Using Generative AI

The following page outlines how we can use generative AI to help create OER.

1. Bulk formatting tasks (alphabetizing lists, applying HTML/CSS styling based on content, etc.)
2. Assisting with the search for open resources (Bing is more helpful than ChatGPT for anything that requires  web search)
3. Creating Learning Outcomes
4. Creating chapter introductions or summaries
5. Creating test banks / end-of-chapter questions
6. Creating example scenarios / case-studies

Note that for any use of generative AI where content is being created, the generated content should be flagged for review by the subject matter expert (author).

Creating Learning Outcomes Using Generative AI – ChatGPT

The process for creating LOs using ChatGPT is very similar to that for creating test banks (see above). The key difference is that we are asking for Learning Outcomes in the prompt, and that in particular we need LOs that use Bloom’s Taxonomy of Measurable Verbs:
Create a list of 5 student learning outcomes for the following textbook content, making sure to use measurable verbs from Bloom’s Taxonomy of Measurable Verbs:
[PASTE TEXTBOOK CONTENT HERE]