Activity Bank
A young teacher practices explaining AI in plain language to a colleague playing a skeptical grandparent.

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Explain It to Grandma

Educators draft 90-second, jargon-free explanations of AI concepts and test them live on colleagues playing a skeptical grandparent, a second grader, or a school board trustee.

Print handouts

Overview

Families, students, and board members are forming opinions about AI in schools right now, often from headlines. The educators who can explain it plainly and honestly, without hype or fear, shape that conversation. In this session participants pair an audience card with a concept card, draft a 90-second explanation, and then test it on a colleague who plays that audience and pushes back with the audience's real questions. Explanations get scored for plain language and for accuracy, because simple is only useful if it's also true.

Objectives

  • Participants will explain one AI concept (such as how chatbots generate text, hallucination, bias, or data privacy) in plain language suited to a specific audience.
  • Participants will keep their explanation technically accurate while simplifying it, including at least one honest limitation.
  • Participants will revise their explanation based on role-play pushback and name what they changed.

Materials

On paper

  • Handout A: Audience and Concept Cards (1 set per trio, cut apart, two face-down piles)
  • Handout B: 90-Second Explanation Planner (1 per person)
  • Handout C: Plain and Accurate Rubric (1 per trio)
  • A visible 90-second timer; chart paper titled "Words that worked" and "Words that confused"

On screen

  • Optional: a phone or laptop per trio to audio-record the final explanation
  • Optional: a generative AI chatbot your district approves, projected by the facilitator, for the "Can AI explain AI?" extension

Before you start

  1. Print and cut Handout A. Keep Audience cards (A1–A8) and Concept cards (C1–C7) in separate piles.
  2. Read the Concept card backs. They are the accuracy key: short, correct explanations your evaluators can check against.
  3. Draft your own 90-second model explanation of Concept C1 for a grandparent so you can perform it in the Model step.

Step by step

  1. 10–4 min

    Hook

    The jargon wall

    Read this aloud in your most serious voice: "Large language models use transformer architectures to perform next-token prediction over high-dimensional embeddings trained on web-scale corpora." Ask: "Hands up if a parent at pickup would find that reassuring." Then: "It's accurate. It's also useless to most people. Today we aim for explanations that are both plain and true."

    Facilitator noteStart a "Words that confused" list right away: model, token, algorithm, training, prompt.

  2. 24–9 min

    Model

    Watch one, then critique it

    Perform your 90-second explanation of Concept C1 ("What is a generative AI chatbot?") to a volunteer holding Audience card A1 (the grandparent). Ask the room to score it with Handout C. Then name your moves: an everyday comparison ("like a friend who's read a huge library and is very good at guessing what comes next"), one honest limit ("it can sound sure and be wrong"), and one action ("so we check important answers").

    Facilitator noteInvite critique of your comparison. Every analogy breaks somewhere. The library friend doesn't actually remember books word for word. Naming where your analogy breaks is a mark of accuracy.

  3. 39–19 min

    Create

    Draw, draft, trim

    Each person draws one Audience card and one Concept card, then drafts on Handout B: the one sentence the audience must remember, an everyday comparison, one honest limit, one thing the audience can do, and a jargon swap list. Trim to 90 seconds when spoken. Trio partners can help, but each person owns their own draft.

    Facilitator noteIf someone draws a mismatch that feels impossible (bias for a second grader), that's the challenge. Offer: "If the AI mostly learned from pictures of one kind of family, what might it think a family looks like?"

  4. 419–34 min

    Practice

    Role-play rounds

    In each trio, rotate three roles for three five-minute rounds: Explainer (delivers the 90 seconds), Audience (reads the Audience card, stays in character, and asks at least one of the card's pushback questions), and Checker (holds the Concept card back and Handout C, and scores plain language and accuracy separately). After each round the Checker gives one "keep" and one "fix." Explainers mark changes on Handout B.

    Facilitator noteWatch for the most common trade-off: simplifying into something false ("AI searches the internet for the answer"). The Checker's job is to catch that without killing the plain language.

  5. 534–41 min

    Debrief

    Words that worked

    Each trio adds two phrases to "Words that worked" and one to "Words that confused." Ask the room: "Which audience was hardest, and why?" and "Where did someone simplify so much it became untrue?" Highlight explanations that included an honest limit. Those tend to build more trust than ones that only reassure.

    Facilitator noteLeaders often find the school board card hardest because trustees want a decision, not a concept. Point them to the leader five questions: vision, evidence, instruction, who is left out, how families will understand.

  6. 641–45 min

    Transfer

    Where will you use it?

    Each person writes on the back of Handout B the real moment they'll use this explanation in the next month (a family newsletter, open house, a board update, the first day of a unit) and the one sentence they'll keep. Collect the "Words that worked" chart photo for a campus-wide plain-language glossary.

    Facilitator noteLibrarians and coaches can turn the best explanations into a short family FAQ; offer to co-edit it.

Paper or screen

Unplugged

The session is fully unplugged: cards, a timer, and role-play. The pushback questions on each Audience card do the work that a live audience would. For a family night version, invite real parents or students to hold the Audience cards.

Digital

Participants can audio-record their final 90-second version and post it to a shared folder or LMS discussion for peer scoring with Handout C. As an extension, the facilitator projects a district-approved chatbot and prompts it to "explain hallucination to a grandparent in 90 seconds," then the room scores it with the same rubric, checking especially for accuracy slips and missing limitations.

Does it need a screen? The core skill, explaining clearly to a live human, is best practiced unplugged. Recording adds evidence: a before-and-after audio pair shows exactly what changed after feedback, which a coach or PLC can review later.

Evidence of learning

What you should be able to see or collect if it worked.

  • Revised explanations on Handout B show a specific change after role-play feedback (a swapped jargon word, an added limit, a better comparison).
  • Checkers score accuracy and plain language separately, and at least one round catches an oversimplification that became untrue.
  • Final explanations include one honest limitation and one action the audience can take.
  • Each participant names a real upcoming moment where they'll use the explanation.

Adaptations

Campus and district leaders
Use only Audience cards A3 (board trustee), A5 (reporter), and A6 (privacy-worried parent). Add a requirement that each explanation ends with what the district is doing and how families can ask questions.
K–2 and 3–5 teachers
Replace the planner with a three-box version: "AI is like…", "But it can…", "So we always…" and practice on Audience card A2 (the second grader).
Families who speak languages other than English
Have explainers practice with an interpreter role (Audience card A7). Plain language translates better; idioms and jargon don't. Note which comparisons fall apart in translation.

Standards connections

Educators explain how chatbots predict text in plain, accurate language, preparing students to explain AI concepts to others with an honest limitation.

TEKS
computational thinkingTEKS sections: Technology Applications §126.5–§126.7, §126.8–§126.10, §126.17–§126.19, high school Technology Applications courses (19 TAC Chapter 126)

See how all activities align

Reflect

  • How am I developing and applying AI literacy in educational contexts, including with families and community members?
  • When I simplify AI concepts, what do I risk getting wrong, and how will I check?
  • Which audience in my community currently hears the least accurate explanations of AI, and who could reach them?

Take it to your students

Have students do the same activity: they explain one AI concept to a younger student or a family member and bring back one question they couldn't answer. Their questions become next week's mini-lesson.

Pairs well with