Articles
| Open Access |
https://doi.org/10.37547/ijp/Volume05Issue11-32
Innovative Methodological Approach Based On Artificial Intelligence To The Activities Of Specialized Educational Institutions
Abstract
The article explores the integration of artificial intelligence (AI) as a methodological foundation for optimizing the activities of specialized educational institutions. It examines how AI-driven systems can modernize pedagogical design, individualize learning trajectories, and enhance administrative decision-making. The study emphasizes the need for a systemic, ethically responsible, and pedagogically grounded use of AI that aligns with institutional goals, professional standards, and human development. Based on recent educational research and practical models, the paper outlines an innovative methodological framework for incorporating AI tools into teaching, learning, assessment, and institutional governance processes.
Keywords
Artificial intelligence, educational innovation, specialized institutions
References
OECD. (2022). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Paris: OECD Publishing.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. (2016). Intelligence Unleashed: An Argument for AI in Education. London: Pearson Education.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign.
Zawacki-Richter, O., et al. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), 1–27.
Weller, M. (2021). 25 Years of EdTech. London: Athabasca University Press.
Li, X., & Chen, Z. (2024). AI-driven adaptive learning models for specialized vocational education. Computers & Education, 210, 104870.
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