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Patterns and Sorting

STEM • 30 • 1 students • Created with AI following Aligned with Common Core State Standards

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STEM
30
1 students
20 April 2026

Teaching Instructions

This is lesson 3 of 10 in the unit "How Computers Think — An Introduction to Artificial Intelligence". Lesson Title: Learning From Examples — How AI Learns Like You Do Lesson Description: This lesson introduces how AI learns from patterns in examples, similar to how Amani learned to recognize cats. Amani sorts animal picture cards to identify patterns, reinforcing her understanding of categorization and pattern recognition.


First / Then

First we will explore how Amani learns by sorting animal pictures, then she will discover how AI learns by finding patterns just like us.


Interest Anchor

Today’s lesson connects to Amani’s love of cats and animals, to make the idea of learning from examples fun and meaningful.


Learning Objectives

  • Recognize and describe patterns in groups of animal pictures, focusing on cats as a key category.
  • Understand that AI learns by looking at many examples and finding patterns, just like Amani does when sorting animals.
  • Categorize animals into “cat” and “not cat” groups using picture cards.
  • Demonstrate early computational thinking through classification and pattern recognition.

Standards Alignment

Florida B.E.S.T. ELA Support:

  • ELA.1.R.1.4: Use context to confirm or self-correct word recognition and understanding, rereading as necessary.
  • ELA.1.V.1.1: Recognize and use descriptive language, including nouns that name animals and objects.

Florida NGSSS Science:

  • SC.1.L.14.1: Identify and classify objects by observable properties (color, shape, size, and pattern).
  • SC.1.N.1.1: Raise questions about the natural world and gather information using the senses.

Duration

Total: 30 minutes

  • Regulation Check and Review: 5 min
  • Exploring Pattern Recognition with Animal Cards: 15 min
  • Chant and Reflection: 5 min
  • Independent Sorting Station or Low-Sensory Alternative: 5 min

Materials Needed

  • Animal Picture Cards (30 cards total; 15 cats, 15 various other animals) with Control of Error: Cards have color-coded backs (e.g., blue back for cats, green back for others) for error self-check.
  • Visual First/Then board: “Sort Animals → Find Patterns”
  • Quiet, softly-lit sensory-friendly workspace
  • Visual schedule card for transitions
  • Drawing paper, crayons or colored pencils
  • “AI Learning” rhythmic chant printed on card

Preparation Notes

  • Confirm Amani’s regulation state using a familiar 5-minute review task (e.g., counting cats from previous lessons or matching cats to habitats).
  • Provide sensory tools nearby in case of slight dysregulation.
  • Have transition and calming strategies ready for immediate use.
  • Have low-sensory alternative ready (e.g., sorting digital picture cards onscreen with headphones on quiet mode, or sorting if tactile cards are refused).

Instructional Delivery Script

Step 1. Regulation Check and Review (5 min)

  • “Amani, today we will sort animals to see how you learn patterns, just like a computer does.”
  • Present: familiar cat sorting counting task from past lesson.
  • Only proceed if smooth, calm engagement is observed.

Step 2. Introduction to Pattern Recognition (3 min)

  • Show the animal picture cards.
  • “Look! Some of these animals are cats and some are not cats.”
  • “Remember how you know a cat when you see one? Because of its shape, ears, tail, and fur pattern?”
  • “AI learns the same way—it looks at many examples to figure out what makes a cat a cat!”
  • Show the visual “First/Then” board: First sort animals → Then find the pattern.

Step 3. Sorting Activity (12 min)

  • Place all 30 cards face up in front of Amani.
  • “Sort these cards into two piles: ‘Cats’ and ‘Not Cats.’ You decide where each card goes.”
  • Give her control of error: all cats have blue backs, all the rest green backs, so she can flip cards if unsure to self-check.
  • Offer prompts only if she requests or echolalia hints indicate confusion, using rhythmic supportive echo:
    “Cat or no cat? Cat or no cat?”
  • Allow her to draw one cat and one non-cat animal after sorting, connecting to her drawing interest and reinforcing concept.
  • Narrate orally as she sorts, praising her insightful identifications without external corrections.

Step 4. Chant and Reflection (5 min)

  • Introduce rhythmic chant to embed notion of learning from examples:
    “Look and see, look and see,
    Patterns shape what will be.
    Cats are here, cats are there,
    AI learns by what we share.”
  • Repeat chant 3 times with hand motions (point to cards → sort piles → fold hands).
  • Invite Amani to say chant aloud or quietly echo.
  • Ask open-ended questions with silent wait time:
    “How did you know which ones were cats?”
    (Wait 10 seconds)
    “What is similar about the animals in the cat pile?”
    (Wait 10 seconds)
    Accept any form of response: speech, chant, point, drawing.

Step 5. Independent or Low-Sensory Station (5 min)

  • Set up a sorting station with smaller sets of animal cards or a tablet with digital cards in a quiet corner.
  • Provide a self-directed set with control of error backs or a computerized interface with immediate feedback.
  • Encourage her to work at her own pace and exit any time if overwhelmed.

Control of Error

  • Card backs have matching color codes that reveal the correct category when flipped.
  • The rhythmic chant backs up the concept without correction.
  • Drawing reinforces learning through a non-verbal modality.

Low-Sensory Alternative

  • Use a tablet or laptop with muted sounds and gentle screen brightness.
  • Amani sorts virtual cards by dragging them into “cat” or “not cat” boxes.
  • Visual cues and color borders guide sorting.
  • No physical textures or multi-sensory overload.

Station Version

  • Pre-sorted cards with “cat” or “not cat” cues removed for independent sorting.
  • Use laminated cards with no smell or added tactile textures.
  • Provide a blank drawing sheet for free illustration after sorting.

Portfolio Note

  • Photograph Amani sorting the cards, focusing on her hands and face interaction with materials.
  • Collect her drawing(s) of cat and non-cat animals.
  • Scribe her verbal or echolalic responses during reflection question time.
  • Document evidence for:
    • SC.1.L.14.1: Classification and observable properties.
    • ELA.1.R.1.4: Self-correction and use of context clues.
    • SC.1.N.1.1: Inquiry and observation skills on patterns.
  • Archive all materials with date and annotations for Florida B.E.S.T. compliance.

Regulation Notes

  • If Amani shows slight dysregulation, pause sorting, and offer proprioceptive input (wall push-ups or gentle bear hugs).
  • If dysregulated, transition immediately to a calm corner with sensory tools; postpone new concept introduction.
  • Resume lesson following a smooth regulator window and use only review or very low-demand task until fully engaged.

This lesson situates Amani’s natural sorting and classification skills in the context of emerging AI concepts, fully aligned with Florida’s standards and Montessori-based supports. Integrating her passion for cats and drawing, this experience richly supports her cognitive and regulation needs with built-in error control and inclusivity across communication modes.

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