Generative AI tools mean that our pedagogy, understanding of specialisation and how we value human abilities such as empathy, compassion and critical thinking must change
Working with industry clients on real-life challenges is an important component of many university courses. Nick Quinn and Alison Gibb explain how they prepare students for this professional experience using ‘active feedback’
Assessment methods that require students to produce authentic, novel and personalised responses can help educators stay ahead of the uncertainty and workload that AI writers create
Nici Sweaney offers simple strategies to shift focus from outcomes to learning and discovery, helping research students to embrace risk-taking and learn from setbacks
Fear of failure impacts student well-being and academic outcomes so educators need to help reframe ‘failure’ as a useful learning tool. Claire Davy-Potts explains how
Sending students into the field armed with journals (and latterly iPads) has provided pedagogical lessons that can be applied far beyond my field of natural history, says Michael Brunson
Modern employers require a broad suite of skills from graduates; Jorge Membrillo-Hernández outlines how challenge-based learning can help, and how to get started