Overview and Introduction: Testing and Assessing African Americans: “Unbiased” Tests are Still Unfair
Overview and Introduction: Testing and Assessing African Americans: “Unbiased” Tests are Still Unfair
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概述和简介：测试和评估非裔美国人：“公正”的测试仍然不公平
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
J. Helms
中科院分区：
文献类型：
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作者：
D. Ford;J. Helms
翻译后摘要：这个特殊的问题，包括七篇关于克服标准化测试中的障碍，因为它涉及到非洲裔美国人的策略。大部分的文章集中在教育环境中的测试的影响或对考生的相关教育经验。其中三篇文章关注的是有特殊或特殊需要的学生（有天赋的大学生或有学习障碍或情绪行为障碍的学生）的标准化测试的替代方案。两份报告分别侧重于历史上和最近为克服考试对军事人员和潜在教师就业机会的限制作用所作的努力。剩下的两篇文章寻找解释为什么有关测试的政策授权有这样的负面影响的教育经验的非洲裔美国人。总的来说，这些文章中有一条信息：测试创新似乎并没有改变测试使用的性质，教育和职业环境中所有年龄段的非洲裔美国人继续受到评估的伤害。关于考试偏见和公平性的争论仍在继续，特别是在这个高风险考试的时代。与此同时，测试行业继续声称，新创建的测试和旧评估工具的修订是文化敏感的。那么，为什么所谓的无偏见的测试仍然是不公平的？
Abstract:This special issue includes seven articles concerning strategies for overcoming barriers in standardized testing as it pertains to African Americans. Most of the articles focus on the effects of testing in educational settings or on related educational experiences of test takers. Three of the articles focus on alternatives to standardized testing for students with special or exceptional needs (gifted college students or students with learning disabilities or emotional-behavior disorders). Two focus on historical and recent efforts to overcome the limiting effects of testing on employment opportunities for military personnel and potential teachers, respectively. The remaining two articles search for explanations for why policy mandates concerning testing have had such negative implications for the educational experiences of African Americans. Collectively, one message threads through the articles: testing innovation does not seem to have changed the nature of test usage, and African Americans of all ages in educational and vocational settings continue to be harmed by assessments. Debates about test bias and fairness are on-going, particularly in this era of high-stakes testing. At the same time, the testing industry continues to assert that newly created tests and revisions of old assessment tools are culturally sensitive. Why then do supposedly ‘unbiased tests remain unfair?