Technical competency is far from the only aspect of preparing students for an AI-driven world. Ethics also deserves attention, writes Jon Catherwood-Ginn. He uses applied theatre to help students cultivate judgement, communication and decision-making skills
By grounding your values in concrete examples, writing with clarity and tailoring your statement to its audience, you can create a document that brings your classroom to life. Read about strategies
Strategies for ensuring relevance, building on existing knowledge and creating flexible learning experiences to better serve increasing numbers of non-traditional students
To tap into cultural diversity and enrich teaching environments, Sarah Kegley suggests three strategies: consult class members, be clear about engagement guidelines and make good use of resources
When AI can offer students the illusion of mastery, assessment design that includes ambiguity, choice, context and real-world values can encourage the effort that underpins deep learning
English may dominate research and industry, but engineers increasingly work across languages, cultures and markets. Universities that recognise multilingualism as a professional asset will better prepare graduates for the realities of global practice
The traditional boundary between a traditional degree and active professional development has permanently dissolved, writes Tim Brown. AI skills need to be taught in a similarly joined-up way
