AI Prompt Library
The AI Prompt Library is a collection of prompt templates designed to give you a starting point and inspiration you need to use generative AI tools like an expert.
What is a prompt?
A prompt is simply an instruction you give to a Generative AI tool to receive the magical output you’re looking for.
In the AI Prompt Library, you will find prompts from different categories, such as learning, exams, writing or feedback. The description of each prompt includes tips and disclaimers, which offer additional information about the prompt.
The AI Prompt Library indicates which prompting methods were used and why they are important. Hopefully, seeing the examples will help you experiment with your own prompts. Should you have prompt suggestions that could be useful for others, do not hesitate to send them to us.
Let’s grow the AI Prompt Library together!
The AI Prompt Library is a collaborative effort by Michalina Kaminska, a lecturer at SBE, EDLAB, and the University Library, with funding provided by Npuls. Npuls is a national growth fund programme focusing on the digital transformation of education.
Open Education Resource
The AI Prompt Library © 2024 by EDLAB Maastricht University Centre for Teaching and Learning is licensed under CC BY-SA 4.0
Disclaimer
The AI Prompt Library presents examples to make better use of GenAI educational design, delivery, study and assessment practices. Certain GenAI practices in education may not be encouraged or allowed within your faculty’s policy framework and/or rules and regulations. When in doubt, please check the recent faculty rules on the use of GenAI in education.
UM does not recommend to use GenAI for the assessment of students since the EU AI-act flags such practices as high risk. More specifically the following assessment practices with the help of GenAI should be avoided:
- Determining access or admission of students to educational institutions or programmes
- Evaluating students' learning outcomes
- Assessing the appropriate educational level for a student
- Monitoring and detecting unauthorised behaviour by students during exams