Feature article

To encourage AI use that aligns with institutional policies, university governance must prioritise transparency, usability and academic autonomy. Learn how

Careers services go beyond preparing students for immediate graduate positions. They equip students to navigate their professional lives over time, to progress and adapt through change. Gemma Kenyon explains the nuances of delivering employability at scale

Students don’t need help from their educators to keep up with AI. But what we can do is encourage them to question it more. Here’s how

By the time they arrive at university, most students are using AI. So, with the lines between AI use and original work increasingly blurred, academia now needs to teach them how to use the tools critically

Why do institutions invest in peer writing support for students but not for staff? Anne Brubaker makes the case for a more formalised approach to faculty writing support

How student-centred AI literacy programmmes can build confidence, critical thinking and playful learning

As technology shapes the future of healthcare, how can we embed the skills tomorrow’s medical staff will need? Find out how here

Many academics have limited access to structured training in doctoral supervision. Here, Paul Clarkson and Tahrima Hossain offer takeaways from designing a supervisor development programme

To meet the challenges of the modern workplace, students need to encounter environments that simulate professional scenarios during their studies. Read about how to design extended reality activities that boost a range of discipline-specific skills

In the digital era, the identity of the library has become blurred. Here’s how to emphasise its distinctiveness, writes John Cox