Learning Science and GenAI: Introducing concepts of retrieval practice and ask students to make MCQ and conceptual revision questions with use of GenAI. Alternatively, generate questions for students. 

Writing and GenAI: teach student to evaluate sources for quality and accuracy and how to acknowledge information sources, including GenAI.  

GenAI as dissertation research assistant: use GenAI to make code to solve specific data analysis problems (where coding is not part of the assessment), generate stimuli for experiments based around specified rules.

Active learning and GenAI:  think-pair-share-compare examples where students compare answers to what AI generates. Class images (in groups) to compare and identify trends in data the class shares. In-class research task to help decolonise the curriculum by asking AI to identify authors with diverse backgrounds. 

First published: 11 October 2024

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Dr Helena Paterson