Plugin System and Pathway Architecture for Learning Applications
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Solution Overview
Problem
Existing educational content systems lack the ability to create customizable learning pathways in real-time, limiting their effectiveness in maximizing learning potential.
Innovation Solution
A system and method that utilize server and client hardware devices connected via a network to store and generate content plugins, create a graphical user interface for selecting and defining plugins, relationships, and navigation rules, and produce customized learning course content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing educational content systems are used, then content delivery is straightforward, but the ability to create customizable learning pathways in real-time is limited
Solution Approach 1:
The system segments learning content into discrete plugins that can be independently selected, combined, and configured. Each plugin represents a modular unit of content that can be assembled into custom pathways, enabling flexibility without requiring complete system redesign for each learning scenario.
Solution Approach 2:
The system enables dynamic configuration of learning pathways in real-time through the graphical user interface, allowing content creators to define relationships and navigation rules between plugins as needed. The pathways can be generated and modified dynamically rather than being static pre-configured structures.
2Adaptability or versatility
If a comprehensive plugin selection and configuration system is implemented, then learning pathway customization is enhanced, but the time required for content creation increases
Solution Approach 1:
Plugins are pre-configured with their own metadata, relationships, and navigation rules before being made available in the system. This preliminary preparation allows content creators to simply select and combine existing plugins rather than creating everything from scratch, significantly reducing content creation time while maintaining customization capabilities.
Solution Approach 2:
The graphical user interface provides universal tools and templates that can be applied across different learning pathways. Common configuration patterns and pre-defined relationships allow content creators to efficiently assemble custom pathways using standardized interfaces, reducing the time required for repeated configuration tasks.
3Productivity
If real-time generation of learning pathways is enabled, then learning potential is maximized, but system processing requirements increase
Solution Approach 1:
The system processes pathway generation in segments by handling each plugin's configuration and relationship definition independently. This segmented approach allows the system to process smaller units of data concurrently, reducing overall processing time and resource requirements while maintaining real-time generation capability.
Solution Approach 2:
The system generates only the necessary pathway configurations and relationships required for the specific learning scenario, rather than processing all possible content combinations. This partial generation approach focuses computational resources on the actual content creation task at hand, improving efficiency while enabling real-time pathway generation.
Data Source
AI summary
Systems and methods of the present invention provide for: storing a plurality of content plugins; generating a graphical user interface (GUI) including components for: selecting a subset of plugins, defining a relationship between the plugins in the subset, and defining a custom pathway through the subset, including rules or conditions for navigation; receiving, from the content creator client device, selection of the subset, the relationship, and the rule or condition; generating, from the subset, relationship, and rule or condition; and transmitting to client devices for display, a learning course content for a learning application.