Artificial intelligence in education an educational perspective on personalization equity and ethics

Abstract Artificial Intelligence (AI) is transforming educational practices through adaptive learning systems powered by advanced technologies such as Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL). These technologies enable real-time, personalized learning experiences that significantly enhance student engagement and comprehension. By predicting individual progress and recommending tailored learning materials, AI-driven platforms ensure a more efficient and holistic educational journey. Furthermore, they foster the development of critical thinking and practical skills, bridging the gap between theoretical understanding and real-world application. As these tools continue to evolve, they are not only improving personalization, interactivity, and effectiveness in education but also prompting important discussions on ethical considerations, promoting responsible and equitable learning environments.