Acapedia, LLC (20240346946). MASS GENERATION OF CONTENT FOR EDUCATION APPLICATIONS simplified abstract
Contents
MASS GENERATION OF CONTENT FOR EDUCATION APPLICATIONS
Organization Name
Inventor(s)
Alexander S. Pasciak of Katy TX (US)
MASS GENERATION OF CONTENT FOR EDUCATION APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240346946 titled 'MASS GENERATION OF CONTENT FOR EDUCATION APPLICATIONS
Simplified Explanation: The patent application describes a system for generating educational content by web-scraping learning materials, processing them with neural networks, summarizing the content using AI, and generating questions and answers for an education application.
Key Features and Innovation:
- Periodically web-scraping a repository of learning content
- Storing learning content and corresponding information
- Language processing learning content with a neural network architecture
- Using AI or machine learning to summarize the content
- Using AI or machine learning to generate questions and answers based on the content
Potential Applications: This technology can be applied in educational platforms, e-learning systems, training programs, and knowledge management systems.
Problems Solved: The technology streamlines the process of generating educational content, improves content summarization, and enhances question generation for educational purposes.
Benefits:
- Increased efficiency in content generation
- Enhanced content summarization
- Improved question generation for educational applications
Commercial Applications: The technology can be utilized in online learning platforms, corporate training programs, educational apps, and content creation tools for educators.
Prior Art: Readers can explore prior art related to web scraping, neural network language processing, AI content summarization, and question generation algorithms.
Frequently Updated Research: Stay informed about advancements in web scraping techniques, neural network architectures for language processing, AI algorithms for content summarization, and question generation methods.
Questions about Education Content Generation: 1. How does the use of neural networks improve the language processing of learning content? 2. What are the potential challenges in using AI for generating questions and answers based on educational content?
Original Abstract Submitted
systems, devices, methods, and instructions for generation of content for an education application, including periodically web-scraping a repository of learning content, storing the learning content and corresponding information, language processing the learning content using a neural network architecture, using artificial intelligence or machine learning to summarize the learning content, and using artificial intelligence or machine learning to generate one or more questions and answers for the education application based on the learning content.
