A Practical Approach to Integrating Generative AI within Higher Education
Generative AI technologies are reshaping higher education, transforming how students access knowledge, engage with learning, and complete assignments. While institutional responses have largely focused on academic integrity and assessment security, this paper argues for a proactive, programme-level approach that embeds generative AI thoughtfully and ethically across the student learning journey, drawing on examples from the mathematical sciences.
Mathematics Checklist for AI Usage in Assessment – 6 September 2025 (A useful checklist that might form part of the guidance given to students in relation to a particular assessment or assignment. It aligns with Section 2.3 of the JMC article and effectively gives a multi-level model where staff pick and choice what is/is not appropriate.)
Michael Grove, Professor of Mathematics and Mathematics Education, Deputy Pro-Vice Chancellor (Education Policy & Academic Standards), The University of Birmingham, UK