E. C Punitha, M. Gnana Kamali
Artificial Intelligence (AI) is revolutionizing education and higher learning by enhancing personalized learning, automating administrative tasks, and providing data-driven insights to improve student outcomes. Best practices in AI integration include adaptive learning platforms, intelligent tutoring systems, automated grading, and AI-driven student support services. Ethical considerations such as data privacy, bias mitigation, and equitable access are crucial in implementing AI in education.This paper explores key AI applications in education, including machine learning models for personalized instruction, natural language processing (NLP) for automated feedback, and AI-powered virtual assistants for stunt engagement. Additionally, it highlights key resources, including AI-based Learning Management Systems (LMS), , and AI ethics guidelines. The study provides recommendations for educators, institutions, and policymakers to leverage AI effectively while ensuring ethical implementation and maximizing educational outcomes.
AI- Artificial Intelligence, Learning Management Systems (LMS), Natural Language Processing (NLP) Open Educational Resources (OERs)