Rebuilding the Bridge: Overlooked Creativity Insights and Their Implications for Gifted Education

Creativity has long occupied an important place in gifted education theory, yet much of the most recent empirical work on creative development has emerged in adjacent disciplines. In this integrative synthesis, we draw on contemporary research in psychology, neuroscience, education, and human–artificial intelligence (AI) interaction to summarize converging evidence on how creativity is defined, structured, assessed, and cultivated. We highlight findings supported by meta-analyses, replication studies, and large-scale modeling, including work on implicit theories, domain specificity, cognitive and personality correlates, metacognition, creativity training, and emerging assessment approaches. Rather than proposing prescriptive reforms, we examine how these developments may clarify and extend existing conversations within gifted education concerning identification, programming, and talent development. By mapping areas of empirical stability across disciplines, this review aims to strengthen cross-field dialogue and support continued integration between creativity research and gifted education scholarship and practice.

Authors

Institutions

Publication Details

Journal
Gifted Child Quarterly
Published
2026-07-23
DOI
https://doi.org/10.1177/00169862261460090
Primary Topic
Creativity in Education and Neuroscience
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rebuilding the Bridge: Overlooked Creativity Insights and Their Implications for Gifted Education

Kristen N. Lamb, Jeb S. Puryear, Sakhavat Mammadov, Selçuk Acar et al.
Gifted Child Quarterly
Creativity in Education and Neuroscience
article

Rebuilding the Bridge: Overlooked Creativity Insights and Their Implications for Gifted Education

Kristen N. Lamb, Jeb S. Puryear, Sakhavat Mammadov, Selçuk Acar, Lisa DaVia Rubenstein, Denis Dumas
article en

Abstract

Creativity has long occupied an important place in gifted education theory, yet much of the most recent empirical work on creative development has emerged in adjacent disciplines. In this integrative synthesis, we draw on contemporary research in psychology, neuroscience, education, and human–artificial intelligence (AI) interaction to summarize converging evidence on how creativity is defined, structured, assessed, and cultivated. We highlight findings supported by meta-analyses, replication studies, and large-scale modeling, including work on implicit theories, domain specificity, cognitive and personality correlates, metacognition, creativity training, and emerging assessment approaches. Rather than proposing prescriptive reforms, we examine how these developments may clarify and extend existing conversations within gifted education concerning identification, programming, and talent development. By mapping areas of empirical stability across disciplines, this review aims to strengthen cross-field dialogue and support continued integration between creativity research and gifted education scholarship and practice.

Gifted Child Quarterly
University of North Texas (US), University of Georgia (US), University of Alabama (US), Ball State University (US), University of Montana (US)
Quality Education
Openalex Percentile: Top 6%
Creativity in Education and Neuroscience
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Rebuilding the Bridge: Overlooked Creativity Insights and Their Implications for Gifted Education — Kristen N. Lamb, Jeb S. Puryear, et al. · Gifted Child Quarterly (2026) | TGRS Research Map | TGRS