Original problem
An original problem is one the student identified themselves, with evidence that it matters to someone.
AI for Kids · Class 10 · Module 9 of 9
Portfolio Capstone
One original problem. One documented solution. One presentation you can stand behind.
8 sessionsSessions 65–72
4 weeksTypical pace
AppliedLevel
Class 10Artificial Intelligence
The big idea
The final capstone requires an original problem, an iteratively built solution, complete documentation of the decisions and their reasoning, and a public demonstration under questioning.
Why it matters
This is the artefact that evidences the whole pathway — far more persuasive to a school, university or employer than any certificate.
Unpacked
What you will actually learn
Three core ideas, each taught with worked examples and then practised until it feels obvious.
Iterative build
Iterative building means visible versions, tested and improved, with the reasoning behind each change recorded.
Public demonstration
Public demonstration means presenting to a genuine audience and answering unrehearsed questions.
Did you know?
Admissions and hiring panels consistently report that a candidate who can explain their decisions outperforms one with a more impressive project they cannot discuss.
Common mix-up
“The final version is what matters.” The reasoning across versions is what demonstrates capability. Keep and show the earlier ones.
Session by session
Your 8-session journey
Sessions 65–72 of the 72-session year, at two one-hour sessions per week.
- 1
Warm-up and big picture
Where this module fits, what you will build, and a hands-on starter that gets everyone curious about original problem.
- 2
Original problem
Guided teaching on original problem, worked through together with the teacher.
- 3
Original problem — practice lab
Independent practice, small challenges and one deliberate mistake to diagnose.
- 4
Iterative build
Guided teaching on iterative build, building directly on the previous two sessions.
- 5
Iterative build — practice lab
Applied tasks that combine original problem and iterative build in one piece of work.
- 6
Public demonstration
Public demonstration introduced and practised, completing the toolkit needed for the project.
- 7
Project build
Guided build session for the module project: Documented AI solution and portfolio presentation.
- 8
Test, present and reflect
Finish, test against the checklist, present the work and explain the decisions behind it.
Project lab
Documented AI solution and portfolio presentation
Every module ends with something the student built themselves and can demonstrate. This is the piece that goes into their portfolio and gets explained out loud at the end of session 72.
Try this at home
Keep a decision log: every significant choice, the alternatives, and why you chose. It becomes the strongest part of your presentation.
It is finished when
- It works from start to finish without breaking
- You can explain every part of it in your own words
- You tested it and improved at least one thing afterwards
- Someone else used or understood it without your help
By the end of this module
Students finishing Module 9 can:
- Explain and use original problem without prompting
- Explain and use iterative build without prompting
- Explain and use public demonstration without prompting
- Build and finish documented ai solution and portfolio presentation
- Test your own work and correct what you find
- Talk an adult through what you made and why
Word bank
The vocabulary introduced here, in plain language:
- decision log
- A record of choices and their reasoning.
- iteration
- One cycle of building, testing and improving.
- portfolio
- Curated work evidencing what you can do.
Module challenge
Think you have got this?
0 XPLevel 1 · Curious Beginner
6 quick questions drawn from this module — vocabulary, the project you build, and a myth-or-fact round. Every wrong answer explains itself, so a mistake still teaches you something.
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