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
Whether using it for career development or writing a statement as a reflective exercise, learn how to identify and showcase the values, beliefs and goals that govern your teaching approach through real examples
Artificial intelligence is offering us an opportunity to give every student in the lecture hall the chance to think ideas through and truly understand. Let’s take it
When a student’s work sparks concerns over AI use, the best approach is to sit down with them and have a conversation to ascertain if they understand what they submitted, explains B. Jean Mandernach, who shares tips for doing this
With practical tools, early career researchers can build productive partnerships that advance their work and withstand the pressures of shrinking budgets and shifting priorities
Trying to detect whether a student has misused AI in their work is a wasted effort, from which no one benefits, writes B. Jean Mandernach. She proposes a different approach focused on finding out what students truly understand
