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Arunapriyadharshini S. is an Assistant Professor in the Department of Computer Science and Engineering at Sathyabama Institute of Science and Technology, Chennai. Her research interests include artificial intelligence, machine learning, deep learning, and educational technologies. She actively contributes to academic research and innovative teaching practices. Her work focuses on AI-driven solutions for assessment and learning systems.
This chapter provides a thorough examination of a deep learning-based automated answer sheet evaluation system aimed at optimising both objective and subjective assessments. It stresses the need to use artificial intelligence, machine learning, and data-driven methods together to change how schools work today. The chapter also talks about how real-time analytics, adaptive systems, and predictive modelling can be used in real life to make teaching more successful and keep students interested. To make sure that the implementation is responsible, we carefully look at problems like data quality, scalability, privacy issues, and ethical concerns. There is also talk about how new technology may affect education systems that are equipped for the future. In general, this chapter shows how intelligent systems can fill in the holes in traditional education by providing scalable and creative solutions that boost performance, inclusivity, and long-term academic achievement in a variety of learning settings.