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 , 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 Sreethu.Sajeev , 3 July, 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 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
By Sreethu.Sajeev , 19 May, 2026

Redesigning communications across the student journey

Granicus
In the face of declining trust and growing competition, universities that coordinate communications through a unified digital engagement strategy are better positioned to rebuild reputation, influence perception and gain a competitive edge
By Laura.Duckett , 15 May, 2026

Safeguards against GenAI hallucination in literature reviews

A female professor at her laptop in the library
Generative AI can speed up literature reviews, but it can also produce convincing false references. Learn practical strategies to help researchers use AI tools while keeping their work anchored in real, verifiable research
By Laura.Duckett , 12 May, 2026

Why AI literacy belongs in the first-year experience

A group of first-year students
Embedding AI literacy early ensures every student gains essential understanding of systems, ethics and responsible use, closing gaps left by optional or uneven provision. Learn how
Reading time
4minutes
By Laura.Duckett , 7 May, 2026

What does AI literacy in healthcare look like?

A pharmaceutical machine inspector at work in science laboratory
Done well, AI literacy helps students remain safe, critical, communicative and accountable in environments where digital systems are becoming more visible, writes Andrew Barker. Here, he outlines strategies to embed it in healthcare education
Reading time
4minutes
By Eliza.Compton , 27 April, 2026

How should universities define AI proficiency?

Man with laptop in a data centre
AI literacy is increasingly seen as fundamental knowledge for students. How can educators set the parameters that ensure proficient use of artificial intelligence across the institution, regardless of discipline? Junghwan Kim offers advice
Reading time
4minutes
By Laura.Duckett , 27 April, 2026

When pedagogy meets extended reality: a quick guide

iStock/sasirin pamai
How to design extended reality experiences with clear pedagogical intent, immersing students in worlds that develop decision-making skills, deepen learning and prepare them for the workplace
Reading time
4minutes
By Eliza.Compton , 24 April, 2026

‘AI should support student services, not impersonate them’

Woman talking into smartphone, AI as student support
Are universities ready for GenAI in student support? When chatbots seem to offer a scalable, cost-effective way to meet rising demand for student support, universities need to consider how to shape their use without outsourcing care or increasing risk
By Laura.Duckett , 23 April, 2026

Students are asking for AI guidance, not just policy

A female student on her laptop smiling to camera
The defining educational challenge of this decade is to equip students to use AI ethically, critically and efficiently, write Mahmoud Elkhodr and Ergun Gide. Here, they offer a way forward
Reading time
4minutes
By Eliza.Compton , 20 April, 2026

Why digital stability has become a governance imperative

Young black man working at a computer terminal
Technological resilience is not just a systems problem when failure can impact operations, academic credibility, public trust and equitable education. Here, Fulufhelo Nemavhola expands the considerations for universities
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