Research Article
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Year 2023, Volume: 6 Issue: Education Special Issue, 279 - 312, 25.09.2023
https://doi.org/10.53047/josse.1352197

Abstract

References

  • Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-Tool for Comprehensive Science Mapping Analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
  • Baek, C., & Doleck, T. (2020). A bibliometric analysis of the papers published in the Journal of Artificial Intelligence in Education from 2015-2019, International Journal of Learning Analytics and Artificial Intelligence for Education, 2(1). https://doi.org/10.3991/ijai.v2i1.14481
  • Baker, T., Smith, L., & Anissa, N. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. https://media.nesta.org.uk/documents/Future_of_AI_and_education_v5_WEB.pdf.
  • Birinci, H. G. (2008). Turkish Journal of Chemistry’nin Bibliyometrik Analizi. Bilgi Dünyası, 9(2), 348-369. https://doi.org/10.15612/BD.2008.310
  • Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two decades of artificial intelligence in education. Educational Technology & Society, 25(1), 28-47. https://www.jstor.org/stable/48647028
  • Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., & Herrera, F. (2011). An Approach for Detecting, Quantifying, and Visualizing the Evolution of a Research Field: A Practical Application to The Fuzzy Sets Theory Field. J. Informetr. 5, 146–166. https://doi.org/10.1016/j.joi.2010.10.002.
  • Destereci, Z., Karaca, G. G., Baybaş, B., & Tosun, C. (2023). Eğitim Araştırmalarında Kritik Teknoloji Alanlarının Uygulamaları Kapsamında Yayınlanan Makalelerin Eğilimlerinin İncelenmesi: Bibliyometrik Haritalama Analizi. Bilgi ve İletişim Teknolojileri Dergisi, 5(1), 20-45. https://doi.org/10.53694/bited.1261406
  • Egghe, L. (2006). Theory and Practice of the G-Index. Scientometrics, 69(1), 131-152, https://doi.org/10.1007/s11192-006-0144-7
  • Harzing, A.W. (2012). Reflections on the H-Index. Business & Leadership, 1(9), 101-106. https://harzing.com/publications/white-papers/reflections-on-the-h-index
  • Hinojo-Lucena, F. J., Aznar-Díaz, I., Cáceres-Reche, M. P., & Romero-Rodríguez, J. M. (2019). Artificial intelligence in higher education: A bibliometric study on its impact in the scientific literature. Education Sciences, 9(1). https://doi.org/10.3390/educsci9010051
  • Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. National Academy of Sciences United States of America, 102(46), 16569–72. https://doi:10.1073/pnas.0507655102
  • Holmes, W., Bialik, M., & Fadel, C. (2023). Artificial intelligence in education. Globethics Publications.
  • Kamdem, J.P, Duarte, A.E, Lima, K.R.R, Rocha, J.B.T, Hassan, W., & Barros, L.M, et al., (2019). Research trends in food chemistry: A bibliometric review of its 40 years anniversary (1976–2016). Food Chemistry, 294, 448–457. https://www.sciencedirect.com/science /article/pii/S0308814619308167
  • Kurutkan, M., N., & Orhan, F. (2018). Sağlık politikası konusunun bilim haritalama teknikleri ile analizi. Iksad Publishing House.
  • Leydesdorff, L. (2012). World shares of publications of the USA, EU-27 and China compared and predicted using the new web of science ınterface versus SCOPUS. Profesional de la Información, 21(1). https://doi.org/10.3145/epi.2012.ene.06
  • Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J., Ogata, H., & Tsai, C. C. (2020). Challenges and future directions of big data and artificial intelligence in education. Frontiers in Psychology, 11, 580820. https://doi.org/10.3389/fpsyg.2020.580820
  • Luckin, R., & Holmes, W. (2016). Intelligence Unleashed: An argument for AI in education, UCL Knowledge Lab. Miao, F., Holmes, W., Huang, R., & Zhang, H. (2021). AI and education: A guidance for policymakers. UNESCO Publishing.
  • Nasir, A., Shaukat, K., Hameed, I. A., Luo, S., Alam, T. M., & Iqbal, F. (2020). A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure. IEEE Access, 13(8), 133377–133402. https://doi.org/10.1109/ACCESS.2020.3008733
  • Nemorin, S., Vlachidis, A., Ayerakwa, H. M., & Andriotis, P. (2023). AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development. Learning, Media and Technology, 48(1), 38-51. https://doi.org/10.1080/17439884.2022.2095568
  • Orimoloye, I. R., & Ololade, O.O. (2020). Potential Implications of Gold-Mining Activities on Some Environmental Components: A Global Assessment (1990 to 2018). Journal of King Saud University-Science, 32(4), 2432-2438. https://doi.org/10.1016/j.jksus.2020.03.033
  • Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO.
  • Prahani, B. K., Rizki, I. A., Jatmiko, B., Suprapto, N., & Amelia, T. (2022). Artificial Intelligence in Education Research During the Last Ten Years: A Review and Bibliometric Study. International Journal of Emerging Technologies in Learning, 17(8). https://10.3991/ijet.v17i08.29833
  • Schöggl, J.P., Stumpf, L., & Baumgartner, R.J. (2020). The Narrative of Sustainability and Circular Economy - A Longitudinal Review of Two Decades of Research. Resources, Conservation & Recycling, 163, 105073. https://10.1016/j.resconrec.2020.105073
  • Shaikevich, I.M. (1973). System of Document Connections Based on References. Scientific and Technical Information Serial of VINITI, 6(2), 3-8. https://garfield.library.upenn.edu/marshakova/marshakovanauchtechn1973.pdf
  • Shi, J., Duan, K., Wu, G., Zhang, R., & Feng, X. (2020). Comprehensive metrological and content analysis of the public–private partnerships (PPPs) Research field: A new bibliometric journey. Scientometrics, 124, 2145-2184. https://doi.org/10.1007/s11192-020-03607-1
  • Talan, T. (2021). Artificial Intelligence in Education: A Bibliometric Study. International Journal of Research in Education and Science, 7(3), 822-837. https://doi.org/10.46328/ijres.2409
  • Ventura, Michele. (2017). Creating Inspiring Learning Environments by means of Digital Technologies: A Case Study of the Effectiveness of WhatsApp in Music Education. EAI Endorsed Transactions on e-Learning, 4(14), 152906. https://10.4108/eai.26-7-2017.152906.
  • Wang, F. H. (2017). An exploration of online behaviour engagement and achievement in flipped classroom supported by learning management system. Computers & Education, 114, 79-91. https://doi.org/10.1016/j.compedu.2017.06.012
  • Woolf, B. (1991). AI in education [Doctoral dissertation, University of Massachusetts at Amherst]. ProQuest Dissertations & Theses Global.

Articles on Education and Artificial Intelligence: A Bibliometric Analysis

Year 2023, Volume: 6 Issue: Education Special Issue, 279 - 312, 25.09.2023
https://doi.org/10.53047/josse.1352197

Abstract

In our rapidly evolving technological landscape, the educational sector is undergoing a profound transformation with the integration of artificial intelligence (AI). This study undertakes a comprehensive investigation at the intersection of education and AI to shed light on emerging trends and intricate relationships. By employing advanced bibliometric techniques, an analysis of 6498 articles spanning the years 1980 to 2022 is conducted, revealing core thematic areas, influential author networks, and the dynamic evolution of keywords. The remarkable annual growth rate of 22.68% in published articles underscores the rapid expansion of this field. Noteworthy contributors include prominent countries such as China, the US, the UK, Australia, and India. Predominant themes like Machine Learning and AI permeate the discourse, while visually engaging word clouds highlight the most prominent keywords. Through meticulous thematic analysis, this study categorizes themes into core, niche, emerging, and declining categories, providing a nuanced understanding of focal points and underserved areas. The insights gained from this analysis hold significant implications for both researchers and policymakers, helping to shape future directions in the realm of education and AI. This study takes a forward-looking perspective, envisioning the dynamic future where education and AI intertwine, offering guidance for research endeavors and strategic decision-making. In essence, this study not only encapsulates the historical and current landscape of education and AI but also forecasts their potential trajectories. The rich insights into evolving trends, dominant themes, and research priorities position this work as a resource for both academia and industry.

Ethical Statement

No potential conflict of interest was reported by the author.

Supporting Institution

The author received no specific funding for this work.

References

  • Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-Tool for Comprehensive Science Mapping Analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
  • Baek, C., & Doleck, T. (2020). A bibliometric analysis of the papers published in the Journal of Artificial Intelligence in Education from 2015-2019, International Journal of Learning Analytics and Artificial Intelligence for Education, 2(1). https://doi.org/10.3991/ijai.v2i1.14481
  • Baker, T., Smith, L., & Anissa, N. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. https://media.nesta.org.uk/documents/Future_of_AI_and_education_v5_WEB.pdf.
  • Birinci, H. G. (2008). Turkish Journal of Chemistry’nin Bibliyometrik Analizi. Bilgi Dünyası, 9(2), 348-369. https://doi.org/10.15612/BD.2008.310
  • Chen, X., Zou, D., Xie, H., Cheng, G., & Liu, C. (2022). Two decades of artificial intelligence in education. Educational Technology & Society, 25(1), 28-47. https://www.jstor.org/stable/48647028
  • Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., & Herrera, F. (2011). An Approach for Detecting, Quantifying, and Visualizing the Evolution of a Research Field: A Practical Application to The Fuzzy Sets Theory Field. J. Informetr. 5, 146–166. https://doi.org/10.1016/j.joi.2010.10.002.
  • Destereci, Z., Karaca, G. G., Baybaş, B., & Tosun, C. (2023). Eğitim Araştırmalarında Kritik Teknoloji Alanlarının Uygulamaları Kapsamında Yayınlanan Makalelerin Eğilimlerinin İncelenmesi: Bibliyometrik Haritalama Analizi. Bilgi ve İletişim Teknolojileri Dergisi, 5(1), 20-45. https://doi.org/10.53694/bited.1261406
  • Egghe, L. (2006). Theory and Practice of the G-Index. Scientometrics, 69(1), 131-152, https://doi.org/10.1007/s11192-006-0144-7
  • Harzing, A.W. (2012). Reflections on the H-Index. Business & Leadership, 1(9), 101-106. https://harzing.com/publications/white-papers/reflections-on-the-h-index
  • Hinojo-Lucena, F. J., Aznar-Díaz, I., Cáceres-Reche, M. P., & Romero-Rodríguez, J. M. (2019). Artificial intelligence in higher education: A bibliometric study on its impact in the scientific literature. Education Sciences, 9(1). https://doi.org/10.3390/educsci9010051
  • Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. National Academy of Sciences United States of America, 102(46), 16569–72. https://doi:10.1073/pnas.0507655102
  • Holmes, W., Bialik, M., & Fadel, C. (2023). Artificial intelligence in education. Globethics Publications.
  • Kamdem, J.P, Duarte, A.E, Lima, K.R.R, Rocha, J.B.T, Hassan, W., & Barros, L.M, et al., (2019). Research trends in food chemistry: A bibliometric review of its 40 years anniversary (1976–2016). Food Chemistry, 294, 448–457. https://www.sciencedirect.com/science /article/pii/S0308814619308167
  • Kurutkan, M., N., & Orhan, F. (2018). Sağlık politikası konusunun bilim haritalama teknikleri ile analizi. Iksad Publishing House.
  • Leydesdorff, L. (2012). World shares of publications of the USA, EU-27 and China compared and predicted using the new web of science ınterface versus SCOPUS. Profesional de la Información, 21(1). https://doi.org/10.3145/epi.2012.ene.06
  • Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J., Ogata, H., & Tsai, C. C. (2020). Challenges and future directions of big data and artificial intelligence in education. Frontiers in Psychology, 11, 580820. https://doi.org/10.3389/fpsyg.2020.580820
  • Luckin, R., & Holmes, W. (2016). Intelligence Unleashed: An argument for AI in education, UCL Knowledge Lab. Miao, F., Holmes, W., Huang, R., & Zhang, H. (2021). AI and education: A guidance for policymakers. UNESCO Publishing.
  • Nasir, A., Shaukat, K., Hameed, I. A., Luo, S., Alam, T. M., & Iqbal, F. (2020). A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure. IEEE Access, 13(8), 133377–133402. https://doi.org/10.1109/ACCESS.2020.3008733
  • Nemorin, S., Vlachidis, A., Ayerakwa, H. M., & Andriotis, P. (2023). AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development. Learning, Media and Technology, 48(1), 38-51. https://doi.org/10.1080/17439884.2022.2095568
  • Orimoloye, I. R., & Ololade, O.O. (2020). Potential Implications of Gold-Mining Activities on Some Environmental Components: A Global Assessment (1990 to 2018). Journal of King Saud University-Science, 32(4), 2432-2438. https://doi.org/10.1016/j.jksus.2020.03.033
  • Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO.
  • Prahani, B. K., Rizki, I. A., Jatmiko, B., Suprapto, N., & Amelia, T. (2022). Artificial Intelligence in Education Research During the Last Ten Years: A Review and Bibliometric Study. International Journal of Emerging Technologies in Learning, 17(8). https://10.3991/ijet.v17i08.29833
  • Schöggl, J.P., Stumpf, L., & Baumgartner, R.J. (2020). The Narrative of Sustainability and Circular Economy - A Longitudinal Review of Two Decades of Research. Resources, Conservation & Recycling, 163, 105073. https://10.1016/j.resconrec.2020.105073
  • Shaikevich, I.M. (1973). System of Document Connections Based on References. Scientific and Technical Information Serial of VINITI, 6(2), 3-8. https://garfield.library.upenn.edu/marshakova/marshakovanauchtechn1973.pdf
  • Shi, J., Duan, K., Wu, G., Zhang, R., & Feng, X. (2020). Comprehensive metrological and content analysis of the public–private partnerships (PPPs) Research field: A new bibliometric journey. Scientometrics, 124, 2145-2184. https://doi.org/10.1007/s11192-020-03607-1
  • Talan, T. (2021). Artificial Intelligence in Education: A Bibliometric Study. International Journal of Research in Education and Science, 7(3), 822-837. https://doi.org/10.46328/ijres.2409
  • Ventura, Michele. (2017). Creating Inspiring Learning Environments by means of Digital Technologies: A Case Study of the Effectiveness of WhatsApp in Music Education. EAI Endorsed Transactions on e-Learning, 4(14), 152906. https://10.4108/eai.26-7-2017.152906.
  • Wang, F. H. (2017). An exploration of online behaviour engagement and achievement in flipped classroom supported by learning management system. Computers & Education, 114, 79-91. https://doi.org/10.1016/j.compedu.2017.06.012
  • Woolf, B. (1991). AI in education [Doctoral dissertation, University of Massachusetts at Amherst]. ProQuest Dissertations & Theses Global.
There are 29 citations in total.

Details

Primary Language English
Subjects Instructional Technologies
Journal Section Articles
Authors

Akın Metli 0000-0002-7117-9189

Publication Date September 25, 2023
Acceptance Date September 22, 2023
Published in Issue Year 2023 Volume: 6 Issue: Education Special Issue

Cite

APA Metli, A. (2023). Articles on Education and Artificial Intelligence: A Bibliometric Analysis. Journal of Social Sciences And Education, 6(Education Special Issue), 279-312. https://doi.org/10.53047/josse.1352197

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