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http://ds.knu.edu.ua/jspui/handle/123456789/5503
Назва: | Optimizing Teacher Training and Retraining for the Age of AI-Powered Personalized Learning: A Bibliometric Analysis |
Автори: | Mintii, Iryna Semerikov, Serhiy |
Ключові слова: | Teacher Training Professional Development Artificial Intelligence Large Language Models Personalized Learning Adaptive Learning Education Technology Bibliometric Analysis Research Trends |
Дата публікації: | 8-жов-2024 |
Видавництво: | Springer, Cham |
Бібліографічний опис: | Mintii I. Optimizing Teacher Training and Retraining for the Age of AI-Powered Personalized Learning: A Bibliometric Analysis / Iryna Mintii, Serhiy Semerikov // Information Technology for Education, Science, and Technics: Proceedings of ITEST 2024, Volume 2 / Editors : Emil Faure, Yurii Tryus, Tero Vartiainen, Olena Danchenko, Maksym Bondarenko, Constantine Bazilo, Grygoriy Zaspa // Lecture Notes on Data Engineering and Communications Technologies. – Cham : Springer, 2024. – Vol. 222. – P. 339–357. – DOI : https://doi.org/10.1007/978-3-031-71804-5_23 |
Короткий огляд (реферат): | The rapid advancement of artificial intelligence (AI) technologies has ushered in transformative changes in education, with AI-powered personalized learning systems emerging as a game-changing innovation. However, the successful implementation of these intelligent systems hinges on the preparedness and competence of educators to effectively harness their potential. This bibliometric analysis provides a comprehensive exploration of the research landscape on teacher training and retraining for AI-powered personalized learning. By analyzing publications, authors, institutions, countries, sources, and keyword co-occurrences, this study unveils key insights, trends, and potential gaps. The results highlight the recent surge in research interest, driven by practical AI applications and the COVID-19 pandemic’s impact on education. Influential contributors, institutions, and countries are identified, shedding light on the geographical distribution and collaborative networks shaping this field. The analysis reveals the multidisciplinary nature of the research, with contributions from diverse domains such as educational technology, artificial intelligence, sustainability, and wireless communications. Through keyword co-occurrence analysis, prevalent themes, concepts, and emerging trends are uncovered, including the central focus on teachers, technology, teaching practices, classroom environments, curriculum, and specific AI models like ChatGPT. While the study identifies potential research gaps, such as the need for more pedagogical implications of AI in education, the insights gained can assist in development of effective teacher training and retraining programs, equipping educators to navigate the transformative age of AI-powered personalized learning. |
Опис: | Publications - Dimensions (2024). https://app.dimensions.ai/discover/publication. Accessed 12 May 2024 Scopus (2024). https://en.wikipedia.org/wiki/Scopus. Accessed 12 May 2024 Web of Science (2024). https://en.wikipedia.org/wiki/Web_of_Science. Accessed 12 May 2024 Cebrián, G., Palau, R., Mogas, J.: The smart classroom as a means to the development of ESD methodologies. Sustainability 12(7), 3010 (2020). https://doi.org/10.3390/su12073010 Article Google Scholar Centre for Science and Technology Studies, Leiden University, The Netherlands: VOSviewer - Visualizing scientific landscapes (2024). https://www.vosviewer.com/. Accessed 12 May 2024 Demianenko, V.B.: Principles of a unified open personalized computer-integrated learning environment for the Junior Academy of Sciences of Ukraine. Educ. Dimension 8, 187–211 (2023). https://doi.org/10.31812/ed.599 van Eck, N.J., Waltman, L.: VOSviewer Manual: Manual for VOSviewer version 1.6.20. Universiteit Leiden, October 2023. https://tinyurl.com/mry32wb5. Accessed 12 May 2024 Fadieieva, L.O.: Enhancing adaptive learning with Moodle’s machine learning. Educ. Dimension 5, 1–7 (2021). https://doi.org/10.31812/ed.625 Mehdi, Y.: Announcing the next wave of AI innovation with Microsoft Bing and Edge, May 2023. https://tinyurl.com/47zrwcjw. Accessed 12 May 2024 Mintii, I.S., Semerikov, S.O.: Optimizing Teacher Training and Retraining for the Age of AI-Powered Personalized Learning: A Bibliometric Analysis (Raw and Processed Data, May 2024. https://github.com/ssemerikov/ITEST2024_MintiiSemerikov. Accessed 12 May 2024 Mintii, I.S.: Blended learning for teacher training: benefits, challenges, and recommendations. Educ. Dimension 9, 1–12 (2023). https://doi.org/10.31812/ed.581 Ndibalema, P.M.: The growth of cyberbullying among youth in higher learning institutions: a bibliometric analysis. Educ. Dimension 10, 143–166 (2024). https://doi.org/10.55056/ed.700 OpenAI: Introducing ChatGPT, November 2022. https://openai.com/blog/chatgpt. Accessed 12 May 2024 Page, M.J., et al.: The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372, n71 (2021). https://doi.org/10.1136/bmj.n71 Article Google Scholar Pichai, S.: An important next step on our AI journey, February 2023. https://blog.google/technology/ai/bard-google-ai-search-updates/. Accessed 12 May 2024 Semerikov, S.O., Striuk, A.M., Shalatska, H.M.: AI-assisted language education: critical review. Educ. Dimension 4, 1–7 (2021). https://doi.org/10.31812/ed.623 Semerikov, S.O., et al.: Development of the computer vision system based on machine learning for educational purposes. Educ. Dimension 5, 8–60 (2021). https://doi.org/10.31812/educdim.4717 Smyrnova-Trybulska, E., Morze, N., Kuzminska, O., Kommers, P.: Mapping and visualization: selected examples of international research networks. J. Inf. Commun. Ethics Soc. 16(4), 381–400 (2018). https://doi.org/10.1108/JICES-03-2018-0028 |
URI (Уніфікований ідентифікатор ресурсу): | https://link.springer.com/chapter/10.1007/978-3-031-71804-5_23 https://doi.org/10.1007/978-3-031-71804-5_23 http://ds.knu.edu.ua/jspui/handle/123456789/5503 |
ISBN: | 978-3-031-71803-8 978-3-031-71804-5 |
Розташовується у зібраннях: | Кафедра професійної та соціально-гуманітарної освіти |
Файли цього матеріалу:
Файл | Опис | Розмір | Формат | |
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ITEST_2024_vol_2-350-368_Mintii_Semerikov.pdf | 2.88 MB | Adobe PDF | Переглянути/Відкрити |
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