Abstract
The potential of artificial intelligence (AI) applications in education to revolutionize teaching and learning has attracted a lot of interest in recent years. This research paper presents an in-depth review of the many AI uses in education, such as virtual reality simulations, automated grading systems, intelligent tutoring systems, and personalized learning platforms. This article explores the potential that AI technologies offer to improve educational practices, including individualized instruction, better learning outcomes, and increased student engagement. It does this by drawing on current literature and empirical data. It also discusses the challenges and ethical encounters that come with incorporating AI into the classroom, like algorithmic bias, data privacy issues, and the digital divide. This paper delves deeper into a several possibilities for future research and development in artificial intelligence (AI) applications in education, highlighting the significance of interdisciplinary collaboration, building robust frameworks for assessment, and promoting equity and inclusivity in AI-powered learning environments.
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