University assessment and quality assurance

Strategies to improve university assessment for students and educators. Here, academics offer guidance on assessment design, covering formative, summative and diagnostic approaches, authentic assessment and how to give useful feedback. You will also find advice on exam preparation, ungrading, managing GenAI, preventing cheating and upholding academic integrity.

By Eliza.Compton, 13 May, 2024
The ability to use generative AI is akin to time management or other learning skills that students need practice to master. Here, Vincent Spezzo and Ilya Gokhman offer tips to make sure instructions land equally no matter students’ level of AI experience
Reading time
5minutes
By Laura.Duckett, 30 April, 2024
If GenAI tools have ushered in an era in which institutions can no longer assure the integrity of each individual assessment, the sector must focus on assuring the integrity of awards, write Samuel Doherty and Steven Warburton
Reading time
5minutes
By kiera.obrien, 30 April, 2024
In this extract from their new book, ‘Teaching with AI: A Practical Guide to a New Era of Human Learning’, José Antonio Bowen and C. Edward Watson discuss the reliability of AI detection tools and how to combat cheating without them
Reading time
4minutes
By Eliza.Compton, 23 April, 2024
With large language models to provide reports and analysis, educators can make use of generative AI to improve the process of student evaluations, writes Adnan Ajšić