Generative AI Knowledge Mapping for Personalized Gap-Filling Content

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Solution Overview

Problem

Existing knowledge platforms are often static, outdated, and require users to navigate complex databases for relevant content, failing to engage users, adapt to their needs, and lack comprehensive feedback systems and effective monetization strategies.

Innovation Solution

A generative AI-driven system that creates a knowledge map, identifies user gaps, and generates tailored, up-to-date content using generative AI, incorporating feedback for continuous improvement and monetization through advertising.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If existing knowledge platforms provide comprehensive libraries of presentations, articles, and papers, then users have access to extensive knowledge materials, but users must navigate and find content themselves, placing the burden on the user to locate relevant information in an expanding database

Engineering Contradiction:

Improvequantity of knowledge materialsVSAvoidease of content location

Core Design Contradiction:

Quantity of substanceVSEase of operation

Solution Approach 1:

The system performs self-service by automatically analyzing user profiles, comparing against knowledge maps, identifying knowledge gaps, and curating personalized content collections without requiring users to manually search or navigate the database

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The manual navigation and content discovery process is replaced by an automated intelligent system that uses machine learning models to analyze user needs, map knowledge gaps, and retrieve relevant content automatically

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Ease of manufacture

If knowledge platforms maintain static content libraries, then content can be stored and managed easily, but the content quickly becomes outdated in rapidly changing fields

Engineering Contradiction:

Improveease of content managementVSAvoidcurrency of knowledge content

Core Design Contradiction:

Ease of manufactureVSReliability

Solution Approach 1:

The system transitions from static content delivery to dynamic content generation by continuously monitoring field changes, updating knowledge maps, and generating new personalized content based on current user needs and emerging information in rapidly changing fields

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system performs preliminary actions by proactively monitoring changes in fields, updating knowledge maps in advance, and preparing personalized content before users request it, ensuring content currency without requiring manual updates

Inventive Principle:

Principle #10Preliminary action

3Device complexity

If platforms require users to navigate expanding databases themselves, then platform complexity remains low, but users may miss required coursework or emerging technologies and practices in their industry

Engineering Contradiction:

Improveplatform navigation complexityVSAvoidmissed knowledge content

Core Design Contradiction:

Device complexityVSLoss of information

Solution Approach 1:

The system implements feedback loops by continuously monitoring user progress, comparing against required knowledge maps, identifying gaps in real-time, and notifying users of missed coursework or emerging technologies they should be aware of

Inventive Principle:

Principle #23Feedback

4Device complexity

If platforms provide static content without adaptive features, then system complexity is reduced, but user engagement and adaptation to evolving needs are insufficient

Engineering Contradiction:

Improvesystem adaptability complexityVSAvoiduser-specific content adaptation

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The system dynamically changes content parameters including format, depth, and focus based on user profiles, learning preferences, and identified knowledge gaps, transforming static content delivery into adaptive personalized content generation

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system applies local quality by tailoring content characteristics to specific user needs and contexts, providing different types of content (presentations, articles, quizzes, simulations) based on individual user profiles and identified knowledge gaps

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20260073246A1Generative ai-driven system for agile educational content creation and management in rapidly changing and high-stakes fields

Publication Date: 2026.03.12 ZYGLIO INC

AI summary

A method for creating and managing knowledge-based content using generative artificial intelligence (AI) includes: storing one or more profiles including a user identifier and a user knowledge-based history for one or more knowledge-based topics; storing one or more knowledge maps for an knowledge-based topic including at least links between concepts of an knowledge-based topic and knowledge-based material items; receiving a content request from a computing device, the content request including a user identifier and an knowledge-based topic; identifying a user profile of the one or more user profiles including the user identifier of the content request; identifying a knowledge map of the one or more knowledge maps matching the knowledge-based topic of the content request; identifying one or more user knowledge gaps; generating one or more new knowledge-based material items for addressing each of the identified one or more user knowledge gaps using a generative machine learning model.