Prompt Labor – Generative AI in Higher Education – Basics

Overview

In this first of three interactive course modules on the topic of prompting in teaching, you will gain basic knowledge on how to use generative AI tools! Understand how they work, know about their limitations and risks through practical examples from the context of higher education. In the course, you will find answers to questions such as: How do generative AI tools work and how do they differ? What can I use these tools for in my teaching, and what do I have to consider? What efficiency and quality gains are possible? What pitfalls can arise in their use and is their usage even legally permitted?
 

What content can I expect?

• Basics of generative AI
• Introduction to effective prompting and prompting strategies
• Quality assurance with GenAI
• Personal assistants (Custom GPTs)
• Prompting for teaching
• Prompting for assessments
   

By the end of the course, you will be able to…

• Evaluate generative AI systems based on their operating principles and select them for your own purposes.
• Influence the behaviour of the systems and take limitations into account.
• Consider legal and data protection issues when using them.
• Implement quality control for prompts.
• Create and use custom GPTs for your own purposes.
• Accurately assess the potential of prompting for teaching and for assessments.
   

What prerequisites do I need?

No prerequisites are required for participation.