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Zakiuddin Mohammed is an Assistant Professor in the Department of Languages and Translation at Northern Border University, Saudi Arabia. His research interests include language education, translation studies, educational technologies, and digital learning environments. He has contributed to interdisciplinary research integrating technology and education. His academic work promotes innovative approaches to teaching and assessment.
This chapter thoroughly examines an AI-driven auto-grading system designed for the effective and transparent assessment of student learning results. It stresses the use of artificial intelligence, machine learning, and data-driven methods 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.