Digital transformation

A new era of AI requires a balance between thoughtfully mitigating and responsibly promoting student use of new tools

AI literacy is no longer a futuristic concept; it’s a critical skill for university students. The ‘deep learn’ framework offers a comprehensive approach to enhancing literacy around artificial intelligence and application in higher education settings

If GenAI tools have ushered in an era in which institutions can no longer assure the integrity of each individual assessment, the sector must focus on assuring the integrity of awards, write Samuel Doherty and Steven Warburton

It’s up to higher education institutions to teach students the digital skills they’ll need for the world of work. Steven Wong outlines the framework his team developed to educate students and staff

Academic, practitioner and policy commentator Mark Thompson shares his concern that UK higher education is drifting from its true north of research, teaching and impact in the wake of complex digital change and the prisoner’s dilemma of whole-sector transformation

Your students are facing a competition against a faster, better and cheaper opponent in 2025’s job market – AI. Ioannis Glinavos offers his advice on prepping them for the fight

Our response to ChatGPT and its successors should be one that encourages open, interdisciplinary discourse and supports research investigating AI from every angle

Generative AI is here to stay – how can higher education respond? Julia Chen poses three fundamental questions to explore a strategic vision for the sector

By assessing data maturity, establishing data governance, creating centralised data teams and adopting a dynamic data reference model, institutions can remain agile in an evolving technological landscape, writes Nick Chaviano

In a series of Campus resources, UK digital adopters explore what has worked (and what has not) as universities go digital and where investment in technology can be most effective