This article provides an analytical overview of the impact of artificial intelligence on contemporary educational systems. It examines adaptive learning technologies, automated assessment tools, personalized learning resources, and the improvement of pedagogical effectiveness. Based on scientific literature, the study presents evidence regarding the benefits and limitations of AI integration in education. Issues such as digital inequality, teacher preparedness, data privacy, and ethical concerns are also discussed. The findings suggest that the proper integration of AI can significantly enhance the efficiency and accessibility of future educational processes.
The Impact of Artificial Intelligence on Modern Education
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References
McCarthy, J. (1955). Programs with common sense. Massachusetts Institute of Technology.
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
UNESCO. (2021). AI and education: Guidance for policy-makers. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org
OECD. (2021). Digital education outlook 2021: Pushing the frontiers with AI, blockchain and robots. OECD Publishing. https://www.oecd.org
Pearson. (2016). Intelligent tutoring systems and adaptive learning report. Pearson Education.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
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.
Campbell, J. P., DeBlois, P. B., & Oblinger, D. G. (2007). Academic analytics: A new tool for a new era. EDUCAUSE Review, 42(4), 40–57.