AI in Education

Lesson goals

• Level-based personalization
• Teacher preparation support
• Cheating and overreliance risks

Core idea

Personalization, explanation, and assessment with teacher oversight.

1. Level-based personalization: understand it in context, identify inputs and outputs, and define how the result will be verified.

2. Teacher preparation support: understand it in context, identify inputs and outputs, and define how the result will be verified.

3. Cheating and overreliance risks: understand it in context, identify inputs and outputs, and define how the result will be verified.

Practical example

Consider a real application of “AI in Education.” Start small, identify available data, and compare the system with a clear baseline before expanding it.

Check your understanding

1. Explain “AI in Education” in your own words.
2. Give one appropriate and one misleading application.
3. What risk or limitation should be monitored?