Digital Twin Learning Agent
A learning twin for a child. A wearable is on at school and during study at home. What the child meets is stored first, and AI judges mastery. Study follows the current textbooks. Review follows a forgetting curve. Wrong answers are collected and analyzed. Parents see mastery and the plans.
What a child has actually mastered is what they met at school and while studying at home. Digital Twin Learning Agent turns those encounters into a knowledge state. Study and review both grow from it.
Capture
The child wears the device. It is on mainly during school, and during study at home. What they meet goes into a database first.
Judgment
AI reads those records and judges what is mastered, what was only seen, and what is being forgotten.
Plans
The study plan follows the current textbooks. The review plan follows a forgetting curve and brings back what is about to slip. Parents see mastery, and both plans.
Wrong answers
AI builds the set of wrong answers and reads which kind of knowledge failed. That judgment is written back into mastery.