The Role of AI in Automating Grading: Enhancing Feedback and Efficiency
Johnbenetic Gnanaprakasam, Ravi Lourdusamy
Abstract
This chapter discusses the different ways in which artificial intelligence (AI) can be used to automate the grading process within the educational systems. The first part gives the background of how we got here, how grading practices have historically changed, and then how AI has progressed in integrating with these systems. The real emphasis is the potential use of AI to reduce the grading backlog (through instant feedback, learning incentives, scalability, and important notes) and more effective large and diverse student/learner management. Furthermore, it also delves into the use of AI on the subjective and creative aspects, quite a new realm of grading from the traditional ways. The chapter also provides a critical discussion about challenges associated with AI in grading (such as potential biases, fairness, and ethics), making an emphasis on the necessity to tailor such challenges in order to efficiently and responsibly deploy AI for educational purposes. Finally, it concludes with a reflection on what the next generation of AI-powered educational assessment experiences could look like and what the potential implications for educators and students may be.