Experiential learning projects that push students outside their disciplinary comfort zones can prompt real-world change. Learn why co-creation, interdisciplinarity and real-world relevance are key
When applied thoughtfully, agentic AI has the potential to turn classrooms into environments where students actively explore complex systems rather than passively absorb information
Small-group discussions and one-to-ones can expand students’ capacity to act, think and communicate, writes Alastair Bonnett. Here, he offers a model for shifting university teaching from macro to micro
While making chemistry more sustainable is paramount, tiny changes to lab materials and conditions can have significant effects. Can AI’s data-crunching abilities help?
Europe has built an admirable research support system but there is one crucial stage that is overlooked – the early formation of researchers, writes Adam Kola. He offers examples from his own institution on how to address this
With school attainment a key driver of progression to university, outreach must go beyond traditional interventions to widen access. Matthew Lucas offers five evidence-led ways to design educationally robust programmes
Educators might treat AI as an integrity problem, but employers don’t. They need graduates who can decide when to trust the machine – and when not to. And that’s why you should design assessment that forces students to argue against AI
