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AI Tutoring & Personalized Learning

Overview
Bloom's "2 Sigma Problem" states that students tutored one-on-one perform two standard deviations better than classroom students. AI makes one-on-one tutoring scalable and free.

Capabilities

1. Socratic Method
Instead of giving the answer, the AI asks guiding questions.
*Prompt*: "I don't understand photosynthesis. Teach me like a 10 year old, but don't just tell me. Ask me questions to help me figure it out."

2. Personalized Analogy
"Explain the TCP handshake using a Basketball analogy."

3. Feedback Loop
"Here is my essay. Correct the grammar, but also explain *why* I made those mistakes so I can learn."

Khan Academy (Khanmigo)
Khan Academy integrated GPT-4 to act as a deeply integrated tutor, checking math steps line-by-line.

Risks
- Hallucination: Teaching wrong facts can be dangerous.
- Cheating: Students using AI to do the work instead of learning.

AI shifts education from "Factory Model" (One size fits all workflow) to "Personalized."