GrimmGPT? Use AI to rewrite fairy tales – and get your students thinking
A simple strategy to help your students question AI tools from a familiar starting point
A simple strategy to help your students question AI tools from a familiar starting point
From applying safe and defensible AI to fostering global collaboration, tools like Covidence are helping researchers speed up the process of evidence synthesis
We find out how one US institution has led the way in embedding AI across all its majors and what has been learned in the process
Virtual reality should not replace hands-on laboratory teaching. Used well, it can make practical science more sustainable by reducing avoidable waste and helping staff use real laboratory time more effectively
In designing and conducting studies that involve members of LGBTQ+ communities, researchers need to recognise the diversity and complexity of participants’ experiences. Here are seven ways to apply an intersectional approach for better research
Looking for investment to turn your research into a company? Don’t think it’s all over – here’s how to knock it out of the park
Practical strategies for researchers engaging with trauma-related issues and participants with experience of trauma
While robust EDI policies are essential, equity, diversity and inclusion efforts become truly meaningful when visible representation and everyday interactions are prioritised across the institution
LinkedIn can help researchers build international collaborations, but only when it is treated as a professional community, not just a digital CV. Follow these tips to grow your profile
The structural shifts within East Asia’s TNE landscape, including institutional partnerships, regulatory reforms and skills priorities, are redefining the next phase of its growth
A five-stage framework, enhanced by GenAI, can help educators create more interactive, inclusive and responsive online learning experiences that boost student engagement and learning online
Data alone will not ensure effective student support. From careers to well-being and disability services, using it successfully requires collaboration between academic and professional services, training and shared accountability, writes Aleata Alstad-Calkins
Students and academics are on different planets in terms of AI use, creating a culture of distrust and secrecy. Dina Kamel offers three ways to close the gap
By combining a comprehensive style guide with practical workshops and continuous feedback, among other strategies, universities can ensure English communications are clear, professional and consistent
The primary source of institutional AI proficiency must be universities themselves, not the technology companies who offer training for their platforms. Without that agency, we risk surrendering educational practice to commercial interests, write Amy Allen and David Hicks