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Artificial Intelligence in learning and teaching

Published by LX Team | Last updated 21 June 2024

Advice and ideas for adapting to the advances of artificial intelligence in your assessments and curriculum.

Collection Content

Quick-start guide for adapting to AI

Five principles for the effective ethical use of generative AI

Developing guidelines for generative AI in your subject

AI-resilience diagnostic for assessment tasks

Short-term approaches to mitigation and AI literacy

Long-term approaches to mitigation and AI literacy

Using Microsoft Bing Copilot Generative AI

Case studies

AI case study: consistent MME projects with Anna Lidfors Lindqvist

AI case study: legal practice with Dr Evana Wright

AI case study: visual assessments with Samuel Yu

AI case study: sports science with Mike Rennie

AI case study: coding in Business with Matthew Beauregard

AI case study: image generation in Product Design with Dr Frederique Sunstrum

AI case study: image generation in Fashion Design with Wajiha Pervez

AI case study: image generation in Architectural Design with Mohammed Makki and Dave Pigram

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