Integrating Artificial Intelligence (AI) has proven to be a transformative force in monitoring and analyzing educational processes in the rapidly evolving educational landscape. AI technologies offer novel methods for analyzing student data, identifying learning patterns, and providing real-time, personalized feedback. This article investigates how AI can be employed in educational settings to enhance the analysis and monitoring of student performance and its impact on teaching strategies. In addition, the ethical and operational challenges surrounding the use of AI in education are explored, providing a comprehensive view of its advantages and limitations. The results show that AI-based systems improve learning outcomes, promote personalized education, and offer valuable insights into the learning process. However, challenges such as data privacy, algorithmic bias, and equity must be addressed to ensure the responsible implementation of AI in educational environments.

Artificial intelligence, education, Coursera, personalized learning, edtech, dreambox

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