AI-Powered Learning Analytics Improving Personalized Education in E-Learning Environments

Abstract

The integration of Artificial Intelligence (AI) in education, especially in e-learning environments, has revolutionized personal learning. Artificial intelligence-driven learning analyses allow real-time analysis of students' data, enabling teachers to customize educational materials to meet the individual needs of the learner. This paper explores the role of artificial intelligence in promoting personalized learning, focusing on adaptive learning systems, intelligent teaching systems (ITS) and data-driven educational strategies. By providing personalized learning pathways, artificial intelligence technologies not only improve student engagement and learning outcomes, but also improve resource allocation. However, there are challenges in the adoption of artificial intelligence in education, such as data privacy concerns, algorithm bias, and resistance from both teachers and students. This paper also considers ethical considerations around the use of artificial intelligence in educational environments and discusses the prospects for future developments in artificial intelligence. Finally, artificial intelligence-driven learning analytics hold great promise to transform education by making it more personal, scalable, and effective.