DOI:
https://doi.org/10.71337/inlibrary.uz.science-research.139491Keywords:
Artificial Intelligence Education Technology Personalized Learning Teaching Processes Adaptive Learning Ethical Considerations.Abstract
The integration of artificial intelligence (AI) in teaching processes offers both significant opportunities and notable challenges. AI tools, including intelligent tutoring systems, adaptive learning platforms, and automated assessment technologies, can enhance personalized instruction, student engagement, and educational outcomes. They provide data-driven insights that enable teachers to monitor progress, identify learning gaps, and implement timely interventions. However, AI implementation also presents limitations, such as algorithmic bias, data privacy concerns, limited infrastructure, and the need for teacher training. This study examines the potential advantages and constraints of AI in teaching, highlighting strategies for responsible, effective, and inclusive integration into educational settings.References
Nasimov, R. H., & Muminova, M. N. (2025). Methods and algorithms for using artificial intelligence in the educational process. Digital Transformation and Artificial Intelligence, 3(1), 257–263. Retrieved from
Sabirova, D. A. (2024). Use of artificial intelligence in digital education systems. Digital Transformation and Artificial Intelligence, 2(3), 24–28.
Iskhakov, X. M. (2024). Positive and negative aspects of artificial intelligence in education. Educational Research in Universal Sciences, 3(3 SPECIAL), 87–90.
Murtozaqulova, N. (2025). Integration of artificial intelligence technologies in education and their potential. Herald of Kokand University, 16, pages not specified.
Tajetdinova, G. (2025). Managing the use of artificial intelligence in higher education: Experiences from foreign countries. Green Economy and Development, 3(2), pages not specified.
Yang, J., & Zhang, B. (2019). Artificial intelligence in intelligent tutoring robots: A systematic review and design guidelines. International Journal of Educational Robotics, 7(2), 45–78.
Lin, C.-C., Huang, A. Y. Q., & Lu, O. H. T. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: A systematic review. Smart Learning Environments, 10, 41.
