Content Encapsulation Structure for Decentralized Online Education
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Solution Overview
Problem
Conventional centrally-managed server-client methods for online education systems are inflexible, costly, and difficult to maintain, lacking the ability to provide diverse learning environments and requiring substantial IT skills for decentralized service implementation.
Innovation Solution
A content encapsulation structure that uses unique identification information (URL and URN) stored in metadata units, allowing the capsule engine to retrieve content entities from external storage, enabling decentralized architecture and reducing system development and maintenance burdens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a centrally-managed server-client method is used to provide online education services, then system stability and service reliability are improved, but device complexity and development costs increase
Solution Approach 1:
The patent segments the centralized education support system into multiple independent capsules, each encapsulating specific learning content and functions. These capsules can be independently developed, deployed, and managed, reducing overall system complexity while maintaining service reliability through distributed operation.
Solution Approach 2:
The patent introduces a capsule engine as an intermediary component that manages the execution and coordination of multiple capsules. This intermediary layer abstracts the complexity of managing diverse learning resources, allowing the system to maintain reliability without requiring complex centralized management infrastructure.
2Adaptability or versatility
If a centrally-managed server system is used to support diverse learning environments, then service coverage is improved, but adaptability to individual educational needs deteriorates
Solution Approach 1:
The patent divides the education support system into modular capsules, where each capsule represents a self-contained learning unit with specific functionality. This segmentation allows different capsules to be selectively assembled to create customized learning environments tailored to individual educational needs without requiring complex system-wide reconfiguration.
Solution Approach 2:
The patent enables adaptability by allowing capsules to be dynamically selected, added, or removed based on specific learning requirements. This parameter-based configuration approach allows the system to adapt to diverse educational needs by changing which capsules are active, rather than requiring complex structural modifications to the entire system.
3Ease of operation
If content is distributed via network download, then accessibility is improved, but distribution cost and time increase for large files
Solution Approach 1:
The patent segments large content files into smaller capsule units that can be distributed independently. This segmentation enables partial downloading and incremental loading of content, reducing the time and bandwidth required for initial distribution while maintaining full accessibility of the complete learning material.
Solution Approach 2:
The patent employs local caching and copying mechanisms where frequently accessed capsule content is stored locally on user devices. This reduces the need for repeated network downloads, significantly decreasing distribution time for subsequent access while maintaining easy accessibility to the content.
Data Source
AI summary
The present invention encapsulates content and provides the encapsulated content to a use. A capsule stores identification information in structure information in a metadata unit thereof, and identification information such as URL and URN is stored therein. A capsule engine unit decodes the identification information. In the case of URL, the capsule engine unit directly obtains the entity of data or programs constituting the content from a server, which is an external storage. In the case of URN, the capsule engine unit inquires URL to a dictionary server such as a metadata repository, and obtains the URL from the server. Therefore, it is not necessary to install the entity of data or programs in a data cache unit, and it is possible to easily deliver and distribute the capsule.