Modern developments in AI and machine learning have the possible ways to improve both the learning experiences for students and the capacity of educators. Essays with automatic, making personalized student recommendations, and improving instructional resources are all examples of AI approaches in education. In an informal sense, there are three types of AI programmes that aim to improve education: direction, knowledge, and teacher. These broad groups are not equally exclusive, but they do assistance as a basis for further classification and growth. In order to healthier direct imminent research and development of AI applications in education, this study will examine and classify previous AI efforts to improve education. Given that the foundation of the contemporary economy in higher education, the potential advantages of AI-powered education are notable. By automating formerly manual processes, AI can lessen information gaps and save time. This study aims to offers an artificial intelligence (AI) in education by reviewing its historical applications in the hope of better understanding the area and paving the way for its further growth and structure for administration and future advancement. In order to improved direct future research and growth of AI applications in education, this study will examine and classify earlier AI efforts to enhance education. This paper offer a classification system for artificial intelligence (AI) in education by reviewing its historical applications in the hope of bettering our knowledge of the area and paving the way for its further advancement.

Artificial Intelligence, Higher Education, data driven policies, ChatGPT, ITS, ASP, ASE, PP