则就不可能奖励对学生学习贡献最大的教师、管理人员和学校。如果我们不奖励生产力,我们就不太可能鼓励它。如果我们不鼓励它,我们就不应该期望它更多。事实上,这正是过去几十年美国教育所发生的事情。1961年至2000年间,扣除通货膨胀因素后,教育支出增加了两倍,从每个学生2360美元增至7086美元。在此期间,以国家教育进步评估(NAEP)分数和高中毕业率衡量的学生表现基本保持不变。每当支出增加两倍,而结果却没有显著改善时,就会出现严重的生产率危机。然而,美国的公立学校只是在苟延残喘,拒绝认真的改革尝试。与此同时,美国的私营企业一直能够在生产率方面取得稳定的增长,因为竞争的纪律迫使它们采用衡量和奖励生产率的制度。那些不能衡量和奖励生产力的公司会输给那些这样做的竞争对手。此外,私营企业用来衡量和奖励生产力的系统远非完美无缺。事实上,衡量私营部门生产力的挑战往往与教育部门一样大,甚至更大。想象一下,一家软饮料公司希望衡量并奖励其销售人员的生产力。公司可能会根据销售人员在销售区域内增加汽水销量的成功程度来决定奖金(甚至决定裁员)。就像衡量考试成绩的提高一样,衡量汽水销售的增长也充满了潜在的误差。苏打水销售的变化可能受到多种因素的影响,而不是员工的销售敏锐度。一个地区异常寒冷的天气,当地经济低迷,或者竞争对手的特殊促销活动,都可能抑制苏打水的销售,即使是一个非常优秀的销售人员。如果使用调查技术收集销售数据,就像休息有随机误差一样,也有可能由于调查方法而产生随机误差。此外,如果我们比较不同地理区域的销售增长,就不清楚在一个市场已经饱和的地区销售苏打水是否比在一个最初消耗较少苏打水的地区销售苏打水更需要技巧。简而言之,批评人士在附加值测试中发现的许多技术缺陷,同样也存在于汽水销售增长的测量中。…
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来源期刊
Education Next
Education Next Social Sciences-Education
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