Generative AI could potentially improve teaching and learning, help to better reach learning objectives or improve the evaluation of your course.
Here is a flow you may use to get started considering how to use generative AI in your course:
- First, list the current learning objectives.
- For each, describe the desired outcome, as detailed and concretely as possible.
- Consider how generative AI will influence these outcomes, listing the pros and cons.
- decide (yes/no) whether AI should be used to support these outcomes, weighing the pros and cons.
- For areas where generative AI will be used, describe in as much detail as relevant how generative AI can be USED to SUPPORT the outcomes.
- Consider what needs to happen to make this work
- Consider how this will impact the evaluation/exam
- Consider how this will impact the learning objectives
- Define measureable criteria for successful implementation
- evaluate and adjust after the course has run
For a template and example look at AI in 41031 Industrial Design (.xlsx format).
You can decide not to include generative AI tools or methods in your course, but students may nevertheless wish to, or be inspired from elsewhere, to do so. You would then instead have to guide students on acceptable use (if any).
References
You may also consider having a look at the following:
Williams [1] “examines the opportunities and challenges of integrating AI into coursework assessments”.
[1] Williams, A. (2025). Integrating Artificial Intelligence Into Higher Education Assessment. Intersection: A Journal at the Intersection of Assessment and Learning, 6(1).