Would You Rather Question Generator Responses

Questions:

Helpful Tip: to receive new ‘Would You Rather’ questions with more variation, re-try the tool and add a few descriptive words to what you want your questions to be about.

If you are not satisfied with your questions (or your questions did not generate as expected), re-try the tool by clicking the ‘Reload Tool’ button below.

If you need further assistance, feel free to send us a message on our Contact Page.

Share Your Would You Rather Questions

How to Use the AI Responses

Below you will find a few unique ways you could use the Artificial Intelligence responses from this tool. Please remember that it is your responsibility to use this tool wisely, ethically, and resourcefully in your classroom.

Use the Questions as Your Warm-Ups

‘Would You Rather’ style questions generate high student engagement and interactions. Using these questions within a warm-up will set a positive and dynamic tone for the rest of your class. Plus, these questions will naturally lead into any topic that you like because you can choose the topic!

Add the Questions to a Lesson for a Brain Break

Sometimes breaking up a lesson with a quick, interactive activity can help re-motivate an entire classroom. Try throwing in a few ‘Would You Rather’ questions to break up a lesson to get your students talking and vibing once more!

Add them to Your Assessments

Include a ‘Would You Rather’ question on your next test/quiz/assignment as a short answer question to add a new twist to your assessment strategy. Including questions like these that is still concerning the topic of the assessment can actually increase student drive and creativity.

How This Tool Works

We spent time crafting this tool using a combination of AI Learning Models and personal classroom experience from actual educators. Below are a few specific details about the technology that powers this tool.

Our AI Tools are powered by OpenAI’s API (Application Programming Interface).

We created a fine-tuned AI model that generates specific types of responses that are best tailored to an educator’s needs

By testing the responses this tool generates in an actual classroom, we fine-tuned the model even further to best optimize student-learning.

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