In recent years, many studies have been conducted in Israel on gifted students' programs offered in teacher training colleges. This study, which explored the "Regev" gifted students' program at the Michlalah-Jerusalem Academic College, was based on quantitative methodology that explored the differences between the gifted students in the…

Current practices in study design and data analysis have led to low reproducibility and replicability of findings in fields such as psychology, medicine, biology, and economics. Because gifted education research relies on the same underlying statistical and sociological paradigms, it is likely that it too suffers from these problems. This article…

Contemporary models highlight the need to cultivate cognitive and psychosocial factors in developing domain-specific talent. This model was the basis for the current study where high ability youth with self-reported social difficulties (n = 28, 12 with a coexisting disability) participated in a social skills and talent development intervention…

High-potential students from low-income families are at an academic disadvantage compared with their more affluent peers. To address this issue, researchers have suggested novel approaches to mitigate gaps in student performance, including out-of-school enrichment programs. Longitudinal mixed effects modeling was used to analyze the growth of…

Researchers have argued for the importance of the classroom context in developing students' creative potential. However, the emphasis on a performative learning culture in the classroom does not favour creativity. Thus, how creative potential can be realised as one of the educational goals in the classrooms remains a key question. This study…

Dynamic assessment is currently discussed in educational literature as one of the most promising practices in stimulating learning among various groups of students, including gifted and potentially gifted students. The present study investigates effects of dynamic assessment on mathematics achievement among elementary school students, with…

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…