With large language models to provide reports and analysis, educators can make use of generative AI to improve the process of student evaluations, writes Adnan Ajšić
Your students are facing a competition against a faster, better and cheaper opponent in 2025’s job market – AI. Ioannis Glinavos offers his advice on prepping them for the fight
Embedding library skills within disciplines allows teachers and students to link them to learning outcomes and research requirements. Here, a team of engagement librarians explain how to put a map in place
Our response to ChatGPT and its successors should be one that encourages open, interdisciplinary discourse and supports research investigating AI from every angle
Just as the seasons transition from cold, harsh winters to vibrant springs, educators can navigate the challenges of higher education and find moments of growth and inspiration. John Sinclair shows how
When using large language models to create learning tasks, educators should be careful with their prompts if the LLM relies on Bloom’s taxonomy as a supporting dataset. Luke Zaphir and Dale Hansen break down the issues
Generative AI is here to stay – how can higher education respond? Julia Chen poses three fundamental questions to explore a strategic vision for the sector
In bringing financial technology and cryptocurrency into university courses, educators must cover regulatory uncertainty, cybercrime risks and asset bubbles while keeping up with developments. Larisa Yarovaya provides insights
Integrating real-world experiences into creative industries programmes can create truly meaningful results – for both the students and the wider community. Clare Duffin outlines how
