TY  - JOUR
T1  - A BIBLIOMETRIC ANALYSIS OF CHALLENGES WITH AI ADOPTION IN SOCIAL SCIENCES TEACHING
TT  - A Bibliometric Analysis of Challenges With AI Adoption in Social Sciences Teaching
AU  - Karatay, Cem
AU  - Cetin, Gurel
AU  - Cifci, Ibrahim
AU  - Şahin, Mehmet Altuğ
PY  - 2024
DA  - October
Y2  - 2024
JF  - Ankara Uluslararası Sosyal Bilimler Dergisi
JO  - AUSBD
PB  - Uluslararası Sosyal Bilimler Programları Değerlendirme ve Akreditasyon Derneği (USDAD)
WT  - DergiPark
SN  - 2651-3064
SP  - 65
EP  - 75
IS  - Yapay Zeka ve Sosyal Bilimler Öğretimi
LA  - en
AB  - This research bibliometric review analyzed 16 publications from the Web of Science (WoS) database on the challenges with AI adoption in social science teaching (CAAST). Analysis of these publications, published between 2014 and 2023, is conducted using VOSviewer software. The review's objectives were to document the publication and citation trends, as well as the geographic distribution of the CAAST literature. Furthermore, the review aimed to identify key authors, author keywords, cited references, and sources, as well as scrutinize the intellectual framework of this knowledge repository. In 2023, CAAST research increased by 450% compared to the previous year, and the number of citations increased significantly by approximately 110%, indicating that CAAST has become a focus for researchers.
KW  - Artificial intelligence (AI)
KW  - Challenges
KW  - Adoption
KW  - Higher education
KW  - Social sciences
N2  - Bu araştırma bibliyometrik incelemesi, Web of Science (WoS) veri tabanından sosyal bilimler öğretiminde yapay zekanın benimsenmesi ile ilgili zorluklar (SÖYBZ) üzerine 16 yayını analiz etmiştir. 2014-2023 yılları arasında yayınlanan bu yayınların analizi VOSviewer yazılımı kullanılarak gerçekleştirilmiştir. İncelemenin amaçları, yayın ve atıf eğilimlerinin yanı sıra SÖYBZ literatürünün coğrafi dağılımını belgelemektir. Ayrıca inceleme, anahtar yazarları, yazar anahtar kelimelerini, atıfta bulunulan referansları ve kaynakları belirlemenin yanı sıra bu bilgi havuzunun entelektüel çerçevesini incelemeyi amaçlamıştır. 2023 yılında SÖYBZ araştırmalarının bir önceki yıla göre %450 oranında artması ve atıf sayısının yaklaşık %110 gibi önemli bir oranda artması, SÖYBZ'nin araştırmacılar için bir odak noktası haline geldiğini göstermektedir.
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UR  - http://dergipark.org.tr/tr/pub/usdad/issue//1549385
L1  - http://dergipark.org.tr/tr/download/article-file/4211323
ER  -