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Artificial intelligence

The rise of artificial intelligence and Large Language Models (LLMs) like Openai’s ChatGPT have far reaching implications for learning and teaching in higher education. From concerns about academic integrity and cheating, to redesigning assessment with artificial intelligence in mind, the sector is grappling with how to move forward.


On the public QAA website you can find advice, guidance and resources for higher education professionals to adapt their teaching in light of artificial intelligence. We have undertaken this work for the benefit of the whole sector and the outputs from our work are publicly available.


For our members, we are holding exclusive, interactive events to provide practical support and guidance on particular areas. Resources from these are published below.


Member resources

Steps to effectively using academic research


This practical guide is for anyone working with students who wants to understand how to apply artificial intelligence ethically and effectively. This version is a working draft and we are inviting QAA Members to contribute to its refinement.


Steps to effectively using artificial intelligence (working draft for QAA Member engagement)

Publication date: 20 Sep 2023


Generative Artificial Intelligence in academic research


In June 2023, we held an interactive member webinar focused on the use of Generative AI in academic research.


Presentation: Using generative artificial intelligence for academic research

Publication date: 05 Jul 2023

Resource: ChatGPT how to sign up

Publication date: 05 Jul 2023

Resource: ChatGPT 30-minute exercise

Publication date: 05 Jul 2023

Resource: ChatGPT examples

Publication date: 05 Jul 2023

PODCASTS
 
In this podcast, Loughborough University's Professor Sandie Dann and IDOA co-chair Professor Mary Davis discuss academic integrity and generative AI.

In this podcast, Si Bullock (Quality & Standards Specialist) sits down with Professor Michael Draper from Swansea University to discuss academic integrity. 

Related work