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Good vs. Bad: Generate AI-Created Infographics to Contrast Examples and Non-Examples

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Author:
Adapted from Rhoads, M. (2026, May 1). Beyond static examples: Using AI to create interactive examples [Conference presentation]. CCAE State Conference, San Diego, CA, United States.
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Activity Website:
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Tech Product/Equipment:
Computer and projector, Mobile devices for students, Computer, LMS or other online platform to share images

Activity Description

Resume example - non-example good result
 
 Create engaging and visually vibrant info-graphics that demonstrate a good example of a lesson/task/skill vs. a bad version of the same lesson/task/skill.

Preparation

  1. Check the website to ensure it is not blocked at your site.
  2. Read through the lesson plan.
  3. Print and make copies of any handouts.

How-To

Note: This lesson was written in 2026. As AI improves at such a rapid speed, it will become easier to do this in the future with less effort. However, this lesson serves as a great tool for teachers to practice AI prompting skills. The more your prompting skills improve, the better you'll be able to teach these skills to your students!

When we teach, we normally give examples of what a good answer, sentence, math solution, etc. looks like. However, there is equal value in giving bad examples (or 'non-examples') with clear explanations as to why they're bad.

Sometimes, new concepts are difficult for students to grasp. Integrating examples and non-examples into teaching clarifies new concepts by highlighting their essential characteristics. This approach bridges the gap between fresh information and a student’s funds of knowledge (existing knowledge).

While examples demonstrate what a concept is, non-examples provide necessary boundaries by showing what it is not. Examples identify core traits, similarities, and logical steps. Non-examples offer contrast. They may appear similar to the target concept, but lack specific defining features, helping students distinguish relevant details from distractions. By analyzing both, learners can more accurately define a concept's limits and solidify their understanding (Teaching by example and nonexample, 2022, November 2).

Making those contrasts visual can simplify those concepts. A colorful infographic can really hook a student's interest and drive home learning.

Here's a couple of examples from Matt Rhoads' 2026 CCAE State Conference presentation, "Beyond Static Examples" (Rhoads, M., 2026).

Infographic Examples - Rhoads Beyond Static

These were created completely by AI. Most generative AI chatbots can do this, but for this lesson, I'll focus on Google's Gemini. (Note: I tried this on Diffit, and a couple of other generative AI chatbots and got the best examples with Gemini. You may want to experiment with others.)

The key here is the prompt. The more general the prompt, the less likely it is that you'll get exactly what you want. The deeper you go into detail, the closer the infographic will be to what your concept is.

Here's an example of my initial prompt. It's pretty detailed on an amateur scale. (I'm a teacher, not a coder or designer.)

Example - Non-Example AI prompt-1

It's pretty good, but didn't get exactly what I wanted, and there are some obvious errors:

Resume example - non-example bad result
 
So, I gave Gemini a 2nd prompt to attempt to adress the errors and to make design modifications. Notice how my last instruction is "Before you re-generate the info-graphic, ask me any clarifying questions that you have about these instructions if something isn’t clear." This can be really helpful to the chatbot and to you so the AI can generate something closer to your initial concept. (Note: Diffit has that function built into its programming which asks questions based on the instructional goal.)
 
Here's my updated prompt:

Example _ Non-Example AI prompt-2

Example _ Non-Example AI prompt-3

And here's what it generated:

Resume example - non-example good result

That's much closer to what I had envisioned and it correct all of the errors.

With a little investment of time, you can get high-quality example/non-example info-graphics to quantify the exact lesson/concept/skill that you're teaching your students, whether it be a math concept, a writing lesson, a grammar rule...whatever!

References

Rhoads, M. (2026, May 1). Beyond static examples: Using AI to create interactive examples [Conference presentation]. CCAE State Conference, San Diego, CA, United States.

Teaching by example and nonexample. (2026, November 2). Early bird. https://early-bird.msudenver.edu/teaching-by-example-and-nonexample/

Teacher Tips

Generating these images takes a lot of energy and water back at those AI server farms, so I always write out my prompts on a doc (like Google Docs or Word) before I feed it to the chatbot and go over it a couple times before giving it to the chatbot. I'll also ask the chatbot to provide feedback on my prompt prior to generating the info-graphic to see where mistakes may occur to try and get it right the first time.

More Ways

I've also used this idea to generate high-quality info-graphics of vocabulary lists and other teaching materiels.

Here's an example of a grammar info-graphic that I asked Gemini to generate:

Linking Words Infographic
 
 

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OTAN activities are funded by contract CN240137 from the Adult Education Office, in the Career & College Transition Division, California Department of Education, with funds provided through Federal P.L., 105-220, Section 223. However, OTAN content does not necessarily reflect the position of that department or the U.S. Department of Education.