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AI & Machine Learning Worksheet

🤖 History of AI

Chapter: AI & Machine Learning · Level ★★☆ · Time: 30 min
SCORE___ / 20
NameClassDate
After this worksheet you can
Key eras of AI historyWhat AI winters wereWhy deep learning explodedThe role of data + compute
📚 Quick Recap

If you only learned about AI from the last few years of news, you'd assume it appeared out of nowhere around 2022. It didn't. The field is over 70 years old, and it has already been through two major periods of hype followed by disappointment — periods researchers literally call "AI winters." Understanding that history isn't just trivia. It's what lets you tell the difference between genuine progress and the next hype cycle, because this won't be the last one.

🧠 Section A · Concept Check ● BEGINNER 4 × 1 = 4

1The term artificial intelligence was coined around:
2Funding/interest crashes are called AI:
3The 2012 deep-learning boom was sparked by:
4Deep Blue beat Kasparov at:

🧮 Section B · Problem Solving ● INTERMEDIATE 2 + 3×3 = 11

5AI winters were caused by expectations.
6Modern AI needs big data and cheap .
7Name the 3 ingredients of the modern AI boom.
8What lesson do AI winters teach?
9Why did neural nets fail in the 90s but win in 2012?

🚀 Section C · Challenge ● CHALLENGE 5

10One milestone per decade 1990s-2020s?
💭 Reflection — the most useful thing I learned:
A ___/4   B ___/11   C ___/5   Total ___/20 Teacher's Signature Parent's Signature
✂ answer key — fold or cut before handing out

1-A   2-A   3-A   4-A  |  5 overhyped/unmet   6 compute/GPUs   7 = Big data, GPU compute, better algorithms (deep nets)   8 = Hype beyond capability leads to crashes - manage expectations   9 = Not enough data/compute back then  |  10 = Deep Blue 97, ImageNet 2012, AlphaGo 2016, ChatGPT 2022

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