Prepform is built on the idea of a study plan, where you:
1. Take a diagnostic test
2. Set a target score
3. Create a study schedule
4. Identify mistakes, and finally,
5. Review mistakes.<p>I wanted to take this structure and personalize it for each student using machine learning, spaced repetition, and data visualization.<p>Students first take practice tests, then analyze their mistakes using the data visualization tools. Then they log their mistakes, where they answer “What did I do wrong?”, “What should I have done instead?”, and “What is the clue in this question that I missed?”. This is the key here, since reviewing mistakes is where the bulk of learning happens.<p>Lastly, the mistakes will be shown again at appropriate intervals, and included in future practice tests.<p>The app is currently training the AI model, which will be used to predict the odds of a student answering a question correctly.