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This invention describes an online learning system that tests users with multiple-choice questions. Uniquely, users don't just pick an answer; they also indicate how confident they are in their choice, even allowing for partial confidence or uncertainty. The system then uses this confidence alongside correctness to build a detailed profile of what the user knows and where their knowledge gaps are, and then guides them to learn specifically what they need to improve.
Why it matters: Filed before the widespread adoption of sophisticated AI in education. Today, AI and machine learning can significantly enhance the system's ability to dynamically generate or curate personalized learning materials based on the detailed knowledge profiles, making the "encouraging learning" aspect much more effective and scalable.
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