This critique of J. Renzulli's definition of giftedness suggests that Renzulli's emphasis on enrichment militates against systematic accelerated study in academics and the arts and, overall, constitutes a politically conservative, product-oriented approach to education that is more likely to reinforce social inequities of the current political…

This critique of J. Renzulli's models of gifted education suggests a weakness is the lack of school-based assessment procedures to guide decisions about a broader range of acceleration, enrichment, and other types of program options. Major ideas underlying Renzulli's theory are examined including broadening the talent pool, emphasis on products,…

This study evaluated the effectiveness of the Schoolwide Enrichment Model (SEM), a system intended to nurture behavioral giftedness without reliance on gifted identification procedures. The study found SEM positively influenced the attitudes of elementary school students (n=1,935) in six middle class schools. SEM may provide schoolwide benefits…

The article addresses programing approaches for secondary gifted students used throughout the country. Goals, identification, and programing options are discussed, including types of acceleration, enrichment, special classes, on campus offerings outside the school day, off-campus options, and special schools. (CL)

Review of the last 25 years of the author's work focuses on models for identifying and serving gifted and talented students including: (1) the Three Ring Conception of Giftedness; (2) the Enrichment Triad Model; and (3) the Schoolwide Enrichment Model. Summaries focus on the rationale supporting each model, practical applications, and possible…

The article and response to a critique (EC 232 395) discuss how cooperative learning (emphasizing group goals and individual accountability), the limited use of acceleration by extremely able learners, and differentiation within classes can reduce tracking and separate enrichment programs while meeting the needs of gifted students in the regular…

Structural equation modeling (SEM) refers to a family of statistical techniques that explores the relationships among a set of variables. Structural equation modeling provides an extremely versatile method to model very specific hypotheses involving systems of variables, both measured and unmeasured. Researchers can use SEM to study patterns of…