Teaching, learning, and assessment with Generative AI
8. Using Generative AI in your work
Using Generative AI may make our work more efficient, improve the quality, and help prepare us to teach the ethical and effective use of Generative AI.
Current issues with output
What Generative AI produces can be incorrect, biased, opaque, or simply nonsense, so when we use these tools we need to be mindful of this. Marek Kowalkiewicz (QUT) recommends that when we are thinking about using it we should consider:
- are we allowed to use Generative AI?
- is Generative AI suitable for the task?
- does the task involve personal or private information?
- are you approving the final content?
Aleksandr Tiulkanov believes we should never take any ChatGPT output at face value and recommends to use it only when you have the expertise and willingness to take responsibility for the output.
Supporting teaching and research
Generative AI can support a range of academic tasks. Professor Jason Tangen’s Academic AI guide provides ways and prompts to use Generative AI in teaching and research. He has used AI to enhance syllabus, assessment, objectives, activities, and more.
Other work published to support you with Generative AI use in teaching and learning include:
- Mike Sharples collated 9 roles for Generative AI to support teaching and learning which was published by UNESCO in ChatGPT and Artificial intelligence in Higher Education
- Ethan Mollick Wharton Business School, has collated seven ways of using AI in class (including prompts)
- TEQSA's collection of guides about artificial intelligence from across the higher education sector.
There area also a growing range of third party applications are building on Generative AI systems to develop tools to support academic work including:
- Nolej that develops digital interactives
- Scite and Elicit that aim to generate responses based on research
Google and Microsoft are also working rapidly to embed Generative AI capabilities in tools we already use daily.
Further guides and resources about Generative AI in higher education