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20/20分析:仔细审视边缘情况。

20/20 Analysis: taking a close look at the margins.

作者信息

Reynolds M C, Zetlin A G, Wang M C

机构信息

University of Minnesota.

出版信息

Except Child. 1993 Feb;59(4):294-300. doi: 10.1177/001440299305900402.

Abstract

This article presents "20/20 Analysis" as an experimental, output-oriented, noncategorical alternative to traditional approaches to identification of students for special education. 20/20 Analysis identifies students showing least (below 20th percentile) and most (above 80th percentile) progress toward important objectives of education in a school. The situation of each student in low 20% and high 20% groups is then examined as a basis for broad (noncategorical) approaches to improvement of learning opportunities. Case studies of two schools are present. Policy implications are considered briefly.

摘要

本文介绍了“20/20分析”,它是一种实验性的、以结果为导向的、非分类的方法,可替代传统的特殊教育学生识别方法。“20/20分析”用于识别在学校教育重要目标方面进步最小(低于第20百分位数)和最大(高于第80百分位数)的学生。然后,对处于低20%和高20%组的每个学生的情况进行研究,以此作为广泛(非分类)改善学习机会方法的基础。文中给出了两所学校的案例研究。并简要考虑了政策影响。

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