The use of artificial intelligence (AI) in education is a rapidly growing field, with the potential to revolutionize the way we teach and learn. The use of AI can enhance student engagement, personalized learning and assessment. This study reviews the current literature on AI in education and provides examples of AI-based educational applications. The research shows that AI can be used to improve student engagement, personalized learning, and assessment. One way it can be used is through the use of chatbots, which can provide personalized feedback to students on their work and help them to identify areas of difficulty. Another way is through the use of intelligent tutoring systems, which can adapt to a student’s individual learning needs and provide personalized instruction. Additionally, AI can be used to analyze large amounts of student data to identify patterns and provide insights into student learning. The research also suggests that AI can be used to improve teacher effectiveness by providing them with data-driven insights into student performance and helping them to identify areas of difficulty. The use of AI in education also has the potential to bridge the digital divide, providing access to education for students who may not otherwise have access to it. However, the research also highlights the potential challenges and ethical considerations associated with the use of AI in education. These include issues related to data privacy, bias, and the potential for job displacement. Therefore, it is important to ensure that AI is implemented in a responsible and ethical manner, and that it is used to enhance, rather than replace, human interactions in the classroom. The study indicates that AI has the potential to improve student learning and teacher effectiveness in education. However, it is crucial to be mindful of the potential difficulties and ethical concerns that come with using AI in education and to make sure it is implemented responsibly.