Artificial Intelligence in Educational Environments: A Comprehensive Review of Trends and Applications

This study explored the integration of Artificial Intelligence (AI) in education, focusing on its profound impact on teaching methodologies, learning outcomes, and educational management. The research aimed to analyze both the benefits and challenges associated with AI in diverse educational settings. A comprehensive literature review was conducted, examining various AI applications such as machine learning, deep learning, adaptive learning, virtual teaching, and augmented reality. The analysis revealed that AI significantly enhances personalized learning experiences, facilitates efficient teaching practices, and supports various administrative functions within educational institutions. Moreover, AI can provide valuable insights through data analytics, enabling educators to tailor their approaches to meet individual student needs effectively. However, the study also identified potential drawbacks, including technology addiction, diminished social interaction among students, and concerns regarding data privacy. The findings suggest that while AI holds great promise for revolutionizing education and fostering innovative learning environments, careful consideration of its ethical and social implications is essential. This approach will help maximize its benefits while mitigating its limitations, ensuring that AI serves as a tool for enhancing educational equity and engagement rather than exacerbating existing challenges.

Keywords:

Artificial Intelligence in Education , Machine Learning in Education , Deep Learning in Education , Personalized Learning Systems , Adaptive Learning Technologies