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

Yıl 2024, Sayı: Yapay Zeka ve Sosyal Bilimler Öğretimi, 65 - 75, 30.10.2024

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

https://izlik.org/JA65MS65WA

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

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

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

Yıl 2024, Sayı: Yapay Zeka ve Sosyal Bilimler Öğretimi, 65 - 75, 30.10.2024

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

https://izlik.org/JA65MS65WA

Öz

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.

Anahtar Kelimeler

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
Toplam 32 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yapay Zeka (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Cem Karatay 0009-0005-0645-9124

Gurel Cetin 0000-0003-3568-6527

Ibrahim Cifci 0000-0001-7469-1906

Mehmet Altuğ Şahin 0000-0003-1048-1963

Gönderilme Tarihi 13 Eylül 2024
Kabul Tarihi 25 Ekim 2024
Yayımlanma Tarihi 30 Ekim 2024
IZ https://izlik.org/JA65MS65WA
Yayımlandığı Sayı Yıl 2024 Sayı: Yapay Zeka ve Sosyal Bilimler Öğretimi

Kaynak Göster

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

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