Effective interdisciplinary collaboration hinges on four principles: focusing on the problem, understanding how disciplines interact, fostering relationships and recognising power dynamics, writes Ben Kei Daniel
Academic communities have long relied on citations, publication counts, the journal impact factor and the h-index as indicators of scholarly achievement. These metrics capture only part of the story, as Rachel Miles explains
Students often overcomplicate challenging concepts, so educators should break complexities into parts, use real-world examples and introduce uncertainty to simulate industry environments
Why not harness theatre to spark students’ exploration of the ethical dilemmas embedded in AI design, deployment and regulation? Jon Catherwood-Ginn explains how educators can do just that
Students who arrive at university midway through their studies often miss out on vital introductory courses, and the opportunity to discover the career services centre with confidence. Here’s how to remedy that
Students writing in English as a second language bring a practical and targeted approach to research, reading and writing. Xinqiang Li explains how he integrated these lessons into his teaching
In embedding artificial intelligence into curricula without considering how it shapes students’ thinking, relationships and sense of self, educators risk switching one problem for another. Amy Allen and David Hicks offer an approach to help ensure well-being in the age of AI
Moving research into action requires more than publishing evidence. Stories, images, trusted messengers and examples of uptake can build public acceptance, shift what people see as possible and help evidence become practice and policy
Being intentional about collaboration across fields results in a more responsive, open and effective research project. Seyedahmad Rahimi shares advice for ensuring the right people are working together in the right way
