Learning Graph System for Adaptive Training Content
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Solution Overview
Problem
Traditional learning management systems are restrictive, static, and inefficient in providing customized learning content to employees, struggling to keep pace with rapid changes and requiring significant resources for content maintenance, while employees often lack awareness of necessary learning materials.
Innovation Solution
A computer automated learning management system utilizing a learning graph to represent user information and content, enabling personalized learning paths and content recommendations through algorithms and statistical analysis, integrating external sources and reducing internal content production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional compliance-based learning systems are used to ensure employees have appropriate training, then training completion can be tracked and enforced, but the system becomes restrictive, static, and simplistic limiting employee reach and reaction time to new trends
Solution Approach 1:
The patent transforms static compliance-based learning systems into dynamic adaptive systems that continuously evolve based on employee behavior, organizational goals, and emerging trends. The system dynamically generates personalized learning paths, updates content recommendations in real-time, and adapts to changing organizational needs, thereby maintaining reliability while significantly improving adaptability and employee reach.
Solution Approach 2:
The system changes key parameters from fixed compliance requirements to flexible, personalized learning parameters. It adjusts learning content, pace, format, and recommendations based on individual employee characteristics, organizational priorities, and emerging trends, allowing the system to maintain training effectiveness while expanding adaptability and responsiveness to new developments.
2Reliability
If internal learning content is produced and maintained to ensure relevance, then content quality can be controlled, but production costs are expensive and content becomes obsolete fast
Solution Approach 1:
The patent creates a multi-functional learning management system that serves multiple purposes: curating external content, personalizing learning paths, tracking compliance, and adapting to organizational needs. This universal system reduces the need for expensive internal content production by efficiently leveraging external resources while maintaining quality control through intelligent curation and personalization algorithms.
Solution Approach 2:
The system acts as an intermediary between external content sources and employees, intelligently curating, filtering, and personalizing content from various external sources. This intermediary function maintains content quality and relevance without requiring expensive internal content production, as the system automatically selects and adapts external content to meet organizational requirements.
3Adaptability or versatility
If computerized identification of relevant learning content is implemented to provide customization, then personalized learning can be achieved, but computational costs are likely high and meaningful results are uncertain
Solution Approach 1:
The patent implements preliminary action by pre-processing and organizing learning content, employee profiles, and organizational requirements into structured formats before actual learning recommendations are generated. This preliminary structuring enables faster, more efficient personalized recommendations with reduced computational costs during runtime, as the heavy lifting of content analysis and organization is performed in advance.
Data Source
AI summary
The present disclosure includes techniques pertaining to computer automated learning management systems and methods. In one embodiment, a system is disclosed where information is represented in a learning graph. In one embodiment, a framework may be used to access different algorithms for identifying customized learning content for a user. In another embodiment, the present disclosure includes techniques for analyzing content and incorporating content into an organizational glossary.