Hypertext Modularization for E-Learning Reusability
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Solution Overview
Problem
Current e-learning authoring systems lack the ability to modularize content effectively, making it difficult to reuse specific parts of e-learning courses due to their physical structure, which is often disorganized and lacks proper organizational structure information.
Innovation Solution
A method for modularizing arbitrary structured hypertext that decomposes content into separate modules based on both physical and organizational structure descriptions, using a combination of Greedy and Divide-and-Conquer algorithms to create well-defined boundaries, allowing for reusable and invocable modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If e-learning content is organized with proper organizational structure information from the beginning, then reusability of content modules is improved, but the complexity of content creation and structuring increases
Solution Approach 1:
The patent segments e-learning content into modular units with defined boundaries based on organizational structure information. Content is divided into reusable modules that can be independently selected and assembled, transforming a monolithic structure into separable, reusable components that maintain organizational context.
Solution Approach 2:
The patent performs preliminary modularization by pre-processing content during the initial creation phase to establish organizational structure information and module boundaries. This advance structuring enables future reuse without requiring complete restructuring, as the modular architecture is prepared in advance.
2Ease of manufacture
If e-learning content is created without modular structure, then content creation process is simpler and faster, but reusability of specific content parts is restricted
Solution Approach 1:
The patent implements self-service modularization through automated algorithms that analyze organizational structure information and identify module boundaries without requiring manual intervention. The system automatically decomposes content into reusable modules, eliminating the need for creators to manually structure content while preserving reusability.
Solution Approach 2:
The patent changes the structural parameters of e-learning content by introducing organizational structure information as a new dimension for content organization. This transformation converts flat, non-modular content into hierarchically structured modules with defined boundaries, enabling reuse while maintaining creation simplicity.
3Adaptability or versatility
If manual extraction of specific files is performed to reuse content, then reusability is achieved, but tremendous effort and time are required
Solution Approach 1:
The patent replaces manual mechanical extraction processes with automated computational algorithms. The system uses algorithms to automatically analyze organizational structure information, identify module boundaries, and extract reusable content modules, substituting human effort with automated processing that operates rapidly without manual intervention.
Solution Approach 2:
The patent introduces organizational structure information as an intermediary layer between the raw content and the reuse process. This intermediary structure enables automated identification and extraction of modules, serving as a bridge that allows the system to efficiently locate and retrieve specific content without manual searching or extraction.
4Adaptability or versatility
If complete courses are imported for content reuse, then reusability is achieved, but the effort of importing and integrating large amounts of content increases
Solution Approach 1:
The patent extracts specific reusable modules from larger course contexts by analyzing organizational structure information. Instead of importing complete courses, the system identifies and extracts only the necessary modules based on their organizational boundaries, separating needed content from unnecessary portions and reducing integration complexity.
Solution Approach 2:
The patent segments large course content into smaller, independently reusable modules with clear boundaries. This segmentation allows users to import and integrate only the specific modules needed rather than entire courses, reducing the complexity and volume of content integration while maintaining reusability.
Data Source
AI summary
A method for performing a modularization of an arbitrary structured hypertext with a physical structure and an organizational structure description is disclosed. The hypertext is decomposed into a set of separate modules with specific definable boundaries based on both, the physical structure and the organizational structure description, each module of the set of modules is computed methodically and gradually with respect to coaction with the other modules until forming a completed functional unit reusable and invocable separately. Furthermore, a corresponding hypertext, a module, a computer system, a computer program product and a computer program are disclosed.