Artificial intelligence in higher education

What role should artificial intelligence play in higher education? From ChatGPT to DeepSeek, generative AI (GenAI) tools of all kinds are forcing a rethink of university teaching, assessment, research and administrative work. Find out how to build AI literacy across an institution, use GenAI to support learning, harness AI tools as teaching and research assistants and manage the risks posed by GenAI and other AI technologies.

By Laura.Duckett , 11 November, 2026

A programme-wide approach to AI literacy

A female student working on one of several screens that surround her desk

How to help students develop the judgement to use AI tools ethically and appropriately, critically evaluate their outputs and demonstrate their own contributions

Reading time

5minutes

By kiera.obrien , 11 November, 2026

What should engineering education look like in the age of AI?

Engineering students have more information at their fingertips than ever, but preparing them for working life means giving them opportunities to make decisions, solve real problems and get things wrong. Find out four ways to do so

Reading time

6minutes

By kiera.obrien , 9 November, 2026

AI marking assistants: the future of assessment or not fit for purpose?

Agentic AI can make marking more efficient – but what are we losing in the process? Find out why human judgement is still key

Reading time

5minutes

By kiera.obrien , 4 November, 2026

The coordinates that reorient learning in an AI-enabled world

An illustration of a student navigating a computer motherboard with a map

AI has reshaped how knowledge is produced and assessed, so educators need to reconsider where teaching can add value. Here’s how curriculum reform works on a new map

Reading time

6minutes

By Eliza.Compton , 4 November, 2026

‘Universities must manufacture the work experience AI is deleting’

Telling students to become more AI literate does little good if the labour market offers them fewer entry-level roles where they can develop professional judgement. Gleb Tsipursky offers a strategy to fill the gap

Reading time

4minutes

By Laura.Duckett , 30 October, 2026

The difference between AI-proof and AI-authentic engineering education

An engineering student fixing a machine in class

If engineering students are turning to AI first, educators need to think carefully about how to make classroom learning valuable. A simple four-stage approach can help, writes Salman Shahid

Reading time

4minutes

By kiera.obrien , 30 October, 2026

Police a losing battle or teach students to think clearly? The choice is ours

A small human with a sword and a shield attempts to fight a giant robot

Instead of trying to detect and ban AI, let’s teach students to interrogate it. Find five ways to embed critical AI literacy

Reading time

4minutes

By kiera.obrien , 26 October, 2026

Why face-to-face lectures need to be interactive – and how to do it

A student raises a hand in a lecture hall

In the YouTube era, are lectures still an efficient use of classroom time? Achim I. Czerny argues they are – with a crucial twist

Reading time

4minutes

By Eliza.Compton , 19 October, 2026

Help undergraduates sustain critical AI use under deadline pressure

Asian students doing pair work in a lecture hall

When assignments are due, students might be tempted to skip checks and reflection when they turn to AI tools for support. Here’s a five-stage framework to deter shortcuts

Reading time

4minutes

By kiera.obrien , 16 October, 2026

Bring agility to a slow-moving curriculum with intersessions

A teacher advises students on their work

Short, intensive learning periods can give educators room to experiment, as technology and workplace demands move faster than traditional curriculum cycles. Here’s how it works

Reading time

6minutes

Artificial intelligence in higher education