AI-Powered Assessment and Feedback

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Authors: Nihal Kapoor, A. J. Singh, Sandeep Kulshreshtha, Lalit Mohan Sharma
Cited by: 0
References: 30

Abstract

The integration of Artificial Intelligence (AI) in education has transformed assessment and feedback mechanisms, significantly enhancing learning outcomes in the digital era. AI- powered assessment tools provide personalized learning experiences, enabling educators to identify student strengths and weaknesses with greater accuracy. This chapter explores the role of AI in formative and summative assessments, highlighting its potential to improve efficiency, reduce biases, and foster student engagement. While AI-driven feedback enhances learning by providing timely and data-driven insights, challenges such as data privacy, algorithmic transparency, and the need for human oversight remain critical considerations. The chapter examines best practices for integrating AI in education to ensure ethical use and equitable access. By leveraging AI-powered assessment systems, educational institutions can create more inclusive and effective learning environments, ultimately improving academic performance and skill development.

Fields of Study & Subjects

Artificial Intelligence in Education Intelligent Tutoring Systems and Adaptive Learning Educational Technology and Pedagogy

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
267–294
Publication date
5 February 2026
Document type
Book chapter