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शिक्षाby Grow10x
AIG03-P11

Confident but Wrong

A mistake hunt that catches a confident machine answer that is wrong.

  • Class 3 · Notice
  • Sessions 51-55 · Weeks 26-28
  • In Innovation
  • AI project
Class 3 showcase
Light-Up Sorting Box
The five-session sprint

Session by session

  1. Session 51 · Ask & understandWeek 26

    Can a machine sound sure and still be wrong?

    Evidence: a question, sketch or new vocabulary

  2. Session 52 · Build & designWeek 26

    Read the answers the teacher printed

    Evidence: a design draft, dataset or build

  3. Session 53 · ImplementWeek 27

    Check each answer against the textbook

    Evidence: a working version, explained once

  4. Session 54 · Test & improveWeek 27

    Mark right, half-right or wrong

    Evidence: a test log with at least one failure

  5. Session 55 · Explain & reflectWeek 28

    Explain one mistake in your own words

    Evidence: an individual explanation

Materials & tools
  • Answers printed from a teacher-run AI tool
  • textbook pages
  • mistake log
Minimum test

Five answers checked; at least one mistake found and explained.

AI project

A model, an evaluation study or an AI-checking workflow.

Completion needs the artefact, an honest test log, an individual explanation and no open safety or privacy issue.

AI project

A model, an evaluation or an AI-checking workflow.

Two teachers guiding uniformed students as they build a robot car in a classroomFor school leaders

Choose a starting point.
Build from evidence.

Pick the classes and a plan. We map the timetable, kit and safety checks with you, then pilot one class first.

  • Prospectus and class-wise plan
  • Kit and readiness check
  • Pilot one class first
  • Evidence at every milestone
School enquiry

Let's plan your pilot.

Share a few details and we will send the right plan for your classes.

Classes you are considering

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