Digital transformation

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

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

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

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

The question is no longer whether students will use AI after graduation but to what extent. So, how can universities best ensure that students are workforce-ready?

How do we use GenAI without letting it use us? By mastering the tool, and helping students do so too, its much-feared effects on the humanities cannot come to pass, writes Stuart Christie

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