Digital transformation

By Miranda Prynne , 13 April, 2023

Strategic insight and guidance to assist higher education institutions in leveraging the benefits of digital technology. Find practical advice on using artificial intelligence (AI) in teaching, assessment, research and other university functions as well as broader insights on edtech, hybrid working, virtual reality, cybersecurity, digital literacy and managing campus infrastructure. 

By Laura.Duckett , 31 August, 2026

How a studio-based format transforms online teaching

A student on a Zoom call with other online students
Online teaching works best when teaching, facilitation and technical delivery are treated as complementary professional roles. Read guidance on studio-based delivery
Reading time
5minutes
By Sreethu.Sajeev , 14 August, 2026

Designing the next decade of higher education

Canvas
As AI continually outpaces strategy, institutions need to prioritise a strong technology foundation, purpose-built AI and lifelong learning to succeed in the future
By Sreethu.Sajeev , 14 August, 2026

Building a pedagogy-first teaching framework

Canvas
The University of Birmingham has successfully evolved its approach to digital learning since the pandemic, creating greater consistency in how staff use technology to support teaching
By kiera.obrien , 28 July, 2026

How universities can learn to live with AI

An illustration of a robot in a mortarboard
University policy and students’ practical use of AI are running in different directions. Higher education needs a collaborative approach, focused on human capability, write Doug Specht and Gunter Saunders
Reading time
5minutes
By Laura.Duckett , 17 July, 2026

Five pillars of collaborative online learning

University students working individually at their desks
How to promote interaction, a sense of collective responsibility and reflective practices to prevent students from ‘dividing and conquering’ in group projects
By Eliza.Compton , 15 July, 2026

Navigating students’ AI concerns through improv and theatre techniques

Two female college students discussing something in class
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
Reading time
4minutes
By Laura.Duckett , 9 July, 2026

AI shaming is not AI literacy

University students sitting at a table discussing a project
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
Reading time
5minutes
By kiera.obrien , 26 June, 2026

The case for the omnichannel AI assistant

A student uses her phone while studying
A virtual assistant can make learning seamless, ubiquitous and scalable while addressing common faculty concerns regarding AI integration. Here’s how
Reading time
5minutes
By Eliza.Compton , 26 June, 2026

How agentic AI brings interactivity to STEM learning

Students working on computer simulation
When applied thoughtfully, agentic AI has the potential to turn classrooms into environments where students actively explore complex systems rather than passively absorb information
Reading time
4minutes
By kiera.obrien , 18 June, 2026

‘AI literacy is everyone’s responsibility’

DragonImages/Getty Images
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
Reading time
5minutes
By Eliza.Compton , 12 June, 2026

A framework for ensuring student AI proficiency

Black man working at computer using AI chatbot
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?
Reading time
4minutes
By Eliza.Compton , 1 June, 2026

Faculty must embrace the ‘messy middle’ to guide AI proficiency

Illustration of robot and man on either side of ball of scribble
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
Reading time
4minutes
By Laura.Duckett , 27 May, 2026

Boosting AI literacy across your institution

Two students using a map to navigate a digital world
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
Reading time
4minutes
By Eliza.Compton , 27 May, 2026

Defining and developing students’ critical AI literacy

Magician conjuring magic out of a hat
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
Reading time
4minutes
By Laura.Duckett , 26 May, 2026

Extend reality to make learning more meaningful

Industrial engineer inspecting a residential construction project with a VR app with a virtualisation of the building's interior
To meet the challenges of the modern workplace, students need to encounter environments that simulate professional scenarios during their studies. Read about how to design extended reality activities that boost a range of discipline-specific skills
Reading time
4minutes
By Laura.Duckett , 25 May, 2026

How to choose the right AI tools for teaching

A woman opening a package with a surprised expression on her face
Educators are not always aware of the implications of using the latest shiny AI tool. Laura Milne offers guidance on balancing educational value with institutional priorities
Reading time
4minutes
By Laura.Duckett , 20 May, 2026

Why AI literacy must be discipline specific

Students and a professor in class discussing AI
A one-size-fits-all approach to AI training risks leaving students unprepared for the discipline-specific demands of their future careers. Rose Luckin explores what field-specific AI literacy looks like in practice
Reading time
5minutes
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Digital transformation
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