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Artificial intelligence can accelerate discovery in ways humans alone cannot. For Hongliang Xin, the key is pairing AI’s power with ethical safeguards, institutional governance and responsible oversight

Learning communities that are grounded in trust, psychological safety and holistic support give students space to explore and share their talents

Critical thinking does not develop automatically. Using William Perry’s model of cognitive development, Adeola A. Matthew shows how lecturers can help students progress from simplistic, dualistic thinking to more reflective and reasoned judgement

From drug design to climate modelling, artificial intelligence can process data at scales far beyond human capacity. Hongliang Xin argues that the future of research lies in harnessing agentic AI through human-guided discovery

The way GenAI surfaces sources for literature reviews risks exacerbating the citation Matthew effect, writes David Joyner. Here, he offers ways to prevent AI-driven search from blunting the impact of new research

Company-led projects can boost graduate earnings and strengthen institutional partnerships. Here’s how to get them off the ground

AI-augmented research can speed up processes such as literature review and data synthesis. Here, Ali Shiri looks at functionality of three AI agents

Academics might find it hard to see the flaws in their work, but to be a writer is to be edited – embrace it. Laura Portwood-Stacer outlines the importance of developmental editing

Achieve a deeper understanding of human experiences by deploying the creative practices in research. Here’s how

Meaningful student support starts in the classroom, the lab and the everyday relationships that faculty build with learners. Carrie Fearer shares practical strategies – from accessibility to co-creation