What is it about?
This paper explores how generative artificial intelligence (GenAI) is reshaping teaching and assessment in higher education, particularly in the biological sciences. Through case studies from a recent workshop, we show how GenAI can rapidly create learning resources, support active learning, and enhance feedback. Key findings include: - GenAI enables quick development of quizzes, rubrics, and lecture summaries, reducing staff workload. - It promotes process-oriented learning by encouraging iteration, reflection, and collaboration. - While GenAI improves engagement and inclusivity, it struggles with tasks requiring deep creativity and contextual accuracy, highlighting the need for AI-resilient assessments.
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Why is it important?
Generative AI is transforming education by challenging traditional written assessments and enabling more authentic, interactive approaches. Our work provides practical strategies for integrating AI responsibly, ensuring it enhances rather than undermines academic integrity. These insights are timely as educators worldwide seek to adapt to AI-driven changes in teaching and assessment.
Perspectives
This was a fascinating workshop to be a part of, and we had a great discussion about the uncertainties of AI and how to address them in higher education. Many thanks to Matt Bawn for pulling all the complex discussions together into a really interesting paper.
Dr Christopher Hassall
University of Leeds
Read the Original
This page is a summary of: Perspectives from a Workshop: Intelligent Assessment in the age of Artificial Intelligence, AJP Advances in Physiology Education, November 2025, American Physiological Society,
DOI: 10.1152/advan.00246.2024.
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