Strategic insight and guidance to assist higher education institutions in leveraging the benefits of technology – from artificial intelligence to campus infrastructure
Strategic insight and guidance to assist higher education institutions in leveraging the benefits of technology – from artificial intelligence to campus infrastructure
When developing rules and guidelines around the uses of artificial intelligence, the first question to ask is whether the university policymakers and staff responsible for implementing them truly understand how learners can meet the expectations they set
Practical strategies – from clear communication and visual resources to community building and inclusive pedagogy – to help educators foster participation and motivation in digital learning
A competition tasking first-years with making explainer videos is boosting engagement, deepening understanding and giving students valuable hands-on AI experience. See how
Trust and leadership style are emerging as key aspects of teambuilding in the age of AI. Here are ways to integrate these considerations with technology in teaching
How can librarians support students in developing information literacy skills and putting them to use in an AI-enabled world? Follow each step of researching and writing a term paper and find out how to encourage students to use their skills effectively along the way
A set of practical strategies for transforming passive online student participation into visible, measurable and purposeful engagement through the use of Miro, enhanced by GenAI
Successful AI adoption in higher education relies less on the number of tools used and more on how well integrated they are, says Stephan Fortier, regional vice-president for the UK and Europe at Instructure
Employers seek transferable skills such as communication and cultural awareness, but how can universities translate these aspirations into meaningful, scalable learning experiences for students? AI personas offer possibilities
As artificial intelligence reshapes teaching and research, one legal principle remains at the heart of our work: copyright. Understanding its implications isn’t just about compliance – it’s about protecting academic integrity, intellectual property and the future of knowledge creation. Cayce Myers explains
Universities must bridge the gap between calls for GenAI transparency and workable standards. A new taxonomy offers a practical system to declare AI’s role in research openly and responsibly
