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Dhananjaya Reddy is an Associate Professor of Mathematics at Government Degree College, Karvetinagaram, Andhra Pradesh. He possesses extensive academic experience in mathematics, statistics, educational assessment, and academic administration. His research interests include quantitative analysis, educational evaluation, and learning analytics. He
This chapter offers a thorough examination of AI-integrated feedback and evaluation systems aimed at fostering continual enhancement in educational results. It stresses how important it is to use artificial intelligence, machine learning, and data-driven methods to change how schools work today. The conversation talks on important frameworks, algorithms, and technological methods that help with better monitoring, prediction, and optimisation of outcomes relating to students. The proposed methods support personalised learning, timely intervention, and smart academic decision-making by using big data sets and smart analytics. To make sure that the implementation is responsible, we carefully look at problems like data quality, scalability, privacy issues, and ethical concerns. The part that new technologies play in making education systems suitable for the future is also spoken about. The chapter shows how intelligent systems can fill in the gaps in traditional education by providing scalable and creative solutions that boost performance, inclusivity, and long-term academic achievement in a variety of learning settings.