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AI literacy education for kindergarteners aged 3–6 (K1, K2, K3) · Taught in Mandarin · Small classes of 12–16 students

🌟 AI Explorers — Foundation Course (人工智能启蒙课)

Ages: K1–K3 (3–6 years)  |  Lessons: 32 (2 semesters × 16)  |  Duration: ~35 mins per lesson  |  Screen time: ≤15 mins/lesson

Semester 1: Discovering AI — Lessons 1–16

Children embark on an animated adventure with robot friends Bairui (百睿), Jimmy (吉米) and Dahuang (大黄):

  • Lessons 1–2: Meet the Robots — What is a robot? How do they take different shapes and serve different purposes?
  • Lesson 3: Does a Robot Have a Brain? — Memory, identity, and what makes AI intelligent
  • Lesson 4: The Chip Magician (芯片魔法师) — What is a chip and how does it work?
  • Lesson 5: The Digital World (数字世界) — Everything becomes 0s and 1s
  • Lessons 6–7: Memory & Pixels (记忆与像素) — How AI sees and remembers images
  • Lessons 8–9: Colour World & Binary (彩色世界/二进制) — Image recognition and binary numbers
  • Lesson 10: The Secret of 0 and 1 — Data, text, and language representation
  • Lesson 11: A Special Language — What is computer language?
  • Lesson 12: What is Programming? (编程是什么) — Instructions that bring robots to life

Semester 2: Thinking Like a Programmer — Lessons 13–32

Children learn the thinking frameworks that power all programming — skills that help in everyday life, not just tech:

  • Lessons 13–14: Decomposition Thinking (分解思维) — Breaking big problems into small steps
  • Lessons 15–16: Abstraction Thinking (抽象思维) — Finding patterns, sorting and classifying
  • Lessons 17–18: Sequential Thinking (顺序思维) — Order matters; every step counts
  • Lessons 19–20: Pattern Recognition (规律思维) — Finding rules in nature and daily life
  • Lessons 21–22: Loop Thinking (循环思维) — Repetition and efficiency
  • Lessons 23–24: Conditional Thinking (条件思维) — If this… then that (traffic lights!)
  • Lessons 25–26: Function Thinking (函数思维) — Reusing solutions cleverly
  • Lessons 27–28: Variable Thinking (变量思维) — Creativity through change
  • Lessons 29–30: Debugging Thinking (调试思维) — Finding and fixing mistakes calmly
  • Lesson 31: Algorithm Thinking (算法思维) — Planning for every possibility
  • Lesson 32: 🎓 Graduation Party — Celebration, awards and graduation certificate!

Each lesson includes: Animated story + Interactive digital game + Hands-on craft activity (screen-free)

🤖 AI Innovators — Advanced Course (仿生机器人课)

For: Graduates of the Foundation Course  |  Lessons: 32 (16 themes × 2 lessons)  |  Now Available!

Take learning to the next level with hands-on bionic robot building:

  • 16 bionic themes: Snake → Bird → Dog → Crab → Spider → Caterpillar → Humanoid Robot
  • Each theme: 1 creative lesson + 1 hands-on build lesson
  • Format: Biomimicry concepts + LEGO-style building + card-based programming
  • Guided by CASIA AI experts Prof. Zhang Zhaoxiang & Prof. Zhang Sen