AI-Powered Customized Learning Paths: Transforming Data Administration For Students On Digital Platforms

Abstract

More than ever, effective information management and customized learning opportunities are needed for college students. This is because online education is being preferred by some people and thus choosing it. This article concentrates on AI-based personalized learning paths that the internet platforms are evolving of lately. Educational institutions can leverage AI algorithms and data analytics to find the unique learning characteristics of the student and design his/her educational route in a manner that will be most suitable for his/her learning style, academic achievements and memorization capabilities. AI-driven personalized learning concept is discussed in detail and the outline includes assignments, quizzes and peer assessed tests. Besides, paper argues on potential problems and ethical problems related to bias and data privacy. The main concern of this study is that personalized study paths lead to both the improvement of students' results in academic subjects, and also to the development of important skills of them for a digital era, by investigating this transformative power of AI in detail.