We think that it's important for educators to have an understanding of the technology that their learners may be interacting with. The following guides and examples provide some places for academics to start using AI. Alternatively, have a look at our examples of AI tools, or the latest stories on our AI blog.
How do we know when an AI tool is suitable for use in education? Dr Phillipa Hardman has developed a seven-step rubric for assessing AI tools based on the following criteria:
You can download a copy of the rubric here (there is a suggested donation for access to the full rubric)
The emergence of AI tools that can generate content (both text-based and in other formats) has caused a great deal of debate around assessment and academic integrity.
Concern about the implications of AI for academic integrity have led to a series of AI detection tools.
You'll find some examples of detection tools below but it should be noted that:
Researchers at Stanford University have found that AI detection tools may penalise non-native English writers, by misclassifying their writing as AI-generated.
As such, these tools do not provide a reliable way of detecting AI involvement. They may provide a useful resource for classroom discussions and activities around originality, authorship and academic integrity.
The following resources also provide useful prompts for classroom discussions around AI and academic integrity.
This webinar from the QAA explores ideas around "authentic assessment" and provides an overview of perspectives from around the sector in April 2023.
Further resources from the QAA are available as part of their Authentic Assessment in the Age of AI project.
The Library provides access to a wide arrange of resources on teaching and assessment in higher education.
Search Discover@Bolton or explore highlighted titles on our Guide for Academic Staff.