Digital transformation

A simple strategy to help your students question AI tools from a familiar starting point

We find out how one US institution has led the way in embedding AI across all its majors and what has been learned in the process

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

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

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

AI literacy goes far beyond basic prompt writing. Learn strategies for building understanding of how AI tools work, how to use them effectively to support teaching, learning and research, where their limitations lie and the ethical implications surrounding their use

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

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