Automated Assessment and Feedback in Higher Education Using Generative AI

Abstract

This chapter explores the integration of generative AI in higher education assessment, addressing the inadequacies of traditional methods in meeting the diverse needs of contemporary learners. It highlights the potential of AI technologies, such as natural language processing and computer vision, to offer personalized, scalable, and insightful evaluations. The chapter critically examines both the enhanced capabilities introduced by AI in educational settings and the ethical challenges it poses. Emphasizing the need for a balanced approach, it suggests synergizing AI's analytical strengths with human expertise to ensure equitable and effective assessments. This work aims to guide educators, administrators, and policymakers through the complexities of AI adoption in academic evaluation, focusing on maintaining academic integrity and inclusivity while leveraging the transformative potential of AI in education.