Abstract
This paper delves into the pivotal role of Artificial Intelligence (AI) in enhancing personalized learning for university students. It begins by highlighting the challenges faced by students in resource acquisition, learning method adaptability, and motivation, and then discusses how AI can address these issues through customized resources and adaptive learning environments. The paper further explores the application of AI in course design, intelligent tutoring, learning analytics, and collaborative learning platforms, showcasing the technology s potential to improve learning efficiency and outcomes. It also examines the future trends and challenges in the popularization of personalized learning, emphasizing the need for ethical considerations and data security. The paper concludes by suggesting that future research should focus on the long-term impact of AI in education and the importance of ensuring equitable access to its benefits for all students.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
