References
- Alamäki, A., Nyberg, C., Kimberley, A., & Salonen, A. O. (2024) Artificial intelligence literacy in sustainable development: A learning experiment in higher education. Frontiers Education, 9(1), 1-10. https://doi.org/10.3389/feduc.2024.1343406
- Alamäki, A., Mäki, M., & Kauttonen, J. (2023). How students’ information sensitivity, privacy trade-offs and stages of customer journey affect consent to utilize personal data. Interdisciplinary Journal of Information, Knowledge, and Management, 18, 127-174. https://doi.org/10.28945/5098
- Algureìn, B. (2021). How to bring about change-A literature review about education and learning activities for sustainable development. Discourse and Communication for Sustainable Education, 12(1), 5-21. https://doi.org/10.2478/dcse-2021-0002
- Al-Sharafi, M. A., Al-Emran, M., Iranmanesh, M., Al-Qaysi, N., Iahad, N. A., & Arpaci, I. (2023). Understanding the impact of knowledge management factors on the sustainable use of AI-based chatbots for educational purposes using a hybrid SEM-ANN approach. Interactive Learning Environments, 31(10), 7491-7510. https://doi.org/10.1080/10494820.2022.2075014
- Al-Zahrani, A. M. (2024). Unveiling the shadows: Beyond the hype of AI in education. Heliyon, 10(9), 1-15. https://doi.org/10.1016/j.heliyon.2024.e30696
- 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
- Arksey, H., & O’Malley, L. (2005). Scoping studies: Towards a methodological framework. International Journal of Social Research Methodology: Theory & Practice, 8(1), 19–32. https://doi.org/10.1080/-1364557032000119616
- Bağış, M. (2021). Main analysis techniques used in bibliometric research. In Öztürk, O., & Gürler, G. (Eds.) Bibliometric analysis as a literature review tool (pp. 97-123). Nobel Academic.
- 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/10.11-62/qss_a_00018
- Cevikbas, M., Kaiser, G., & Schukajlow, S. (2024). Trends in mathematics education and insights from a meta-review and bibliometric analysis of review studies. ZDM Mathematics Education 56(2), 165–188. https://doi.org/10.1007/s11858-024-01587-7
- Cevikbas, M., Kaiser, G., & Schukajlow, S. (2022). A systematic literature review of the current discussion on mathematical modelling competencies: State-of-the-art developments in conceptualizing, measuring, and fostering. Educational Studies in Mathematics, 109(2), 205–236. https://doi.org/10.1007/s10649-021-10104-6
- Chen, H. E., Sun, D., Hsu, T. C., Yang, Y., & Sun, J. (2023). Visualising trends in computational thinking research from 2012 to 2021: A bibliometric analysis. Thinking Skills and Creativity, 47(7), 1-18. https://doi.org/10.1016/j.tsc.2022.101224
- Chen, X., Xie, H., Zou, D., & Hwang, G. J. (2020). Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1(3), 1-20. https://doi.org/10.1016/j.caeai.2020.100002
- Chen, X., Yu, G., Cheng, G., & Hao, T. (2019). Research topics, author profiles, and collaboration networks in the top-ranked journal on educational technology over the past 40 years: A bibliometric analysis. Journal of Computers in Education, 6(4), 563-585. https://doi.org/10.1007/s40692-019-00149-1
- Chiu, T. K., & Chai, C. S. (2020). Sustainable curriculum planning for artificial intelligence education: A self-determination theory perspective. Sustainability, 12(14), 1-18. https://doi.org/10.3390/su1214-5568
- Cobo, M., Lopez-Herrera, A., 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. Journal of Informetrics, 5(1), 146-166. https://doi.org/10.1016/j.joi.2010.10.002
- Creswell, J. W. (2013). Qualitative inquiry and research design: Choosing among five approaches (3rd Ed.), Sage.
- Dağhan, G., & Akkoyunlu, B. (2015). General trends of the studies about the sustainability of the technology usage in education: a thematic content analysis study. Education and Science, 40(178), 225-253. http://dx.doi.org/10.15390/EB.2015.4175
- Dhiman, R., Miteff, S., Wang, Y., Ma, S. C., Amirikas, R., & Fabian, B. (2024). Artificial intelligence and sustainability-A review. Analytics, 3(1), 140-164. https://doi.org/10.3390/analytics3010008
- 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(5), 285-296. https://doi.org/10.1016/-j.jbusres.2021.04.070
- Findlay, K., & van Rensburg, O. (2018). Using interaction networks to map communities on Twitter. International Journal of Market Research, 60(2), 169-189. https://doi.org/10.1177/147078531-7753025
- Fu, Y., Weng, Z., & Wang, J. (2024). Examining AI use in educational contexts: A scoping meta-review and bibliometric analysis. International Journal of Artificial Intelligence in Education, 1-57 (in press). https://doi.org/10.1007/s40593-024-00442-w
- Gašević, D., Siemens, G., & Sadiq, S. (2023). Empowering learners for the age of artificial intelligence. Computers and Education: Artificial Intelligence, 4(4), 1-4. https://doi.org/10.1016/j.caeai.2023.100-130
- Goralski, M. A., & Tan, T. K. (2020). Artificial intelligence and sustainable development. The International Journal of Management Education, 18(1), 1-9. https://doi.org/10.1016/j.ijme.2019.100330
- Hwang, G. J., Hung, P. H., Chen, N. S., & Liu, G. Z. (2014). Mindtool-assisted in-field learning (MAIL): An advanced ubiquitous learning project in Taiwan. Educational Technology and Society, 17(2), 4-16.
- Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New era of artificial intelligence in education: Towards a sustainable multifaceted revolution. Sustainability, 15(16), 1-27. https://doi.org/10.33-90/su151612451
- Leal Filho, W., Yang, P., Eustachio, J. H. P. P., Azul, A. M., Gellers, J. C., Gielczyk, A., Dinis, M. A. P., & Kozlova, V. (2023). Deploying digitalisation and artificial intelligence in sustainable development research. Environment, Development and Sustainability, 25(6), 4957-4988. https://doi.org/10.1007/s10668-022-02252-3
- Liao, H., Tang, M., Li, Z., & Lev, B. (2019). Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on essential science indicators. Omega, 88(C), 223-236. https://doi.org/10.1016/j.omega.2018.11.005
- Lin, C. C., Huang, A. Y. Q., & Lu, O. H. T. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: A systematic review. Smart Learning Environments, 10(41), 1-22. https://doi.org/10.1186/s40561-023-00260-y
- Meylani, R. (2024). Artificial intelligence in the education of teachers: a qualitative synthesis of the cutting-edge research literature. Journal of Computer and Education Research, 12(24), 600-637. https://doi.org/10.18009/jcer.1477709
- Mostafa, M. M. (2023). Three decades of interactive learning environments: A retrospective bibliometric network analysis. Interactive Learning Environments, 31(10), 6968-6987. https://doi.org/10.10-80/10494820.2022.2057548
- Nedungadi, P., Tang, K. Y., & Raman, R. (2024). The transformative power of generative artificial ıntelligence for achieving the sustainable development goal of quality education. Sustainability, 16(22), 1-27. https://doi.org/10.3390/su16229779
- Nishant, R., Kennedy, M., & Corbett, J. (2020). Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda. International Journal of Information Management, 53(C), 1-13. https://doi.org/10.1016/j.ijinfomgt.2020.102104
- Organisation for Economic Co-operation and Development (OECD) (2018). The future of education skills: Education 2030. https://www.oecd.org/en/about.html
- Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hrobjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372(71), 1–9. https://doi.org/10.1136/-bmj.n71
- Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org/ark:/48223/pf0000366994
- Russell, S. J., & Norvig, P. (2016). Artificial intelligence: A modern approach. Pearson.
- Saritepeci, M., & Yildiz Durak, H. (2024). Effectiveness of artificial intelligence integration in design-based learning on design thinking mindset, creative and reflective thinking skills: An experimental study. Education and Information Technologies, 29(18), 25175–25209. https://doi.org/10.1007/s10639-024-12829-2
- United Nations Educational, Scientific and Cultural Organization (UNESCO) (2015). Transforming our world: The 2030 agenda for sustainable development. https://www.refworld.org/legal/-resolution/unga/2015/en/111816
- Van Eck N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. https://doi.org/10.1007/s11192-009-0146-3
- Verbeek, A., Debackere, K., Luwel, M., & Zimmermann, E. (2002). Measuring progress and evolution in science and technology-I: the multiple uses of bibliometric indicators. International Journal of Management Reviews, 4(2), 179-211. https://doi.org/10.1111/1468-2370.00083
- Web of Science Group (WoSG) (2025). Web of Science Core Collection. https://clarivate.com/
- Yeung, K. (2020). Recommendation of the council on artificial intelligence (OECD). International Legal Materials, 59(1), 27-34.
- Yuskovych-Zhukovska, V., Poplavska, T., Diachenko, O., Mishenina, T., Topolnyk, Y., & Gurevych, R. (2022). Application of artificial intelligence in education. Problems and opportunities for sustainable development. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 13(1), 339-356. https://doi.org/10.18662/brain/13.1Sup1/322
- Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1-27. https://doi.org/10.1186/s41239-019-0171-0