## TL;DR
AI is transforming education through intelligent tutoring systems that adapt to individual learners — diagnosing knowledge gaps, generating personalized exercises, and providing real-time feedback. LLMs enable conversational tutoring at unprecedented scale.

## Core Explanation
Traditional ITS (Intelligent Tutoring Systems) used cognitive models and rule-based expert systems. Modern AI-powered ITS: (1) Knowledge tracing — Bayesian networks or deep learning track what a student knows; (2) Adaptive content — generate exercises at the right difficulty level; (3) Conversational tutoring — LLM engages in Socratic dialogue; (4) Automated assessment — grading essays, code, and mathematical proofs with rubrics.

## Detailed Analysis
LLM applications in education: writing feedback (suggest improvements, not just corrections), math tutoring (step-by-step reasoning verification), language learning (conversational practice with grammar correction), and coding education (explain errors, suggest fixes). Challenges: hallucination risk in educational content, over-reliance reducing critical thinking, and digital divide exacerbating educational inequality. The 2026 "AI Agent Era" is shifting education toward multi-agent systems.

## Further Reading
- Khan Academy: Khanmigo (GPT-4 tutoring)
- Duolingo Max: AI-powered language learning
- Getting Smart: AI in Education Report