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Mirror, mirror

  • Grade Level: 3-8
  • Duration: 30 minutes
  • Subject: Language Arts
  • Interdisciplinary Connection: Health and Physical Education
  • Platform: Other
  • Skill: Digital citizenship and critical thinking

In this lesson, students investigate the “agreeableness bias” inherent in Large Language Models (AI).

Through an interactive simulation and the analysis of real-world scenarios, students will discover how AI is programmed to be sycophantic, validating user perspectives to maintain engagement, rather than providing objective or safe advice.

By the end of the session, students will be able to distinguish between digital validation and genuine human support, fostering the digital agency required to navigate personal challenges in an AI-saturated world.

What's in this lesson

  • Lesson Plan

    Editable document

  • Video/Slides

    Video and Slides

  • Assessment

    Formative

  • Educator Resources PDF

    PDF

Curricular Connections Accordion

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Strand A2. Digital Media Literacy:

A2.3 Research and Information Literacy: conduct research, considering accuracy, credibility, and perspectives, with a focus on misinformation, disinformation, and curated information, to construct knowledge, create texts, and demonstrate learning, while respecting legal and ethical considerations.

A2.4 Forms, Conventions, and Techniques: evaluate the use of the various forms, conventions, and techniques of digital and media texts, consider the impact on the audience, and apply this understanding when analyzing and creating texts.

Strand C3. Critical Thinking in Literacy:

C3.3 Analyzing Texts: analyze complex texts, including literary and informational texts, by assessing the credibility, reliability, and significance of information and formulating conclusions.

C3.5 Perspectives within Texts: analyze explicit and implicit perspectives communicated in various texts, evaluate any evidence that could show bias in these perspectives, and suggest ways to avoid any such bias

Reading a Variety of Texts Skills

1.1.e. Extract explicit and implicit information from multiple texts

A.e. Identify some characteristics of texts that aim to persuade or prompt action.

2.c.ii. To comment on the text and say what you would have changed.

Oral Communication Skills

A.1.d. Observe the diversity of communication contexts

A.1.b. Observe the variety of intentions behind speaking and listening

Objectives Accordion

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Learning goals

  • Identify how AI's agreeableness bias affects responses to personal questions.
  • Evaluate when AI's agreeable nature might be harmful.
  • Develop critical awareness about seeking AI advice.

Success Criteria

  • Write an output that is not influenced by a desire to please.
  • Identify a consequence resulting from the AI’s response.

Material Accordion

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Required :

*It is important to know that the output in the scenarios are exaggerated and are not real representations of AI outputs. The objective is to make the agreeableness bias really obvious.

Optional :

Digital devices to allow students to test personal prompts during the "Consolidate" phase.

Lesson Accordion

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Activity Description
Prior Knowledge

A basic understanding of what an AI chatbot is and have likely interacted with tools like ChatGPT.

Understanding the difference between objectivity and subjectivity.

Minds On

5 minutes

Setup:

Ask for two student volunteers to come to the front.

Instructions:

Secretly give Volunteer A an instruction: "No matter what Volunteer B says, you must enthusiastically agree with them and tell them they are right."

Give Volunteer B a topic (e.g., favorite food or video game) and tell them to start talking, but halfway through, they must completely change their mind.

Example:

"Pineapple on pizza is the best thing ever!" (A agrees). "Actually, wait, pineapple on pizza is disgusting and ruins lives." (A agrees again).

Debrief:

"What did you notice? How did volunteer A respond? Did they actually have an opinion, or were they just trying to make Volunteer B happy?"

The Reveal:

Explain that AI chatbots are programmed to be polite helpers. They often act exactly like Volunteer A—they are "Yes-Bots."

Consider asking students to reflect on the following questions as a whole group:

Model

5 minutes

Whole Class Discussion

Teacher: "Raise your hand if you've ever asked AI for advice about a personal situation. friendship, family conflict, school stress, anything like that."

Teacher: "Many of us are using AI this way. It's available 24/7, it won't judge you, and it can't tell anyone what you said. But there's something important about how AI responds that you’ve just demonstrated in our warmup. AI is designed to be agreeable. It's trained to validate your perspective and tell you what you want to hear. Today we're going to explore what that means and why it matters."

Key Points to Share:

  1. AI ‘learns’ to say yes. AI has learned that agreeable responses get better ratings, so it generates more agreeable responses.
  2. AI rarely challenges you. "AI will almost never tell you that you're wrong. This isn't because AI is trying to trick you. It's simply how these systems are designed to keep users satisfied and engaged."
  3. Validation is not the same as good advice. "Feeling validated feels good. But feeling good and getting helpful advice are not the same thing.”
Practice

15 minutes

Small Group Task

Divide the class into groups of 2 to 3 students. Give each group one scenario card that presents a teen seeking advice from AI about a personal situation.

Instructions:

  • Read your scenario carefully. Your group's task is to analyze….
  • Did the AI say what the student wanted to hear, or what the student needed to hear?
  • Why does it feel good in the moment, but might be bad for the future?
  • Who, in real life (a parent, teacher, or friend), would give a more honest answer? What would be their answer?

*It is important to know that the output in the scenarios are exaggerated and are not real representations of AI outputs. The objective is to make the agreeableness bias really obvious.

Group share :

Voluntary group briefly shares (1-2 minutes):

  • Their scenario
  • What response would actually help versus what AI provided
  • What makes this situation something AI cannot adequately address
  • How the user might move forward with their queries

Tips for the classroom activity:

  • Identifying bias: Ask students to identify words that show the AI is trying to be “too” nice (e.g., “You’re brilliant,” “I support you”).
  • The Role of AI: Explain that the AI is programmed to be a “helpful assistant,” which sometimes prevents it from saying “no” or giving responsible advice.
  • Human Correction: Ask students to rewrite the AI’s response so that it’s truly helpful, emphasizing that a real friend or a responsible adult would sometimes give advice that’s different from what we want to hear.
Consolidation

5 minutes

Instructions:

View the video with the whole class and stop at 3:05

Group Discussion:

“What is the moral of the story?”

“Who do you think represents the user and the AI chatbot in the story?”

“How should the miller act considering what we learned from Mirror Mirror?”

Modifications & Accommodations

Scaffolding : Provide sentence frames for the scenario analysis (e.g., "The AI is being nice here because it says instead of challenging the user about ").

Universal Design for Learning (UDL): Offer the scenario cards in multiple formats, including audio recordings or simplified text versions for English Language Learners or students with reading disabilities.

Guided Practice: For Tier 2 support, the teacher may work with a small group to "think-aloud" through Scenario A before moving to independent group work.

Assessment Accordion

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Formative:

Observation: During the "Practice" phase, the teacher will circulate and use a checklist to gauge students' ability to identify the user's actual need versus the AI's provided response.

Extension Accordion

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Health and Physical Education:

Exploring safety, mental health, and the importance of genuine human connection in

times of crisis.

Individual Reflection → Provide students with these prompts for private reflection:

Think about a time when someone gave you advice you didn't want to hear, but that turned out to be helpful. What made their disagreement valuable?

How can you tell the difference between "AI is giving me a useful perspective" versus "AI is just telling me what I want to hear"?

Class Resource Development → As a class, create a resource guide/doc:

When AI might be helpful: Brainstorming, organizing thoughts, exploring general information

Who to turn to: School counselor, trusted teacher, parent/guardian, therapist, doctor, crisis hotline