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Direct linkDaniel A. Long; D. Betsy McCoach; Del Siegle; Carolyn M. Callahan; E. Jean Gubbins – Grantee Submission, 2023
Is under-representation of Black, Latinx, English learners (EL), and students from economically challenging communities in gifted programs due to inequality in early academic achievement or bias in the gifted identification process? Using three-level multilevel logistic models, we examine the degree to which the disparities in gifted…
Descriptors: Academically Gifted, Gifted Education, Disproportionate Representation, Minority Group Students
National Association for Gifted Children, 2019
Students with gifts and talents perform--or have the capability to perform--at higher levels compared to others of the same age, experience, and environment in one or more domains. They require modification(s) to their educational experience(s) to learn and realize their potential. Student with gifts and talents: (1) Come from all racial, ethnic,…
Descriptors: Academically Gifted, Talent Identification, Student Needs, Student Characteristics
Grissom, Jason A.; Redding, Christopher; Bleiberg, Joshua F. – Harvard Educational Review, 2019
In this essay, Jason A. Grissom, Christopher Redding, and Joshua F. Bleiberg investigate the receipt of gifted services based on the socioeconomic status (SES) of elementary school students and their families. Using nationally representative longitudinal data, they show that gaps in the receipt of gifted services between the highest and lowest SES…
Descriptors: Academically Gifted, Access to Education, Elementary School Students, Socioeconomic Status
Lenard, Matthew; Harris, Angel; Hill, Darryl – Wake County Public School System, 2019
In response to chronically low gifted identification rates in the majority of elementary schools among Black and Hispanic/Latino students, the Wake County Public School System (WCPSS) launched Nurturing for a Bright Tomorrow (NBT) in Fall 2014. NBT was a multicomponent curricular enhancement program designed to train early elementary school…
Descriptors: Public Schools, Elementary School Students, Academically Gifted, Talent Identification
McBee, Matthew – Gifted Child Quarterly, 2010
This study focused on the analysis of a large-scale data set (N = 326,352) collected by the Georgia Department of Education using multilevel path analysis to model the probability that a student would be identified for participation in a gifted program. The model examined individual- and school-level factors that influence the probability that an…
Descriptors: Academically Gifted, Academic Achievement, Path Analysis, Probability
Florey, Janice E.; And Others – 1986
An inservice training program designed to help teachers identify culturally different gifted students is described in this report, which provides specific information about identifying gifted Native Americans. Introductory material summarizes some research on the learning and behavioral characteristics of Native Americans as they differ from the…
Descriptors: American Indian Education, American Indians, Bias, Cognitive Style
