EVALUATION OF INTERNATIONAL ARTIFICIAL INTELLIGENCE STRATEGIES IN THE CONTEXT OF EDUCATION
DOI:
https://doi.org/10.5281/zenodo.14131787Keywords:
Artificial ıntelligence, artificial ıntelligence in education, ınternational artificial ıntelligence strategiesAbstract
The accelerated advancement and global dissemination of artificial intelligence technologies have heightened interest in the artificial intelligence strategies of countries and underscored the significance of these strategies. As of 2024, 63 countries have published their national artificial intelligence strategies. These strategies address the potential impacts of artificial intelligence on a range of sectors, including education, health, finance, transportation, production, agriculture, and law. They also outline plans for addressing these impacts. This research project aims to examine the role of education in the context of internationally published artificial intelligence strategy reports. In particular, it will investigate how countries include education in their artificial intelligence strategies and how they integrate artificial intelligence into their education systems. Furthermore, it will evaluate the similarities and differences in education strategies within the framework of the socio-economic structures and national priorities of the countries in question. Finally, it will make suggestions for the efficient use of artificial intelligence in education.
References
Afyonluoğlu, M. (2017). Uluslararası Yapay Zeka Stratejileri. Erişim adresi: https://afyonluoglu.org/bit-kilavuzlar/yapayzeka-stratejileri/ Erişim tarihi: 6 Ağustos 2024.
Baker, R. S., & Inventado, P. S. (2014). Educational Data Mining and Learning Analytics. In J. A. Larusson & B. White (Eds.), Learning Analytics: From Research to Practice (pp. 61-75). Springer.
Buchanan, B. G. (2005). Some recollections about the early days of AAAI. AI Magazine, 26(4), 13-13.
Bulut, O., Beiting-Parrish, M., Casabianca, J. M., Slater, S. C., Jiao, H., Song, D., ... & Morilova, P. (2024). The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges. arXiv preprint arXiv:2406.18900.
Collins, J., & Fauser, B. (2005). Balancing the strengths of systematicand narrative reviews. Hum Reprod Update, 11(2), 103-104.
Cronin, P., Ryan, F., & Coughlan, M. (2008). Undertaking a literature review: a tep-by-step approach. British Journal of Nursing, 17(4), 38–43.
Ekbia. H.R. (2010). Fifty Years Of Research İn Artificial İntelligence. Annual Review Of İnformation Science And Technology, 44 (1), 201-242.
Floridi, L., & Cowls, J. (2019). A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review, 1(1).
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
Lee, K. F. (2018). AI Superpowers: China, Silicon Valley, and the New World Order. Houghton Mifflin Harcourt.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson Education.
Mallik, S., & Gangopadhyay, A. (2023). Proactive and reactive engagement of artificial intelligence methods for education: a review. Frontiers in artificial intelligence, 6, 1151391.
Manning, C. (2020). Artificial Intelligence Definitions. Standford University.
Nabiyev, V. V. (2012). Yapay zeka: İnsan bilgisayar etkileşimi. Seçkin Yayıncılık.
Ojha, S., Narendra, A., Mohapatra, S., & Misra, I. (2023). From robots to books: An introduction to smart applications of AI in education (AIEd). 2301.10026.
OxfordInsights. (2023). Government AI Readiness Index 2023. Erişim Adresi: https://oxfordinsights.com/ai-readiness/ai-readiness-index/ Erişim Tarihi: 10.08.2024.
Su, J., & Zhong, Y. (2022). Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100072
Subramanian, A. K., Chen, Y., Almalki, A., Sivamurthy, G., & Kafle, D. (2022). Cephalometric analysis in orthodontics using artificial Intelligence—A comprehensive review. BioMed Research International. doi:https://doi.org/10.1155/2022/1880113
Taşçı, G., & Çelebi, M. (2020). Eğitimde yeni bir paradigma: “Yükseköğretimde Yapay Zekâ”. OPUS Uluslararası Toplum Araştırmaları Dergisi, 16(29), 2346–2370. https://doi.org/10.26466/opus.747634.
Tomasev, N., Cornebise, J., Hutter, F. et al. (2020). AI For Social Good: Unlocking The Opportunity For Positive İmpact. Nat Commun, 11, 2468 https://doi.org/10.1038/s41467-020-15871-z
Touretzky, D. S. (2017). Computational thinking and mental models: From Kodu to Calypso. In 2017 IEEE blocks and beyond workshop (B&B), 71-78. https://doi.org/10.1109/BLOCKS.2017.8120416.
Wollowski, M., Neller, T.& Boerkoel Jr, J.(2017). Artificial Intelligence Education: Editorial Introduction. AI Magazine. 38(5).
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), 39.
Zheng, Hu and He, Wang (2021) Relevant Concepts, Key Technologies and Typical Application Scenarios of AI + Education. Journal of Physics: Conference Series, 1861 (1). 012059.
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