No sooner had generative AI ignited fears in universities about risk to assessment practices and academic integrity than academics set to working out how to embrace it to save time and enrich student skills such as critical thinking and analysis. This has required consideration of not only how to use artificial intelligence in university assessment in the future but also a rethink of past exam, assignment and evaluation practices. This diverse collection of resources includes advice on how to engineer prompts, use AI for authentic assessment design, whether to lean into AI-detection tools, how to build digital literacy and AI’s role in developing soft skills in lifelong learning.
![AI and assessment spotlight image](/sites/default/files/styles/featured_image/public/2024-05/1600%20x%201200%20160524.png?h=86d4c25e&itok=RcYQdRAx)
How AI can affect formative and summative assessment design
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![Woman working at computer with robot](/sites/default/files/styles/featured_image/public/2024-05/iStock-1518671364.jpg?h=02d75886&itok=RDGLF19U)
AI detection, cheating and academic integrity
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![ai detection concept image](/sites/default/files/styles/featured_image/public/2024-05/iStock-ai-detection.jpg?h=757f2be4&itok=-6EZPyU1)
Rethinking assessment in an age of AI
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![tip of ai iceberg concept illustration](/sites/default/files/styles/featured_image/public/2024-05/iStock-AI-tip-of-iceberg.jpg?h=aa68aae0&itok=tWRdxFEZ)
Understanding the potential of AI
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![AI in balance concept](/sites/default/files/styles/featured_image/public/2024-05/iStock-ai-balance.jpg?h=02d75886&itok=E9B27xUM)