Learning Objective:
Participants will practice using Generative AI to create tailored questions from academic PDFs and assess the accuracy and suitability of these AI-generated questions for higher education.

Purpose:
This challenge enables participants to explore the efficiency and limitations of Generative AI in crafting educational content. By testing and refining prompts, participants gain insights into how AI can assist in resource development while understanding the need for careful review to ensure quality and relevance in an academic setting.

Challenge

This challenge is all about using Generative AI to create effective learning resources from a PDF. One of the strengths of GenAI in the university setting is the ability to quickly generate case studies and questions. While these AI-generated questions need careful review for accuracy and bias, they can save educators time in developing resources.

How to do it?

Upload a PDF document to Claude or another AI model. In your prompt, give the model a clear role, such as a learning designer, and specify the academic level and context of the questions. Ask the model to generate a set of questions and an answer key based on the PDF.

Example:

For this challenge, I uploaded an excerpt from the open textbook "Principles of Sociological Inquiry: Qualitative and Quantitative Methods" by Amy Blackstone. Here's the prompt I used: "Act as a learning designer. Using the following PDF, generate 10 questions that assess students' understanding of the article. The questions should be appropriate for fourth-year university students and should focus on the 'analyze' level of Bloom's Taxonomy. Please ensure the questions are a mix of multiple-choice and short-answer, and include an answer key."

Let's do it!

Now it’s your turn! Upload your own PDF, try out a prompt, and see what questions the AI generates. Share your results and reflect on how well the questions align the uploaded resource in the Challenge 8 Forum.