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Mrs. R. Aparna is an Assistant Professor in the Department of Computer Science at Nehru Arts and Science College, Coimbatore, Tamil Nadu, India. Her academic interests include machine learning, educational technologies, and data analytics. She actively participates in research and teaching activities.
The chapter delineates a thorough framework that amalgamates data collection, preprocessing, feature extraction, model training, and evaluation within cloud-based environments. It addresses principal applications including automated essay evaluation, plagiarism identification, rubric-based assessment, and instantaneous feedback production. Challenges such as model bias, interpretability, fairness, and data privacy are rigorously examined. Emerging trends include explainable AI, multimodal grading systems, and human-AI joint evaluation are also examined. By automating grading processes, these systems markedly diminish instructor workload, promote uniformity, and augment student learning through prompt feedback.