AI Education Platform with Graph-Based Q&A System
Summary
USPTO published patent application US20260100142A1 filed by Nicholas X. Wang on October 4, 2024. The application covers an AI-driven education platform using graph-based question-answering with an Intuitive Level Metric (ILM) optimization system. The invention generates causal graphs from multiple-choice questions and uses machine learning to produce answers alongside step-by-step visual instructions. CPC classifications include G09B 7/06 (electrically-operated education appliances) and G06N 20/00 (machine learning).
What changed
USPTO published a patent application for an AI education platform that generates causal graphs corresponding to educational questions and uses machine learning to produce answers with visual step-by-step guidance. The system incorporates an Intuitive Level Metric (ILM) to optimize the difficulty and presentation of educational content.
Entities developing AI-powered educational software or interactive learning platforms may benefit from reviewing this published application to assess potential overlap with their own technologies or to identify potential licensing opportunities. Patent applications do not create immediate compliance obligations but establish prior art that may affect future patent prosecution in this technical space.
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Apr 18, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Intuitive graph guided question-answer for interactive education experiences
Application US20260100142A1 Kind: A1 Apr 09, 2026
Inventors
Nicholas X. Wang
Abstract
An intuitive optimized method for answering a question with graphical guided steps includes: setting or adjusting an Intuitive Level Metric (ILM); receiving a question with multiple choice answers; generating a causal graph corresponding to the question; transforming both the question and the causal graph into a concatenated text stream and embedding; inputting the embedded stream into an ILM-optimized machine learning module to generate an output text; processing the output text stream to generate an answer and a list of pairs of text steps and drawing commands; processing the list of pairs sequentially, first rendering the text step and then creating a drawing based on the command; and outputting the final answer choice.
CPC Classifications
G09B 7/06 G06N 20/00
Filing Date
2024-10-04
Application No.
18831236
Named provisions
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