# AI in Education

AI is reshaping classrooms, assessment, and learning support. This sub-article is an application-domain article under [Recent Topics](../recent.md).

## Tutoring and Personalized Learning
- AI tutors provide step-by-step help and adaptive practice.
- Systems can identify misconceptions and tailor questions.

## Writing and Assessment
- Students use AI for essays, coding, and problem sets.
- Plagiarism detection is imperfect; policy ranges from banning to embracing AI-assisted work.
- Assessments are being redesigned to measure genuine understanding.

## Teacher and Administrative Support
- AI assists lesson planning, grading, and analytics.
- Risks: bias in grading, over-reliance, and privacy of student data.

## Equity and Access
- AI can widen access to tutoring, but also widen gaps if tools require paid subscriptions or devices.
- Language and disability access improve with multimodal AI.

## Policy Questions
- Should AI be allowed in exams? How is data protected?
- What role do teachers play in verifying AI outputs?

## Why It Matters
Education shapes the next generation's skills and trust in AI; decisions here are high-stakes.

## Sources
- UNESCO. *Guidance on generative AI in education* (2023).
- Khan Academy. *Khanmigo* documentation.

*Back to [Recent Topics](../recent.md).*