Affiliation:
1. University of Minnesota
2. California State University, Los Angeles
3. Temple University
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 presented. Policy implications are considered briefly.
Subject
Developmental and Educational Psychology,Education
Cited by
19 articles.
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