Feature article

Data alone will not ensure effective student support. From careers to well-being and disability services, using it successfully requires collaboration between academic and professional services, training and shared accountability, writes Aleata Alstad-Calkins

Students and academics are on different planets in terms of AI use, creating a culture of distrust and secrecy. Dina Kamel offers three ways to close the gap

By combining a comprehensive style guide with practical workshops and continuous feedback, among other strategies, universities can ensure English communications are clear, professional and consistent

The primary source of institutional AI proficiency must be universities themselves, not the technology companies who offer training for their platforms. Without that agency, we risk surrendering educational practice to commercial interests, write Amy Allen and David Hicks

Publishing educators are ideally placed to encourage students to see through the GenAI hype and recognise the value of human creativity. Explore and reflect on the tools with these tips

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

Practical advice for universities and departments that want to begin including public work meaningfully in hiring, tenure and promotion standards

As online taught postgraduate provision expands, programme teams need practical ways to support student well-being at a distance. Julien le Jeune d’Allegeershecque shares five ways educators can make a measurable difference

Students care deeply about climate change – here’s how to design teaching to prevent them feeling powerless as a result

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