Workbook preview

Student Learning & Project Tracker

This page shows what is inside the tracker. Download the Excel version if you want to fill in your own session notes, learning progress, and projects.

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Dashboard

Learning modules

Dashboard

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Sessions logged

Dashboard

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Projects completed

Dashboard

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Resources explored

Learning Plan sheet

A simple lesson sequence

Module	Goal	Key skills	Suggested activity
Computational Thinking	Break problems into clear steps	Decomposition; algorithms; patterns	Write steps for a familiar daily task
Python Basics	Understand variables and output	Variables; strings; numbers; print()	Create a small profile or calculator
Decisions in Code	Make a program choose what to do	if/else; Boolean logic	Build a simple quiz rule
Loops	Repeat work efficiently	for loops; range()	Generate a number pattern
Functions	Reuse code and organize logic	Parameters; return values	Turn repeated steps into a function
AI Foundations	Explain what an AI model is and is not	Training data; models; inference	Compare rules with an ML example
Responsible AI	Use AI critically and safely	Verification; privacy; bias; hallucinations	Improve and verify an AI response
No-Code ML	Train and test a simple classifier	Examples; labels; testing	Use Teachable Machine with safe objects
Mini Project	Build something small and explainable	Planning; testing; presentation	Build a quiz, webpage, or tracker

Project Tracker

Study Quiz

Can I make practice more interactive?

Skills: Python; conditions; loops

First milestone: Write 5 questions

Community Information Page

Can useful school links be easier to find?

Skills: HTML; organization; writing

First milestone: Sketch the page

Teachable Machine Experiment

How does training data affect model behavior?

Skills: AI concepts; testing; reflection

First milestone: Choose safe categories

Other workbook sheets

Session Log: date, topic, volunteer or mentor, format, what happened, one thing learned, and one remaining question.

Confidence: students can rate confidence from 1–5 as they move through the learning plan.

Resource Library: AI, coding, robotics, school, and career links with an “explored?” column.

Reflection: a prompt asks students to explain one thing they can understand now that they could not explain before.

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