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Computer-Based Screening for the New Modified Alternate Assessment

机译:基于计算机的筛选,用于新的改良替代评估

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摘要

The final regulations of the No Child Left Behind Act (U.S. Department of Education, 2007a, 2007b) indicate that a small group of students with disabilities can be counted as proficient through an alternate assessment based on modified academic achievement standards. This new policy gives individualized education program teams the responsibility of identifying students eligible for this assessment. The Computer-Based Alternate Assessment Screening (C-BAAS) tests in reading and mathematics are designed to assist with this determination. A concurrent validity study with students (n = 463) from Indiana indicates that the C-BAAS tests share large correlations with state general achievement tests and might be appropriate screening tools for predicting below proficient achievement. Predictive validity studies with students in Idaho (n = 161) and Arizona (n = 70), using a set of conditional probability indices, show that C-BAAS tests meet or exceed the performance of multiple published screening systems for academic problems. The implications of these findings for individualized education program teams, for the C-BAAS tests, and for computer-based screening in general are discussed.
机译:《不让任何孩子落后法案》(美国教育部,2007a,2007b)的最终规定表明,可以根据修改后的学业成绩标准通过替代评估将一小部分残疾学生视为熟练。这项新政策使个性化的教育计划团队有责任确定符合此评估条件的学生。阅读和数学方面的基于计算机的替代评估筛选(C-BAAS)测试旨在帮助确定这一点。与印第安那州学生(n = 463)进行的并发有效性研究表明,C-BAAS考试与州一般成绩考试具有很大的相关性,并且可能是预测低于熟练程度的适当筛选工具。使用一组条件概率指数对爱达荷州(n = 161)和亚利桑那州(n = 70)的学生进行的预测效度研究表明,C-BAAS测试达到或超过了多个已发布的针对学术问题的筛选系统的性能。讨论了这些发现对于个体化的教育计划团队,C-BAAS测试以及总体上基于计算机的筛查的意义。

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