Carousel Mini-Module: Generating Case Studies
In this mini-module, participants will learn how to create case studies with the assistance of AI, making it easier and faster to generate numerous case studies for students to analyze and learn from. This module emphasizes the importance of repeated prompting to refine AI output and achieve better results, ultimately saving significant time while enhancing the learning experience.
Bonus Introduction:
If you are not interested in the podcast, go to the Vanilla Intro below.
A Google NotebookLM podcast generated from the Mini-module overview, task, and reflection prompts.
Vanilla Introduction:
Below you'll find a mini-module related to creating case studies with AI. Case studies help our students apply what they are learning to real-world situations, however, they can be time-consuming to create. By getting an AI assist, you will quickly be able to create plenty of case studies for your students to analyze and learn from. In the video, you will see this is one of those times that repeated prompting gets you much better results. Do not be afraid of having AI refine its output and giving it more information. To get to my final product, I had to prompt AI 10 times and it still saved me a significant amount of time! Watch the video, peruse the materials, and then engage in the activity and reflection. If you are looking for a platform, Jen suggests you use ChatGPT or Copilot for this assignment.
1. Jen's Video Overview:
2. Jen's Output and Final Case Studies:
- Sample AI input and output to create early reading case studies: Creating Case Studies with AI [Word]
- Edited AI output for use with students: Early Reading Case Studies AI Enhanced [Word]
3. Tool/Platform:
Bonus Step:
Take the time to make it usable. Revise the AI content into something you can use with your students when you next teach this content! (See Jen's example: Early Reading Case Studies AI Enhanced)
