The Experience of Using Artificial Intelligence in the Educational Field in Japan and the Mechanisms for Benefiting from it In the Arab Gulf Countries
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Abstract
The presence of Artificial Intelligence (AI) serves as a transformative power in worldwide learning systems by creating adaptive educational methods and improving administration practices while enhancing accessibility opportunities. Japan demonstrates good examples of how AI technology can complement learning by having software that adjusts to the learners' course, AI-based personal coaching, and an intelligent forecast model. There are numerous advantages to using AI in instruction, such as enhancing student attention and effectively delivering content. AI technology ensures that data privacy issues are solved, reduces algorithmic biases, and acquaints employees with assimilating AI systems into an institution. AI-based solutions gained recognition from the Arab Gulf region, Saudi Arabia, and UAE, leading to the implementation of AI policies to configure these solutions. The Gulf region should learn from Japan by creating AI strategies that involve investing in digital networks, educator training initiatives, and ethical AI principles and setting up joint governmental-private sector programs. AI creates educational solutions that resolve systemic issues while accommodating various students' requirements and optimizing administrative systems. Through well-planned implementation of operational AI Systems, gulf countries will achieve a strong AI-based educational system with better institutional performance and learning results. The successful educational modernization of Japan serves as an example of how AI Systems support educational transformation from traditional to modern learning systems. The Gulf Region succeeds in finding solutions and generating educational possibilities for innovation by implementing AI-based strategies.
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References
Al-Fanar Media. (2024). As AI transforms Arab higher education, universities navigate benefits and challenges. https://www.al-fanarmedia.org/2024/11/as-ai-transforms-arab-higher-education-universities-navigate-benefits-and-challenges/
AGBI. (2023). AI education in the UAE. https://www.agbi.com/tech/2023/11/ai-education-in-the-uae/
AI Expert Network. (2025). Case study: AI integration in Japan’s education sector. https://aiexpert.network/ai-integration-in-japans-education-sector/
Al-Khalifa, H. (2021). Policy frameworks for integrating AI into education in the Gulf region: Challenges and solutions. Education and Information Technologies, 26(2), 1581-1598. https://doi.org/10.1007/s10639-020-10480-1
Arab News. (2024). Preparing for an AI-driven education system: Global contexts and insights for Saudi Arabia. https://www.arabnews.com/node/2372411/preparing-ai-driven-education-system-global-contexts-and-insights-saudi-arabia
Arab News Japan. (2025). How AI and remote learning platforms are transforming education in the Middle East. https://www.arabnews.jp/en/middle-east/article_91764/
Booth, W. C., Colomb, G. G., & Williams, J. M. (2016). The craft of research (4th ed.). University of Chicago Press.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Chen, X., Zou, D., Xie, H., & Cheng, G. (2020). Fifty years of research on AI in education: Insights from a bibliometric analysis. Educational Technology & Society, 23(1), 26–40.
Cioffi, R., Travaglioni, M., Piscitelli, G., Petrillo, A., & De Felice, F. (2020). Artificial intelligence and machine learning applications in smart production: Progress, trends, and directions. Sustainability, 12(2), 492. https://doi.org/10.3390/su12020492
Cobianchi, S., Pugliese, L., Peloso, A., Dal Mas, F., & Angelos, P. (2022). Artificial intelligence in healthcare and education: Ethical considerations and practical applications. AI & Society, 37(3), 1–13. https://doi.org/10.1007/s00146-022-01386-w
Cobianchi, L., et al. (2022). Ethical concerns in AI-driven educational systems. Journal of Educational Technology.
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). SAGE Publications.
Denzin, N. K. (2017). The research act: A theoretical introduction to sociological methods. Routledge.
EU-Japan Centre for Industrial Cooperation. (2025). Report: Artificial intelligence in the Japanese educational sector. https://www.eu-japan.eu/eubusinessinjapan/library/publication/report-artificial-intelligence-japanese-educational-sector
Lai, K., Chen, S., & Chou, C. (2020). The impact of AI on student engagement and learning outcomes: A review of personalized learning systems. Journal of Educational Computing Research, 58(3), 447-469. https://doi.org/10.1177/0735633120919564
Lee, J., Choi, K., & Kim, S. (2020). Adoption of AI in education: Overcoming challenges in developing countries. Educational Technology Research and Development, 68(3), 1097-1112. https://doi.org/10.1007/s11423-020-09773-2
Manca, S., & Masiello, G. (2021). Exploring ethical challenges of AI in education: Data privacy and bias considerations. Computers and Education, 173, 104282. https://doi.org/10.1016/j.compedu.2021.104282
Song, Y., & Wang, J. (2020). Adaptive learning technologies and AI applications in education: A systematic review. Computers & Education, 156, 103940. https://doi.org/10.1016/j.compedu.2020.103940
Takanori, M., Ishida, Y., & Tanaka, H. (2021). The application of artificial intelligence in Japanese education: Opportunities and challenges. International Journal of Educational Technology in Higher Education, 18(1), 34-49. https://doi.org/10.1186/s41239-021-00239-7
Tanveer, M. I., Majeed, M. K., & Al-Samarraie, H. (2020). AI-powered assistive technologies for students with disabilities: A review. Education and Information Technologies, 25(6), 4905-4922. https://doi.org/10.1007/s10639-020-10224-9
Ulnicane, I. (2022). Artificial intelligence and the future of education: Ethical and policy implications. AI & Ethics, 2(1), 25-40. https://doi.org/10.1007/s43681-021-00052-4