Feature article

With higher education navigating rapid technological change, the key to embedding AI literacy in the workforce of tomorrow could be a focus on collaboration over competition

When educators share the design and implementation of course material and assessment rubrics, they give students a stake in their own and their peers’ learning

Comments such as ‘This is a good essay’ might reassure but won’t help a writer improve. Here’s how to show students what strong and weak peer feedback looks like

Flexible pathways and modular curricula will only fit into students’ real lives if courses are intentionally designed, co-created and evidence-informed, writes Harriet Dunbar-Morris. Here she shares a leadership toolkit for lifelong learning reform

Rather than react with fear to GenAI and attempt to ban it, let’s rethink traditional pedagogy instead, for more meaningful learning

It takes an intersectional approach, empathy and willingness to listen to cultivate affirming environments for marginalised groups, says Mazal Oaknín

Students working towards creative careers have mixed feelings about AI and its potential effects on their job prospects. So education must consider the best practice in the application of tools but also teach students design fundamentals

Instead of trying to detect students using AI for their work, we need to think differently. Here’s where to start

To become proficient in GenAI, educators must move beyond one-off interactions to create workflows that increase efficiency and deepen learning. Learn how

If the UK higher education sector wants its transnational education partnerships to be socially responsible, academically rigorous and politically resilient, universities must prioritise co-creation and cultural literacy, writes Valentina Cardo