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Journals / Fırat Üniversitesi Sosyal Bilimler Dergisi / 2026 / Cilt: 36 Sayı: 3

Education and Employment of Women in Software, Computer, and Artificial Intelligence Engineering: Trends and Thematic Structures in the Academic Literature

Kadınların Yazılım, Bilgisayar ve Yapay Zekâ Mühendisliğinde Eğitimi ve İstihdamı: Akademik Literatürdeki Eğilimler ve Tematik Yapılar

Sevinç Ay(FIRAT ÜNİVERSİTESİ)0009-0001-6309-0889
Songül Karabatak(FIRAT ÜNİVERSİTESİ, EĞİTİM FAKÜLTESİ)0000-0002-1303-2429
Pages
1387–1400
Publication Date
2026-09-14
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The study systematically reveals thematic trends, collaborative structures, and key focus areas in the literature, providing a strategic basis for future research on women's representation in engineering education and employment.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study presents a bibliometric analysis of the scientific literature on the employment and education of women in engineering.
📊
Key Findings & Data:A total of 220 records retrieved from the Web of Science Core Collection were analyzed in terms of document types, keyword co-occurrence, author productivity, source distribution, and conceptual density.
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Conclusion & Impact:The study systematically reveals thematic trends, collaborative structures, and key focus areas in the literature, providing a strategic basis for future research on women's representation in engineering education and employment.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Mühendislikte kadınlar · Bibliyometrik analiz · Toplumsal cinsiyet eşitliği

Abstract

This study presents a bibliometric analysis of the scientific literature on the employment and education of women in engineering. A total of 220 records retrieved from the Web of Science Core Collection were analyzed in terms of document types, keyword co-occurrence, author productivity, source distribution, and conceptual density. VOSviewer, RStudio (Bibliometrix), and Gephi were used for network visualization, thematic mapping, and clustering analysis. The most frequently used keywords were gender, software engineering, and education, while the most influential sources were identified using Bradford’s Law. Lotka’s Law was applied to evaluate author productivity. The study systematically reveals thematic trends, collaborative structures, and key focus areas in the literature, providing a strategic basis for future research on women's representation in engineering education and employment.

Özet

Bu çalışma, kadınların mühendislik alanlarındaki istihdamı ve eğitimiyle ilgili literatürü bibliyometrik yöntemlerle analiz etmektedir. Web of Science Core Collection veri tabanından elde edilen 220 kayıt, yayın türü, anahtar kelime, yazar üretkenliği, kaynak kullanımı ve kavramsal yoğunluk gibi açılardan incelenmiştir. Analiz sürecinde VOSviewer, RStudio (Bibliometrix) ve Gephi yazılımları kullanılmış; anahtar kelime ağları, tematik haritalar ve kümelenme yapıları görselleştirilmiştir. En sık kullanılan anahtar kelimeler arasında gender, software engineering ve education öne çıkarken, en etkili yayın kaynakları Bradford Yasası çerçevesinde belirlenmiştir. Lotka Yasası ise yazar üretkenliğini değerlendirmek için uygulanmıştır. Çalışma, kadınların mühendislik alanındaki temsiline ilişkin literatürdeki eğilimleri, bilgi yoğunluklarını ve iş birliği ağlarını sistematik biçimde ortaya koymakta; bu alanda yapılacak gelecekteki çalışmalara stratejik bir zemin sunmaktadır.

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Cite This Article

Ay, S., Karabatak, S. (2026). Education and Employment of Women in Software, Computer, and Artificial Intelligence Engineering: Trends and Thematic Structures in the Academic Literature. Fırat Üniversitesi Sosyal Bilimler Dergisi, Cilt: 36 Sayı: 3, 1387–1400. https://doi.org/10.18069/firatsbed.1731426

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