Web of Science-Based Bibliometric Analysis of Academic Studies on Artificial Intelligence Literacy

Öz

This study presents a bibliometric analysis of publications indexed in the Web of Science under the topic “artificial intelligence literacy” for the period 2020–2025. The research aims to map the quantitative characteristics of the artificial intelligence literacy literature, its interdisciplinary distribution, author and institutional collaboration networks, and core concept clusters. Data were collected from the WoS Topic field on 16 August 2025, yielding a corpus of 119 documents. Analyses employed descriptive statistics and VOSviewer-based visualizations to examine publication and citation counts, country and institutional distributions, and keyword co-occurrence patterns. Findings indicate a rapid expansion of the field since 2020, a concentration of studies within educational contexts, and prominent contributions from China, the United States, and Turkey. The literature also shows rising attention to themes such as AI ethics, generative AI, and scale development, while author and institutional collaboration networks remain fragmented and regionally clustered. The results discuss research trends and gaps and underscore the importance of more inclusive database searches and the promotion of multicentric international collaborations.

Anahtar Kelimeler

• Artificial Intelligence Literacy
• Bibliometric Analysis
• VOSviewer
• AI Ethics
• Education

WoS Veri Tabanındaki Yapay Zekâ Okuryazarlığı Konulu Akademik Çalışmaların Bibliyometrik Analizi

Öz

Bu çalışma, Web of Science veri tabanında indekslenen “artificial intelligence literacy” başlıklı yayınların 2020-2025 dönemi bibliyometrik analizini sunmaktadır. Araştırmanın amacı, yapay zekâ okuryazarlığı literatürünün nicel karakteristiklerini, disiplinler arası dağılımını, yazar ve kurum işbirliği ağlarını ile anahtar kavram kümelerini haritalamaktır. Veri toplama 16 Ağustos 2025 tarihinde WoS’un Topic alanı kullanılarak gerçekleştirilmiş; toplam 119 belge analiz edilmiştir. Analizlerde yayın sayıları, atıf sayıları, ülke ve kurum dağılımları ile anahtar kelime eş-görünümüne ilişkin görselleştirmeler için VOSviewer yazılımı ve betimleyici istatistikler kullanılmıştır. Bulgular, 2020’den itibaren alanın hızlı bir büyüme gösterdiğini, çalışmaların ağırlıklı olarak eğitim bağlamında yoğunlaştığını ve Çin, ABD ile Türkiye’nin öne çıkan ülkeler olduğunu ortaya koymaktadır. Ayrıca literatürde “AI ethics”, “generative AI” ve “scale development” gibi temaların yükselişte olduğu; yazar ve kurum işbirliğinin ise hâlâ parçalı, bölgesel kümelenmelerle sınırlı kaldığı saptanmıştır. Sonuçlar, alandaki araştırma eğilimlerini ve boşlukları tartışarak, daha kapsayıcı veri tabanı taramalarının ve çok merkezli iş birliklerinin teşvik edilmesinin önemini vurgulamaktadır.

Anahtar Kelimeler

• Yapay Zekâ Okuryazarlığı
• Bibliyometrik Analiz
• VOSviewer
• Yapay Zekâ Etiği
• Eğitim

Kaynakça

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