AI in Education: Transforming Learning Experiences through Intelligent Systems

Prof. Kim Yanng

Abstract


This paper investigates the application of artificial intelligence in educational environments, emphasizing its potential to personalize learning experiences and improve student engagement. Through the integration of AI-driven tools such as intelligent tutoring systems, adaptive learning platforms, and predictive analytics, educators can tailor instruction to meet individual student needs and learning styles. The study presents empirical evidence from various educational institutions that have successfully implemented AI technologies, showcasing improvements in student performance and retention rates. Additionally, the paper discusses the ethical implications of AI in education, including issues of equity, accessibility, and the role of teachers in an AI-enhanced classroom.

 

 

 


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