Bibliometric Analysis on the Use of Artificial Intelligence in Disaster Education

Nihan Özbaltan; Demet Karacaoğlu; Ömer Cem Karacaoğlu; Abdülkadir Özkaya

doi:10.24331/ijere.1781369

TR EN

Afet Eğitiminde Yapay Zeka Kullanımına İlişkin Bibliyometrik Analiz

Öz

2001-2024 yılları arasında Web of Science veritabanındaki dergilerde yayınlanan 210 makaleyi inceleyen “Afet Eğitiminde Yapay Zeka Kullanımına İlişkin Bibliyometrik Analiz” başlıklı çalışma, afet eğitimi ve yapay zeka entegrasyonundaki bilimsel gelişimi ölçmeyi amaçlamaktadır. Çalışma, Web of Science'daki gerçek verilerin bibliyometrik, performans analizi ve bilimsel haritalama analizine dayalı olarak gerçekleştirilmiştir. Bu makaledeki sonuçlar, yapay zeka tabanlı metin kategorizasyonu ve afet okuryazarlığı öğreniminin soru-cevap parametreleri üzerine 210 makalenin genel bir incelemesini sunmaktadır. Araştırma metodolojisi, Biblioshiny aracının yardımıyla performans analizi ve bilim haritalama analizini kapsamaktadır. Çalışma sonuçları, en iyi dergiler, yazarlar, konu bazında, yayın sıklığı, dergi performansı, ülke ve kurumlar gibi konuya dayalı bilimsel faaliyetlerin genel bir incelemesini sunmaktadır. Bu çalışma, AI tabanlı çözümlerin afet eğitimi üzerindeki etkilerini değerlendirmek ve bu alandaki gelecekteki çalışmaları bilgilendirecek önemli bulgular sağlamak amacıyla gerçekleştirilmiştir.

Anahtar Kelimeler

Afet okuryazarlığı , eğitim entegrasyonu , yapay zeka , metin sınıflandırma , soru-cevap çözümleri , bibliyometrik analiz

Bibliometric Analysis on the Use of Artificial Intelligence in Disaster Education

Abstract

The study 'Bibliometric Analysis on the Use of Artificial Intelligence in Disaster Education' of 210 articles published in journals of the Web of Science database from 2001 to 2024 is intended to measure scientific advancement in disaster education and artificial intelligence integration. The study was conducted based on bibliometric, performance analysis, and science mapping analysis of genuine data in Web of Science. The outcomes in this article present an overall examination of 210 articles on artificial intelligence-based text categorization and question-answer parameters of disaster literacy learning. The research methodology encompasses performance analysis and science mapping analysis with the help of the Biblioshiny tool. The study outcomes present an overall scrutiny of scientific activities based on the subject, such as best journals, authors, topic wise, frequency of publications, journal performance, country, and institutions. This study was conducted to evaluate the implications of AI-based solutions on disaster education and to provide noteworthy findings that would inform future studies in this field.

Keywords

Disaster Literacy , education integration , artificial intelligence , text classification , Q&A solutions , bibliometric analysis

Kaynakça

Tsai, H. L., & Wu, J. F. (2023). Bibliometric analysis of worldwide trends in inclusive education publications on the Web of Science (WoS) database (1999–2018). International Journal of Disability, Development and Education, 1–24. https://doi.org/10.1080/1034912X.2023.2243840

Ayrıntılar

Birincil Dil

İngilizce

Konular

Bilim, Teknoloji ve Mühendislik Eğitimi ve Programlarının Geliştirilmesi , Eğitim Teknolojisi ve Bilgi İşlem

Bölüm

Araştırma Makalesi

Yazarlar

Nihan Özbaltan ^*
0000-0003-0191-312X
Türkiye

Demet Karacaoğlu Bu kişi benim
Türkiye

Ömer Cem Karacaoğlu Bu kişi benim
Türkiye

Abdülkadir Özkaya Bu kişi benim
Türkiye

Yayımlanma Tarihi

6 Nisan 2026

Gönderilme Tarihi

10 Eylül 2025

Kabul Tarihi

22 Ocak 2026

Yayımlandığı Sayı

Yıl 1970 Cilt: 11 Sayı: 2

DOI

https://doi.org/10.24331/ijere.1781369

IZ

https://izlik.org/JA62EJ44YM

APA

Özbaltan, N., Karacaoğlu, D., Karacaoğlu, Ö. C., & Özkaya, A. (2026). Bibliometric Analysis on the Use of Artificial Intelligence in Disaster Education. International Journal of Educational Research Review, 11(2), 66-80. https://doi.org/10.24331/ijere.1781369

AMA

1.Özbaltan N, Karacaoğlu D, Karacaoğlu ÖC, Özkaya A. Bibliometric Analysis on the Use of Artificial Intelligence in Disaster Education. IJERE. 2026;11(2):66-80. doi:10.24331/ijere.1781369

Chicago

Özbaltan, Nihan, Demet Karacaoğlu, Ömer Cem Karacaoğlu, ve Abdülkadir Özkaya. 2026. “Bibliometric Analysis on the Use of Artificial Intelligence in Disaster Education”. International Journal of Educational Research Review 11 (2): 66-80. https://doi.org/10.24331/ijere.1781369.

EndNote

Özbaltan N, Karacaoğlu D, Karacaoğlu ÖC, Özkaya A (01 Nisan 2026) Bibliometric Analysis on the Use of Artificial Intelligence in Disaster Education. International Journal of Educational Research Review 11 2 66–80.

IEEE

[1]N. Özbaltan, D. Karacaoğlu, Ö. C. Karacaoğlu, ve A. Özkaya, “Bibliometric Analysis on the Use of Artificial Intelligence in Disaster Education”, IJERE, c. 11, sy 2, ss. 66–80, Nis. 2026, doi: 10.24331/ijere.1781369.

ISNAD

Özbaltan, Nihan - Karacaoğlu, Demet - Karacaoğlu, Ömer Cem - Özkaya, Abdülkadir. “Bibliometric Analysis on the Use of Artificial Intelligence in Disaster Education”. International Journal of Educational Research Review 11/2 (01 Nisan 2026): 66-80. https://doi.org/10.24331/ijere.1781369.

JAMA

1.Özbaltan N, Karacaoğlu D, Karacaoğlu ÖC, Özkaya A. Bibliometric Analysis on the Use of Artificial Intelligence in Disaster Education. IJERE. 2026;11:66–80.

MLA

Özbaltan, Nihan, vd. “Bibliometric Analysis on the Use of Artificial Intelligence in Disaster Education”. International Journal of Educational Research Review, c. 11, sy 2, Nisan 2026, ss. 66-80, doi:10.24331/ijere.1781369.

Vancouver

1.Nihan Özbaltan, Demet Karacaoğlu, Ömer Cem Karacaoğlu, Abdülkadir Özkaya. Bibliometric Analysis on the Use of Artificial Intelligence in Disaster Education. IJERE. 01 Nisan 2026;11(2):66-80. doi:10.24331/ijere.1781369

International Journal of Educational Research Review (ISSN:2458-9322)
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Afet Eğitiminde Yapay Zeka Kullanımına İlişkin Bibliyometrik Analiz

Öz

Anahtar Kelimeler

Bibliometric Analysis on the Use of Artificial Intelligence in Disaster Education

Abstract

Keywords

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

Kaynak Göster