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العمر 12 | Grade 6-7
الذكاء الاصطناعي لعمر 12 سنوات
The bridge year. At 12, students are ready for real machine learning concepts, basic Python, and their first AI ethics conversations.
لماذا عمر 12 هو المرحلة المناسبة
أغلب المناهج الكبرى (CSTA، AI4K12) تضع موضوعات الذكاء الاصطناعي وفق مراحل تطور محددة، ونحن نتبعها.
ML Foundations
Training, testing, accuracy — the actual building blocks.
First Python for AI
Just enough Python to load data and run a model.
Image Classification
Train a model to recognise objects from photos kids take.
AI Ethics 101
First serious conversation about bias and fairness.
ماذا سيتعلّم طفلك بعمر 12
المسار مبني على أربع وحدات، ومدّة كل وحدة نحو ثلاثة أسابيع من الدراسة الخفيفة.
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Unit 1 — What is machine learning?
Supervised learning, examples, labels. Kids see ML as pattern-finding from data.
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Unit 2 — First Python for AI
Variables, lists, and a Jupyter-style notebook. Kids run their first three Python cells.
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Unit 3 — Train an image classifier
Use Teachable Machine-style flow. Train a model on student-collected photos.
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Unit 4 — When AI gets it wrong
Real examples of bias and what to do about it. Final reflection assignment.
تعلّم مصمَّم لعمر 12
يبدأ بالقصص
كل درس يفتتح بقصة قريبة من حياة الطفل قبل تقديم المفهوم.
دروس قصيرة
الجلسات مصممة لتناسب الجدول اليومي بين المدرسة والواجبات.
محفّزة
نقاط الخبرة والأوسمة وشهادة قابلة للطباعة تحافظ على الحماس.
الأسئلة الشائعة
Is age 12 ideal for starting AI seriously?
Yes. Age 12 is when most schools introduce AI in formal curricula (CBSE AI 417, ICSE AI elective, ISTE-aligned middle school AI). Our Grade 6–7 path runs parallel to those.
Does my child need to know Python already?
No. The Grade 6–7 path teaches just enough Python to load data and run a model — three to four hours of Python total. It does not aim to make your child a Python programmer.
Is this aligned with CBSE AI 417?
Yes. The Grade 6–7 path covers the AI 417 foundational topics — AI vs. ML vs. DL, supervised learning, data types, and ethics — at the right depth for ages 11–13.
Will my 12-year-old use real tools or just simulators?
Real tools, scaled down. Students use a simplified version of Jupyter notebooks and a friendly UI on top of scikit-learn, so they touch the real workflow without the friction.
How much homework should I expect?
About 30–40 minutes per session, twice a week. Each unit ends with a small project the child finishes at their own pace over a weekend.