The purpose of these prompts is to use generative AI to suggest academic books and provide summaries.
Using learning outcomes from the unit of study outline can help generative AI with creating a list of suggested academic books.
Act as a university professor, you are teaching a unit on <UNIT NAME> and want to suggest some useful and easy to understand academic books and readings on latest <TOPIC>. Create an academic book list with a summary, advantages and disadvantages of each book.
At the completion of this unit, the students should be able to:
<LO1.>
<LO2.>
<LO3.>
Using a lecture outline or concept list can also help generative AI to create a list of academic books.
Act as a university professor, you are teaching a unit on <UNIT NAME> and want to suggest some useful and easy to understand academic books. Based on the following lecture outline, create an academic book list with a summary, advantages and disadvantages of each book.
## Lecture Outline
"""
<TOPIC 1>
- <SUBTOPIC 1>
- <SUBTOPIC 2>
- <SUBTOPIC 3>
<TOPIC 2>
- <SUBTOPIC 1>
- <SUBTOPIC 2>
- <SUBTOPIC 3>
<TOPIC 3>
- <SUBTOPIC 1>
- <SUBTOPIC 2>
- <SUBTOPIC 3>
"""
The above prompts work with Microsoft Copilot for Web, which has in-built search capabilities and is also able to cite its sources.
These prompts contain context from the unit / lecture such that the generative AI can suggest books based on the content of the unit / lecture.
NOTE: Remember that it’s still important to do your own due diligence to ensure that books recommended by AI tools are suitable for your assessments. You can verify references by cross checking them in a more reliable search tool like a library catalogue.