Working with industry can increase research impact, but many academics worry about protecting quality and rigour. Here, Firdous Nazir shares practical lessons on how to collaborate effectively on applied research without compromising academic standards
The best way for students to learn is by doing. But now GenAI is a non-negotiable in university teaching, what does that mean? Renia Lopez-Ozieblo explores
Learning designers and academics may have different expectations when it comes to collaborating on course design. Here’s how a five-point scale can help
Steady momentum and a clear narrative that links your work across research, teaching and leadership can help others see the direction and impact of your career, say Karen Lander and Joseph L. Brooks
How a design thinking approach can support agile, innovative new course development
What does accessibility mean in principle, and how does it actually look in practice? Find guidance here on engaging students in learning, dealing with sensory issues and how to be flexible with assessment
Reframing productivity and defending your diary can transform academic output. Here are tips for protecting your writing time
GenAI tools are getting better at tasks such as sorting data, writing basic reports and generating simple code. That’s why higher education needs to focus on what it can’t do
Students often develop valuable transferable skills during their studies but struggle to recognise and articulate them to employers. Here’s how academics can work with careers professionals to support
Securing success in global research initiatives demands shifting research integrity from a bureaucratic checklist to a cultural measure of trust and transparency
A technique to help universities improve collaboration, reduce inefficiencies and build shared understanding across teams to support more effective working – and a framework for successful implementation
Professors can gain immediate, practical benefits if they listen to early career researchers, through inter-generational exchanges such as reverse mentoring. Here, Ian Williams offers five capabilities that ECRs can offer more seasoned scholars
The foundation of widening participation lies in a curriculum that is flexible enough to accommodate increasing student diversity while aligning with industry needs, writes James Williams
As generative AI becomes a routine tool in academic writing, a persistent belief continues to circulate: that AI-generated text can be made “safe” through paraphrasing or human rewriting. Change the wording, adjust the structure — and detection will fail.
In the digital age, trust in educational technology is built not only on analytical performance, but on the responsible handling of data. Universities and schools work with highly sensitive information: academic work, assessment materials, and personal data of students and staff. Protecting this information is fundamental to the credibility of academic processes.