Resource Resolver for Adaptive Learning Format Conversion
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Solution Overview
Problem
Traditional online learning resources are not adequately accessible to users with varying device capabilities and disabilities, as they are often formatted for the general population, leading to exclusion and additional production costs for institutions to create disability-specific content.
Innovation Solution
An automated resource resolver system that selects and converts learning resources into formats accessible by the user's device based on user information and context, ensuring compatibility and accessibility for users with disabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If learning resources are provided in a single format for the general population, then production costs are reduced, but accessibility for users with disabilities and varying device capabilities deteriorates
Solution Approach 1:
The patent introduces an automated resource resolver as an intermediary component between the learning resource repository and user devices. This resolver automatically detects user needs and device capabilities, then selects or converts resources into appropriate formats. This mediator eliminates the need for manual creation of multiple format versions while ensuring accessibility for users with disabilities and varying device capabilities.
Solution Approach 2:
The system changes the format parameter of learning resources dynamically based on user characteristics and device capabilities. Instead of creating fixed versions for each user type, the resource resolver modifies resource parameters (format, resolution, accessibility features) automatically, allowing a single source resource to serve multiple user needs through parameter transformation.
2Adaptability or versatility
If learning institutions create multiple versions of content for different user needs, then accessibility is improved, but production time and effort increase
Solution Approach 1:
The patent employs automated copying and conversion mechanisms where a single master learning resource can be automatically copied and transformed into multiple accessible formats. The resource resolver system creates format variations through automated processes rather than manual production, maintaining accessibility across different user needs while preserving production efficiency through automation.
Solution Approach 2:
The system implements self-service functionality where the resource resolver automatically determines and applies the appropriate format without requiring manual intervention from content creators. The system serves itself by automatically detecting user needs, selecting suitable formats, and delivering appropriate resources, thereby eliminating the productivity burden on learning institutions.
3Ease of operation
If learning resources are delivered in formats optimized for specific device capabilities, then device compatibility is improved, but system complexity increases
Solution Approach 1:
The resource resolver is designed as a universal system that handles multiple device types, formats, and user needs through a single unified interface. Rather than requiring separate delivery systems for each device capability, the universal resolver manages format selection and conversion centrally, reducing overall system complexity while improving device compatibility.
Data Source
AI summary
An automated resource resolver system receives a client request for a learning resource. The system selects a format for a target resource, to be delivered to the client device, based on user information and context information for the client device. Thus, the selected format will be accessible by the client device, utilizing the capabilities of the device, and will be the best-fit format for the user. After the system selects the format, the system determines whether the target resource stored at a resource repository is in the selected format. If not, then the system selects an instance of the target resource, not in the selected format, to convert to the selected format. The system converts the selected resource instance to produce an instance of the target resource that is in the selected format. The system makes the target learning resource, in the selected format, available to the client device.