Adaptive learning with ai: analysis of existing solutions and development prospects

Abstract

In the context of rapid technological development, adaptive learning systems are becoming important innovations that can transform the educational process through personalization and interactivity. This article analyzes existing solutions in the field of adaptive learning using artificial intelligence (AI) and discusses the prospects for their further development. Key technologies such as natural language processing, machine learning and recommendation systems that allow content to be adapted to the individual needs of students are being explored. The advantages of such systems in increasing student engagement, academic performance and motivation, as well as their limitations related to ethical aspects and technical barriers, are shown. Based on the analysis of modern research, directions for improving adaptive systems are proposed, including improving scalability, developing inclusive solutions and ensuring data security. The article focuses on the importance of an interdisciplinary approach in the development of educational technologies to create an inclusive and effective learning experience.