A BIBLIOMETRIC ANALYSIS OF CHALLENGES WITH AI ADOPTION IN SOCIAL SCIENCES TEACHING

Cem Karatay; Gurel Cetin; Ibrahim Cifci; Mehmet Altuğ Şahin

TR EN

A Bibliometric Analysis of Challenges With AI Adoption in Social Sciences Teaching

Öz

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.

Anahtar Kelimeler

Yapay zekâ (YZ) , Zorluklar , Benimseme , Yükseköğretim , Sosyal bilimler

A BIBLIOMETRIC ANALYSIS OF CHALLENGES WITH AI ADOPTION IN SOCIAL SCIENCES TEACHING

Abstract

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.

Keywords

Artificial intelligence (AI) , Challenges , Adoption , Higher education , Social sciences

Kaynakça

Al-Badi, A., Khan, A., & Eid-Alotaibi. (2022). Perceptions of learners and instructors towards artificial intelligence in personalized learning. Procedia Computer Science, 201, 445–451. https://doi.org/10.1016/j.procs.2022.03.058
Al-Badi, A., Khan, A., & Eid-Alotaibi. (2022). Perceptions of learners and instructors towards artificial intelligence in personalized learning. Procedia Computer Science, 201, 445–451. https://doi.org/10.1016/j.procs.2022.03.058
Birkle, C., Pendlebury, D. A., Schnell, J., & Adams, J. (2020). Web of Science as a data source for research on scientific and scholarly activity. Quantitative Science Studies, 1(1), 363–376. https://doi.org/10.1162/qss_a_00018
Birkle, C., Pendlebury, D. A., Schnell, J., & Adams, J. (2020). Web of Science as a data source for research on scientific and scholarly activity. Quantitative Science Studies, 1(1), 363–376. https://doi.org/10.1162/qss_a_00018
Borenstein, J., & Howard, A. (2020). Emerging challenges in AI and the need for AI ethics education. AI and Ethics, 1(1). https://doi.org/10.1007/s43681-020-00002-7
Borenstein, J., & Howard, A. (2020). Emerging challenges in AI and the need for AI ethics education. AI and Ethics, 1(1). https://doi.org/10.1007/s43681-020-00002-7
Castanha, R. C. G., & Wolfram, D. (2018). The domain of knowledge organization: A bibliometric analysis of prolific authors and their intellectual space. KNOWLEDGE ORGANIZATION, 45(1), 13–22. https://doi.org/10.5771/0943-7444-2018-1-13
Castanha, R. C. G., & Wolfram, D. (2018). The domain of knowledge organization: A bibliometric analysis of prolific authors and their intellectual space. KNOWLEDGE ORGANIZATION, 45(1), 13–22. https://doi.org/10.5771/0943-7444-2018-1-13
Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 1–18. https://doi.org/10.1186/s41239-023-00411-8
Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 1–18. https://doi.org/10.1186/s41239-023-00411-8

Chatterjee, S., & Bhattacharjee, K. K. (2020). Adoption of artificial intelligence in higher education: A quantitative analysis using structural equation modelling. Education and Information Technologies, 25(5), 3443–3463. https://doi.org/10.1007/s10639-020-10159-7
Chatterjee, S., & Bhattacharjee, K. K. (2020). Adoption of artificial intelligence in higher education: A quantitative analysis using structural equation modelling. Education and Information Technologies, 25(5), 3443–3463. https://doi.org/10.1007/s10639-020-10159-7
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8(8), 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8(8), 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Colavizza, G., Hrynaszkiewicz, I., Staden, I., Whitaker, K., & McGillivray, B. (2020). The citation advantage of linking publications to research data. PLOS ONE, 15(4), e0230416. https://doi.org/10.1371/journal.pone.0230416
Colavizza, G., Hrynaszkiewicz, I., Staden, I., Whitaker, K., & McGillivray, B. (2020). The citation advantage of linking publications to research data. PLOS ONE, 15(4), e0230416. https://doi.org/10.1371/journal.pone.0230416
Dignum, V. (2021). The role and challenges of education for responsible AI. London Review of Education, 19(1). https://doi.org/10.14324/lre.19.1.01
Dignum, V. (2021). The role and challenges of education for responsible AI. London Review of Education, 19(1). https://doi.org/10.14324/lre.19.1.01
Ding, Y., & Cronin, B. (2011). Popular and/or prestigious? Measures of scholarly esteem. Information Processing & Management, 47(1), 80–96. https://doi.org/10.1016/j.ipm.2010.01.002
Ding, Y., & Cronin, B. (2011). Popular and/or prestigious? Measures of scholarly esteem. Information Processing & Management, 47(1), 80–96. https://doi.org/10.1016/j.ipm.2010.01.002
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
Eck, J. N. V., & Waltman, L. (2023). VOSviewer Manual. https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.20.pdf
Eck, J. N. V., & Waltman, L. (2023). VOSviewer Manual. https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.20.pdf
Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and Weaknesses. The FASEB Journal, 22(2), 338–342. https://doi.org/10.1096/fj.07-9492lsf
Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and Weaknesses. The FASEB Journal, 22(2), 338–342. https://doi.org/10.1096/fj.07-9492lsf
Fossen, F. M., McLemore, T., & Sorgner, A. (2024). Artificial intelligence and entrepreneurship. Social Science Research Network. https://doi.org/10.2139/ssrn.4863772
Fossen, F. M., McLemore, T., & Sorgner, A. (2024). Artificial intelligence and entrepreneurship. Social Science Research Network. https://doi.org/10.2139/ssrn.4863772
Garrett, N., Beard, N., & Fiesler, C. (2020). More Than “If Time Allows”: The role of ethics in AI education. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. https://doi.org/10.1145/3375627.3375868
Garrett, N., Beard, N., & Fiesler, C. (2020). More Than “If Time Allows”: The role of ethics in AI education. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. https://doi.org/10.1145/3375627.3375868
González-Valiente, C. L., León Santos, M., Arencibia-Jorge, R., Noyons, E., & Costas, R. (2019). Mapping the Evolution of Intellectual Structure in Information Management Using Author Co-citation Analysis. Mobile Networks and Applications. https://doi.org/10.1007/s11036-019-01231-9
González-Valiente, C. L., León Santos, M., Arencibia-Jorge, R., Noyons, E., & Costas, R. (2019). Mapping the Evolution of Intellectual Structure in Information Management Using Author Co-citation Analysis. Mobile Networks and Applications. https://doi.org/10.1007/s11036-019-01231-9

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yapay Zeka (Diğer)

Bölüm

Araştırma Makalesi

Yazarlar

Cem Karatay ^*
0009-0005-0645-9124
Türkiye

Gurel Cetin
0000-0003-3568-6527
Türkiye

Ibrahim Cifci
0000-0001-7469-1906
Türkiye

Mehmet Altuğ Şahin
0000-0003-1048-1963
Türkiye

Yayımlanma Tarihi

30 Ekim 2024

Gönderilme Tarihi

13 Eylül 2024

Kabul Tarihi

25 Ekim 2024

Yayımlandığı Sayı

Yıl 2024 Sayı: Yapay Zeka ve Sosyal Bilimler Öğretimi

IZ

https://izlik.org/JA65MS65WA

APA

Karatay, C., Cetin, G., Cifci, I., & Şahin, M. A. (2024). A BIBLIOMETRIC ANALYSIS OF CHALLENGES WITH AI ADOPTION IN SOCIAL SCIENCES TEACHING. Ankara Uluslararası Sosyal Bilimler Dergisi, Yapay Zeka ve Sosyal Bilimler Öğretimi, 65-75. https://izlik.org/JA65MS65WA

AMA

1.Karatay C, Cetin G, Cifci I, Şahin MA. A BIBLIOMETRIC ANALYSIS OF CHALLENGES WITH AI ADOPTION IN SOCIAL SCIENCES TEACHING. AUSBD. 2024;(Yapay Zeka ve Sosyal Bilimler Öğretimi):65-75. https://izlik.org/JA65MS65WA

Chicago

Karatay, Cem, Gurel Cetin, Ibrahim Cifci, ve Mehmet Altuğ Şahin. 2024. “A BIBLIOMETRIC ANALYSIS OF CHALLENGES WITH AI ADOPTION IN SOCIAL SCIENCES TEACHING”. Ankara Uluslararası Sosyal Bilimler Dergisi, sy Yapay Zeka ve Sosyal Bilimler Öğretimi: 65-75. https://izlik.org/JA65MS65WA.

EndNote

Karatay C, Cetin G, Cifci I, Şahin MA (01 Ekim 2024) A BIBLIOMETRIC ANALYSIS OF CHALLENGES WITH AI ADOPTION IN SOCIAL SCIENCES TEACHING. Ankara Uluslararası Sosyal Bilimler Dergisi Yapay Zeka ve Sosyal Bilimler Öğretimi 65–75.

IEEE

[1]C. Karatay, G. Cetin, I. Cifci, ve M. A. Şahin, “A BIBLIOMETRIC ANALYSIS OF CHALLENGES WITH AI ADOPTION IN SOCIAL SCIENCES TEACHING”, AUSBD, sy Yapay Zeka ve Sosyal Bilimler Öğretimi, ss. 65–75, Eki. 2024, [çevrimiçi]. Erişim adresi: https://izlik.org/JA65MS65WA

ISNAD

Karatay, Cem - Cetin, Gurel - Cifci, Ibrahim - Şahin, Mehmet Altuğ. “A BIBLIOMETRIC ANALYSIS OF CHALLENGES WITH AI ADOPTION IN SOCIAL SCIENCES TEACHING”. Ankara Uluslararası Sosyal Bilimler Dergisi. Yapay Zeka ve Sosyal Bilimler Öğretimi (01 Ekim 2024): 65-75. https://izlik.org/JA65MS65WA.

JAMA

1.Karatay C, Cetin G, Cifci I, Şahin MA. A BIBLIOMETRIC ANALYSIS OF CHALLENGES WITH AI ADOPTION IN SOCIAL SCIENCES TEACHING. AUSBD. 2024;:65–75.

MLA

Karatay, Cem, vd. “A BIBLIOMETRIC ANALYSIS OF CHALLENGES WITH AI ADOPTION IN SOCIAL SCIENCES TEACHING”. Ankara Uluslararası Sosyal Bilimler Dergisi, sy Yapay Zeka ve Sosyal Bilimler Öğretimi, Ekim 2024, ss. 65-75, https://izlik.org/JA65MS65WA.

Vancouver

1.Cem Karatay, Gurel Cetin, Ibrahim Cifci, Mehmet Altuğ Şahin. A BIBLIOMETRIC ANALYSIS OF CHALLENGES WITH AI ADOPTION IN SOCIAL SCIENCES TEACHING. AUSBD [Internet]. 01 Ekim 2024;(Yapay Zeka ve Sosyal Bilimler Öğretimi):65-7. Erişim adresi: https://izlik.org/JA65MS65WA

AUSBD, açık erişimli bir dergidir.

AUSBD CC BY-NC-ND ile lisanslanmıştır

Web Sitesi

A Bibliometric Analysis of Challenges With AI Adoption in Social Sciences Teaching

Öz

Anahtar Kelimeler

A BIBLIOMETRIC ANALYSIS OF CHALLENGES WITH AI ADOPTION IN SOCIAL SCIENCES TEACHING

Abstract

Keywords

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

IZ

Kaynak Göster