🏆 Phase 5 — Propagation 📝 Summative Quiz ⏱ 5 minutes

Task 11 — What Have You Learned?

Five questions across the whole lesson — science, technology, health, and AI ethics. One question per screen, no going back. Instant feedback where possible.

📝
Summative Quiz — 5 questions
Think back across the whole lesson before you begin
Before you answer, take a moment to recall everything you explored today:
🌈
What you observed in the opening video about light and colour
👁
What you learned about the eye's cone cells and the brain's role in colour
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What your group investigated — science, engineering, or health
💡
What you discovered about screens, digital habits, and AI
📋 Rules: One question per screen · No going back · Q1–Q2 auto-marked with instant feedback · Q3–Q5 saved for teacher review · No time pressure — take your time.
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2
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5
Question 1 of 5
Question 1 of 5 Auto-marked
What are the three types of colour-detecting cells in the human eye, and what light wavelength is each primarily sensitive to?
💡 Think back to the retina diagram and the slides from Phase 2.
A
Rods (red), Cones (green), Neurons (blue)
B
S-cones (blue), M-cones (green), L-cones (red)
C
Blue cones (UV), Green cones (visible), Red cones (infrared)
D
Pixels (red), Photons (green), Rods (blue)
Question 2 of 5 Auto-marked
On a digital screen, what RGB combination produces the colour yellow?
💡 Think about the RGB mixer — remember, mixing light works differently from mixing paint.
A
Red + Blue (R:255 G:0 B:255)
B
Green + Blue (R:0 G:255 B:255)
C
Red + Green (R:255 G:255 B:0)
D
All three at full brightness (R:255 G:255 B:255)
Question 3 of 5 Teacher review
Why does the Dress Illusion cause different people to see different colours, even when looking at the same image?
💡 Think about the role of the brain — and what assumption it is making about the light in the image.
0 / 200
🔍 Your teacher will review this answer using a 4-point rubric: (1) names the role of the brain; (2) mentions assumptions about lighting or context; (3) links to the concept of colour perception vs colour reality. Saved to your portfolio.
Next Question →
Question 4 of 5 Teacher review
Name one scientifically supported health effect of too much screen exposure, and explain the biological reason it happens.
💡 Think about blue light, melatonin, eye strain, and the circadian rhythm from Phase 3 Group C.
0 / 200
🔍 Assessed on: (1) valid health effect named; (2) correct biological mechanism explained (e.g. blue light → S-cone stimulation → melatonin suppression → delayed sleep onset). Saved to your portfolio.
Next Question →
Question 5 of 5 · AI Ethics Teacher review
Describe one situation where using AI for science research is genuinely helpful, and one situation where you should be cautious about what the AI tells you.
💡 Think about your group's AI fact-check experience. What did the AI get right? What was incomplete or uncertain? This is the central learning outcome of the lesson.
A One situation where AI is genuinely helpful for science research:
0 / 150
B One situation where you should be cautious about the AI's response:
0 / 150
🔍 5-point rubric: (1) valid helpful use case; (2) valid cautious case; (3) reasoning linked to lesson experience; (4) understanding of AI limitations; (5) nuanced rather than binary thinking. This is the central DigComp learning outcome.
🎉 Lesson Complete!
⭐⭐
Lesson Complete! 🎉
Light, Colour & the Eye · Wonder Learning
2/2
Auto-marked correct
3
Awaiting review
11
Tasks completed
Your reflection from Task 7
"Colour is not in the world — it is built inside the brain."
🏅 Badge Earned
Digital Health & Information Literacy — Level 1
DigComp 1.2 · 4.2 · 4.3 · Wonder Learning 2025
← All Lessons
📬 What happens next
📝
Questions 3, 4 & 5 will be reviewed by your teacher within the next lesson. Your responses are saved in your portfolio.
🏅
Your DigComp badge is saved to your portfolio. You can download it as a PNG or share it as a verifiable link.
💬
Wonder Feedback you received from other groups in Task 9 will appear in your portfolio after the lesson ends.

What happens in Task 11

A 5-question summative quiz covering the full lesson arc. Questions appear one at a time with no back navigation. Q1–Q2 are multiple choice, auto-marked with instant animated feedback and a minimum 3-second display time before the next button appears. Q3–Q4 are short text responses saved for teacher review. Q5 is a two-part AI ethics question — the central DigComp learning outcome. After submitting Q5, the personalised completion card animates in.

📋 Quiz structure

Q1 · Auto-marked
Name the three types of colour-detecting cells and their wavelength sensitivity. [Correct: B — S/M/L cones]
Q2 · Auto-marked
What RGB combination produces yellow on a screen? [Correct: C — R:255, G:255, B:0]
Q3 · Teacher review · 4-point rubric
Why does the Dress Illusion cause different people to see different colours?
Q4 · Teacher review · 2-point rubric
Name one health effect of screen exposure and explain the biological reason.
Q5 · AI Ethics · Teacher review · 5-point rubric · Central DigComp outcome
Describe one situation where AI is helpful for science research, and one where you should be cautious.
♿ SEN Adaptations
  • Text-to-speech on every question screen (speaker icon, top right)
  • Extended time: 1.5× or 2× per student — set by teacher in dashboard before quiz starts
  • Voice-to-text available on Q3, Q4 and Q5 text fields (microphone icon)
  • All feedback text uses plain language with no unexplained jargon
  • Completion card read-aloud button available
🖨️ No-Tech Format
  • Teacher reads all 5 questions aloud — Q1 and Q2 use A/B/C/D response cards
  • Q3, Q4 and Q5 answered on a printed answer sheet
  • Teacher marks Q1–Q2 immediately; collects Q3–Q5 sheets for later review
  • Completion certificate printed and handed to each student
📊 Teacher dashboard — marking Q3–Q5
  • Q3 and Q4 responses appear in the teacher dashboard with the rubric criteria pre-loaded as checkboxes — teacher taps criteria, total auto-calculates
  • Q5 (AI ethics) has a 5-point rubric focused on nuance and lesson-specific examples
  • Final total score (auto-marked + teacher-reviewed) sent to student portfolio after teacher completes marking
  • CSV export: per-student scores + text responses + class summary available immediately after the lesson