Many concerns about the impact of artificial intelligence on academic integrity and authorship have focused on controlling the tool rather than reconsidering the task, writes Nicole Brownlie. Here, she offers a shift to assess process, not just answers
While all students have to grapple with new terminology, those speaking in an additional language have an extra hurdle to understanding. Find out how to tweak your teaching to better support them
If business schools want to produce socially responsible graduates, they must centre lived experience of social disadvantage in their teaching and learning, say Kathy Walsh and Mihajla Gavin
Doctoral supervision involves helping students read the changing nature of the game, providing practice nets and empowering them to build the versatility needed for a sustained research career, writes Aastha Malhotra
When educators have to police how students use AI, and gatekeeping adds to the workload and emotional toll, teaching loses its joy, write Meena Jha and Amara Atif. Here are ways to reclaim the role of educator
Are universities ready for GenAI in student support? When chatbots seem to offer a scalable, cost-effective way to meet rising demand for student support, universities need to consider how to shape their use without outsourcing care or increasing risk
The defining educational challenge of this decade is to equip students to use AI ethically, critically and efficiently, write Mahmoud Elkhodr and Ergun Gide. Here, they offer a way forward
How a structured GenAI professional development series, built around practice, peer voices and multiple entry points, fosters open exchange among colleagues, universities and industry
