Research Topics and Trends in Gifted Education: A Structural Topic Model
Yazarlar (2)
Seda Şakar Hacettepe Üniversitesi, Türkiye
Doç. Dr. Sema TAN Sinop Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Gifted Child Quarterly (Q1) | ||
| Dergi ISSN | 0016-9862 Dergi Bilgileri (2025) | ||
| Dergi Tarandığı Indeksler | SSCI | ||
| Makale Dili | Türkçe | Basım Tarihi | 10-2025 |
| Cilt / Sayı / Sayfa | 69 / 1 / 68–84 | DOI | 10.1177/00169862241285041 |
| Makale Linki | https://doi.org/10.1177/00169862241285041 | ||
| UAK Araştırma Alanları |
Özel Yetenekliler Eğitimi
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| Özet |
| Many articles have been published in gifted education in recent years. This study aims to provide a comprehensive review of the evolution of academic studies in gifted education. In this context, the structural topic modeling (STM) method was used to analyze the topics and trends in the field. STM is a machine learning technique that utilizes natural language processing techniques based on text mining. It is a valuable methodology for identifying a text corpus’s main topics and trends. The corpus used in this study is 5,127 articles from nine leading journals in giftedness without any year limitations. As a result of the analysis, five topics that prominently emerged in the literature were discovered. These are curriculum and instruction, social-emotional characteristics, thinking skills, identification and assessment tools, and equity and policies. The research topics and trends discovered due to the analysis are discussed … |
| Anahtar Kelimeler |
| giftedness | structural topic modeling | talented | text mining |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 7 |
| Scopus | 11 |
| Google Scholar | 22 |