International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Artificial Intelligence in Education: Positive and Negative Impacts, and Practical Limitations

Author(s) Ms. Esma Kocabıyık
Country Turkey
Abstract This study explores the dual nature of artificial intelligence (AI) in education, focusing on its positive and negative impacts as well as the practical limitations that shape its implementation. Through a systematic document analysis of national and international studies published between 2010 and 2025, the research identifies major themes related to the integration of AI in teaching, learning, and administration. The findings indicate that AI technologies enhance instructional efficiency, enable personalized learning experiences, and support data-driven decision-making processes. However, ethical and social challenges—such as algorithmic bias, data privacy issues, and unequal access to AI resources—pose significant concerns that require proactive governance and pedagogical preparedness. The study concludes that while the positive effects of AI outweigh its negative implications, the sustainability of AI in education depends on comprehensive teacher training, transparent data management, equitable access to digital tools, and continuous monitoring of AI-driven systems. These findings underscore the importance of designing ethical, inclusive, and human-centered AI frameworks for the future of education.
Keywords Artificial Intelligence, Artificial Intelligence in Education, Positive Impact of Artificial Intelligence on Education, Negative Impact of Artificial Intelligence on Education, Practical Limitations
Field Sociology > Education
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-11-09
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.60011
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E-ISSN 2582-2160
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