Advice on how to help students develop employability skills for the 21st century workplace, covering real-world experience and authentic learning that aids graduates in the transition to professional careers.
Educators might treat AI as an integrity problem, but employers don’t. They need graduates who can decide when to trust the machine – and when not to. And that’s why you should design assessment that forces students to argue against AI
Students working towards creative careers have mixed feelings about AI and its potential effects on their job prospects. So education must consider the best practice in the application of tools but also teach students design fundamentals
The question is no longer whether students will use AI after graduation but to what extent. So, how can universities best ensure that students are workforce-ready?
How playful exercises in an intersession course can improve judgement, foster probabilistic thinking and help students stand out in an uncertain job market
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
Careers services go beyond preparing students for immediate graduate positions. They equip students to navigate their professional lives over time, to progress and adapt through change. Gemma Kenyon explains the nuances of delivering employability at scale
AI literacy goes far beyond basic prompt writing. Learn strategies for building understanding of how AI tools work, how to use them effectively to support teaching, learning and research, where their limitations lie and the ethical implications surrounding their use
