Smarter, not harder: AI-enhanced assessment design, marking, and feedback
TL;DR
This article explores how GenAI can streamline the entire assessment lifecycle: from designing complex, discipline-specific assessments and creating detailed marking rubrics to automating feedback and using transcription tools like Whisper to deliver rich, personalised responses efficiently.
Abstract
In today’s fast-paced academic environment, Generative AI (GenAI) offers a powerful opportunity for STEM educators to work smarter – not harder. This article explores how GenAI can streamline the entire assessment lifecycle: from designing complex, discipline-specific assessments and creating detailed marking rubrics to automating feedback and using transcription tools like Whisper to deliver rich, personalised responses efficiently. Drawing on hands-on experience developing curriculum and assessments for a Data Scientist Degree Apprenticeship at the University of Nottingham, we’ll discuss examples that show how GenAI can uphold academic rigour while significantly reducing time spent on repetitive, manual tasks. Rather than replacing academic judgment, these tools enhance it—freeing up time to focus on teaching, innovation, and student support.