ARTIFICIAL INTELLIGENCE IN MODERN EDUCATION: OPPORTUNITIES AND ETHICAL CHALLENGES
DOI:
https://doi.org/10.55640/Keywords:
Artificial intelligence, adaptive learning, educational technology, data ethics, personalized education, automation, machine learning.Abstract
This paper explores the transformative role of Artificial Intelligence (AI) in modern education, focusing on its opportunities, applications, and ethical challenges. As machine learning, natural language processing, and adaptive systems increasingly shape teaching and learning processes, AI has become a catalyst for educational innovation. The article examines theoretical foundations, pedagogical implications, and the ethical dimensions of AI integration, such as data privacy, bias, and teacher autonomy. Empirical evidence from global initiatives demonstrates AI’s capacity to personalize learning, automate assessments, and enhance decision-making in educational administration. The study concludes by proposing policy recommendations for responsible and equitable AI adoption in education.
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References
1.Baker, R. S., & Inventado, P. S. (2018). Educational Data Mining and Learning Analytics. Springer.
2.UNESCO. (2024). Policy Guidelines for AI in Education. Paris: UNESCO Publishing.
3.World Economic Forum. (2024). Future of Artificial Intelligence in Education Report.
4.Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson.
5.Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
6.Brynjolfsson, E., & McAfee, A. (2020). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. Norton
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Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.
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