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AI-Powered Student Assessment in Higher Education: Enhancing Accuracy, Feedback, and Personalization

AI-Powered Student Assessment in Higher Education: Enhancing Accuracy, Feedback, and Personalization

Arun Agrawal (Institute of Technology and Management, Gwalior, India), Angel Ruth Shalom Banerjee (Mangalayatan University, Jabalpur, India), Manoj Kumar Jhariya (Mangalayatan University, Jabalpur, India), Neerja Garg (Mangalayatan University, Jabalpur, India), Iram Hashmi (Mangalayatan University, Jabalpur, India), Vinaydeep Brar (Dr. D.Y. Patil B-School, Pune, India), Deepak Gupta (Institute of Technology and Management, Gwalior, India), and Deepak Kumar Mishra (Institute of Technology and Management, Gwalior, India)
Copyright: © 2026 |Pages: 26
DOI: 10.4018/979-8-3373-2130-1.ch006
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Abstract

AI is transforming student assessment in higher education, offering solutions to limitations of traditional methods. It enables personalized, efficient, and data-driven evaluation through automated grading, adaptive learning platforms, and analytics tools. While case studies show improved outcomes, ethical concerns like bias must be addressed. Responsible AI implementation can enhance assessment practices, promoting educational equity and excellence. Institutions adopting AI should set clear goals, involve stakeholders, and maintain ethical safeguards.
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