Digital transformation

A flexible, agile approach to AI skills development allows faculty and students to choose the guidance, resources and learning opportunities that best fit their roles and contexts

How to promote interaction, a sense of collective responsibility and reflective practices to prevent students from ‘dividing and conquering’ in group projects

We can’t put AI back in the box. Instead, higher education needs to find a way to make students think despite it

Technical competency is far from the only aspect of preparing students for an AI-driven world. Ethics also deserves attention, writes Jon Catherwood-Ginn. He uses applied theatre to help students cultivate judgement, communication and decision-making skills

Is higher education too focused on tools and algorithms when it comes to personalised education? Perhaps there’s a simpler answer

Criticism of GenAI is necessary but ridiculing those who use it can damage trust, prevent disclosure and impact learning. Educators need better questions, better boundaries and better language. Sara Saravi offers suggestions

As AI continually outpaces strategy, institutions need to prioritise a strong technology foundation, purpose-built AI and lifelong learning to succeed in the future

Co-creating guidelines and policy frameworks with educators and students can help institutions address concerns and hesitation around AI use

Artificial intelligence is offering us an opportunity to give every student in the lecture hall the chance to think ideas through and truly understand. Let’s take it

How to make AI-supported co-creation work while ensuring empathy remains at the heart of the process