Renaissance Learning, Inc. (20240233565). Automated Alignment of Education Content simplified abstract

Automated Alignment of Education Content

Organization Name

Renaissance Learning, Inc.

Inventor(s)

Ajay Mathew of Vancouver WA (US)

Julianne Robar of Lac des Loups (CA)

Zecheng Chang of Long Island City NY (US)

Bruce Bray of Camas WA (US)

Jon Medin of Nerstrand MN (US)

Selvedin Alic of Eagan MN (US)

Robert Zieroth of Wisconsin Rapids WI (US)

Eric Stickney of Waunakee WI (US)

Eric Swanson of Waunakee WI (US)

Jon Stelman of Brooklyn NY (US)

Automated Alignment of Education Content - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240233565 titled 'Automated Alignment of Education Content

The abstract describes a system and methods that automate and facilitate the alignment of educational content from diverse sources. This system enhances automated content connections by creating models that align educational content, including specific questions and instructional plans, independently or through a knowledge graph. The system compares content sets for text matches and semantic meaning, evaluating academic standards and educational goals.

• Automated system for aligning educational content from diverse sources
• Creation of models to facilitate content alignment, including questions and instructional plans
• Comparison of content sets for text matches and semantic meaning
• Evaluation of academic standards and educational goals
• Use of a knowledge graph for alignment

Potential Applications: This technology can be used in educational institutions, e-learning platforms, and content creation companies to streamline the alignment of educational content and improve the quality of learning materials.

Problems Solved: This technology addresses the challenge of manually aligning educational content from various sources, saving time and improving the accuracy of content connections.

Benefits: - Increased efficiency in aligning educational content - Improved accuracy in matching content for educational purposes - Enhanced quality of learning materials - Streamlined content creation processes

Commercial Applications: "Automated Educational Content Alignment System for E-Learning Platforms"

Questions about the technology: 1. How does this system handle imperfect matches in educational content alignment? 2. What are the key features that set this technology apart from manual content alignment methods?

Original Abstract Submitted

some embodiments of a system and methods that automate and facilitate the alignment of educational content from diverse sources are disclosed. this system and methods facilitate and enhance automated content connections. they are configured to create models that automate and facilitate the alignment of educational content from diverse sources, ranging from specific questions to instructional plans. these may be aligned independently or through a knowledge graph. this alignment includes jurisdiction dependent definitions of educational goals, such as standards and learning objectives. model inputs include one content set being assimilated and associated metadata persisted in a data store where another content set can be added for comparison. content is evaluated for perfect text matches and also imperfect matches that are close in semantic meaning. the system's algorithm compares multiple products, their education units of information, and academic standards as designated between various agencies. the results are provided in a user interface.