Bridging Theory And Practice: Ai Applications In Learning And Teaching

Abstract

This study explores the impact of artificial intelligence on virtual learning in educational settings. It examines the features and complexities of AI tools integrated with established technologies, such as virtual learning management systems. The review identifies major AI technologies used in teaching and learning processes and addresses ethical discussions and challenges associated with their implementation. Artificial intelligence is implemented in education by detailing possible benefits and challenges regarding the application of artificial intelligence in learning. It examines issues of ethical nature and the nature of the integrating process through which AI should be implemented to foster learning and teaching. Artificial intelligence is slowly and gradually entering the system of education, making it easier for students to relate theory and practice in their learning and teaching processes. The various implications of artificial intelligence in the learning environment as a customization tool, an assistant in boring tasks, and a tool that can improve teachers' and students’ communication. Artificial intelligence integration also promotes such effective delivery strategies as the use of augmented and virtual realities in the teaching and learning processes, which have the potential to transform the way the students learn and comprehend difficult concepts. The findings aim to inform and enhance the effective use of AI in education, identifying both potential benefits and barriers to its development in educational settings. The study highlights the transformational impact of AI on education. It also explores the importance of ethical considerations to guide its successful adoption and recommends quality teaching and learning strategies by effectively using Artificial Intelligence.