This study explores machine learning (ML) approaches for identifying gifted students by integrating academic and socioemotional characteristics from the data collected with the Having Opportunities Promotes Excellence teacher rating scale. By using the Gaussian Mixture Model (GMM) and ML approaches, including support vector machine (SVM) and…

It is very important to identify talented students as soon as they are admitted to college so that appropriate resources are provided and allocated to them to optimize and excel in their education. Currently, this process is labor-intensive and time-consuming, as it involves manual reviews of each student's academic record. This raises the…

Researchers in gifted and talented education (GATE) have increasingly taken on the role of advocating equity and access for minoritized populations. However, subgroups of racially and ethnically diverse students are rarely disaggregated from monolithic racial and ethnic categories. Studies on academic achievement of Asian American and White…

Over the past decade, the National Center for Research on Gifted Education (NCRGE), funded by the Jacob K. Javits Gifted and Talented Students Education Program, has conducted large-scale, multi-method studies to improve equity in the identification of and instructional support for gifted students. NCRGE has identified barriers and promising…

Over the past decade, the National Center for Research on Gifted Education (NCRGE), funded by the Jacob K. Javits Gifted and Talented Students Education Program, has conducted large-scale, multi-method studies to improve equity in the identification of and instructional support for gifted students. NCRGE has identified barriers and promising…

English learners (ELs) are the fastest growing population of students in the United States and currently represent nearly 10% of public school enrollment; however, they also constitute less than 3% of gifted program enrollment in these schools. Although an increasing number of studies explore this underrepresentation, research that specifically…

English learners (ELs) are the fastest-growing population of students in the United States and currently represent nearly 10% of public school enrollment; however, they also constitute less than 3% of gifted program enrollment in these schools. Although an increasing number of studies explore this underrepresentation, research that specifically…

This study investigated the application of item response theory (IRT) to expand the range of ability estimates for gifted (hereinafter referred to as high-achieving) students' performance on an above-level test. Using a sample of fourth- to sixth-grade high-achieving students (N = 1,893), we conducted a study to compare estimates from two…

The Munich Model of Giftedness (MMG) by Heller and his colleagues, developed for the identification of gifted children, is adapted and expanded, with the aim of making it more universally usable as a model for the pathway from talents to performance. On the side of the talent-factors, the concept of multiple intelligences is introduced, and the…

Purpose: The purpose of this conceptual paper is to illuminate the problems that are associated with defining and identifying talent and to discuss the development of talent as a contributor to employability. Design/methodology/approach: The world of work is characterised by new and rapidly changing demands. Talent management has recently been the…

There are many aims that have been articulated with respect to national qualifications frameworks (NQFs). Among them are those concerned with transparency, which is to say, that it is assumed that once employers understand the competencies of employees, as defined by their education credentials, then the mismatch between what employers are looking…

In a time of economic turmoil, finding executive managers with high potential is increasingly important in the business world. Structural constraints (such as flexibility and reactivity linked to constant environmental change), and demographic trends (such as replacement of leaders who retire) are two challenges, among others, that companies have…

Two groups of adolescents (N = 114), 61 identified-gifted adolescents (M = 22, F = 39) and 51 vocational school adolescents (M = 27, F = 26), were compared on the Overexcitability Questionnaire. Each of the five Overexcitability (OE) scores--Psychomotor, Sensual, Imaginational, Intellectual, and Emotional--was subjected to a two-way ANOVA by…

Effective talent-identification procedures minimize the proportion of students whose subsequent performance indicates that they were mistakenly included in or excluded from the program. Classification errors occur when students who were predicted to excel subsequently do not excel or when students who were not predicted to excel do. Using a…

Describes a system of categories to subdivide the gifted and talented population into the following more homogeneous subgroups: mild, moderate, high, exceptional, and extreme. Based on the metric system, each of the five levels, including the minimum threshold, selects the top 10% of the previous level. (Author/CR)