AI Innovation Challenge ยท Week 3 of 4

This is Your
Dress Rehearsal.

Next week is exhibition day. Today, every team reads their poster content out loud. Every team gets feedback. Every team leaves knowing exactly what to fix before the form deadline.

๐Ÿ—ฃ๏ธ

Read Out Loud

Every team reads their 8 draft answers to the class.

๐Ÿ”

Peer Feedback

Structured critique using the rubric โ€” specific and useful only.

โœ๏ธ

Fix & Submit

Leave with a clear action list. Finalize and submit the Google Form before the deadline.

Today's Session ยท 60 min

What We're Doing Today

0โ€“5 minRubric + poster workflow walkthroughWhat's being judged, how the form becomes the poster
5โ€“10 minHow to give good feedbackThe three-part structure โ€” specific, useful, rubric-referenced
10โ€“45 minTeam read-alouds + peer feedbackEach team reads their 8 answers โ€” class responds with structured feedback
45โ€“55 minTeacher feedback highlightsPatterns spotted across all teams โ€” what needs fixing before submission
55โ€“60 minAction items + form deadline reminderEach team writes their top 3 fixes. Deadline confirmed.
Teacher: Read team draft answers before class. Note patterns across teams to raise at the end without singling anyone out.
The Poster Workflow

How Your Answers Become
Your A3 Poster

๐Ÿ“ Today

Read draft answers out loud. Get feedback. Note what to fix.

โ†’

โœ… After Class

Fix your answers. Submit the Google Form officially before the deadline.

โ†’

๐Ÿ–จ๏ธ Before Week 4

Teacher runs the poster generator. All A3 posters printed.

โ†’

๐ŸŽ‰ Exhibition

Your poster is on the wall. You stand next to it and present to visitors.

What you submit in the form is exactly what goes on the poster. No edits after the deadline.

Teacher: Tell teams the exact form deadline now. Write it on the board.
Judging Criteria

The Rubric

Criteria3 โ€” Strong2 โ€” Developing1 โ€” Weak
Problem ClarityReal, specific, compellingSomewhat clearVague or generic
AI Solution + ML TypeNamed, justified, explainedNamed but vagueMissing or wrong
Data & BiasSources + type + mitigationPartial โ€” missing mitigationNot addressed
Ethics & ImpactSpecific harm + safeguardsAcknowledged, not addressedNot addressed
Limitations & Risks2+ specific failure casesVague acknowledgment"It will always work"
Future WorkAmbitious, specific, groundedGeneric ("add features")Not included
Real-World ExamplesNamed + compared to yoursNamed, not comparedNot included

Final score = 60% judge rubric + 40% audience ranked-choice vote

Teacher: Tell students this rubric maps directly onto their 8 form sections. Strong answers = strong poster = strong score.
Peer Feedback

How to Give Useful Feedback

After each team reads their answers, the class gives structured feedback in three parts.

๐Ÿšซ What NOT to say
  • "It was really good / amazing" โ€” what specifically worked?
  • "I didn't understand anything" โ€” which section specifically?
  • "Your idea is bad" โ€” challenge the content, not the concept
Teacher: Model the feedback yourself after the first team. Show them what specific and useful looks like in practice.
Watch Out For

Most Common Weaknesses
in Draft Answers

โŒ "We'll use good data"

Not a bias strategy. Name the bias type โ€” historical, sampling, label, feedback loop โ€” and describe a specific mitigation. "Good data" tells a judge nothing.

โŒ "Our system is safe"

Every AI system can cause harm. Give a real harm scenario and a real safeguard. Pretending there are no risks loses points immediately.

โŒ "Sometimes it might be wrong"

Not a failure case. Format it properly: user does X โ†’ system outputs Y โ†’ consequence is Z. Two of these. Specific. Real.

โŒ "We use AI / machine learning"

Name the ML type. Classification? Regression? Recommendation? NLP? Computer vision? Not naming it costs you a full rubric criteria point.

โŒ "Google does something similar"

Not enough. Name the specific system, then explain how yours differs or improves on it. Comparison is the whole point of the real-world examples section.

โŒ Bullet points in any answer

Your answers go directly onto the poster as prose. Bullet points break the layout. Every answer must be written in full sentences โ€” 3 to 5 of them.

Teacher: After the read-alouds, reference whichever of these you heard most. Don't name teams โ€” make it general.
Important

Writing for a Poster
Is Different

Your answers go directly onto an A3 sheet. That changes how you write.

โœ… DO

  • Write in full sentences โ€” no bullet points
  • Keep each section to 3โ€“5 sentences maximum
  • Make every sentence add new information
  • Read it aloud โ€” if it sounds robotic, rewrite it
  • Be specific โ€” names, numbers, real examples

โŒ DON'T

  • Use bullet points or numbered lists
  • Write more than 5 sentences per section โ€” it won't fit
  • Start sentences with "In conclusion" or "As we mentioned"
  • Copy text directly from Week 1 or Week 2 worksheets without editing
  • Leave any section blank or with placeholder text
Teacher: Remind them: the poster generator takes their exact text. What they type is what gets printed at A3 size in front of 90 people.
Before Exhibition Day

Your Action List

Fix your answers โœ“

Incorporate all feedback from today. Go section by section against the rubric. Every answer should score a 3 before you submit.

Submit the form โœ“

Submit officially before the deadline. If you already submitted a draft, edit it. No submissions accepted after the deadline โ€” no exceptions.

Upload your photo(s) โœ“

At least one photo in the form. Team photo, diagram, mockup, screenshot โ€” anything visual. The poster needs it.

Form deadline: [ Teacher writes deadline here ]

Teacher: Write the exact deadline on the board before this slide. Don't leave it vague.