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Dr. Ashwani Gupta is associated with the Department of Computer Science and Information Technology at MJP Rohilkhand University, Bareilly, India. His research interests include natural language processing, deep learning, intelligent grading systems, and AI-driven educational technologies. He has published scholarly articles in reputed journals.
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.