Assessment Definitions for Cross-Platform Skill Validation
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Solution Overview
Problem
Current systems lack the ability to effectively assess a user's knowledge and skills across multiple platforms, limiting the validation of hands-on challenge tasks and certification processes, which are often confined to single assessment environments and do not accurately reflect real-world skills.
Innovation Solution
A centralized computing system facilitates the validation of user responses to hands-on challenge tasks across multiple computing systems using a modular and extensible collection of APIs and handlers, enabling assessment definitions to connect to various platforms and support localization, thus allowing for comprehensive skill assessment and certification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If assessment systems are confined to single assessment environments, then system complexity is reduced, but the ability to accurately assess user skills across multiple platforms is limited
Solution Approach 1:
The assessment system is segmented into independent assessment definitions, each targeting specific skills or knowledge areas. Each assessment definition can be configured to validate against multiple external systems separately, allowing the overall system to handle cross-platform validation without requiring monolithic complexity. This segmentation enables precise skill measurement while maintaining manageable system structure.
Solution Approach 2:
The assessment platform implements universal assessment definitions that can validate user responses across multiple external systems and platforms. The system uses standardized validation mechanisms that work uniformly across different assessment environments, enabling multi-functional capability to assess skills in diverse contexts while maintaining consistent evaluation criteria.
2Adaptability or versatility
If multiple APIs and handlers are integrated to support cross-platform validation, then adaptability increases, but device complexity increases
Solution Approach 1:
The system introduces assessment definitions as intermediary components that mediate between user responses and external validation systems. These assessment definitions serve as standardized interfaces that simplify integration with multiple external APIs and handlers, enabling broad platform compatibility while abstracting away the underlying complexity of connecting to different systems.
Solution Approach 2:
The assessment system utilizes configurable parameters within assessment definitions to adapt to different external systems. By changing validation parameters, API endpoints, and handler configurations without altering the core system architecture, the platform achieves high adaptability across multiple systems while maintaining a consistent underlying structure that prevents complexity escalation.
Data Source
AI summary
Disclosed are some implementations of systems, apparatus, methods and computer program products for facilitating the validation of assessments in an eLearning environment. Validation is facilitated using an assessment definition that includes one or more application programming interfaces (APIs) and identifies, for each of the APIs, a corresponding plugin and handler. Each of the APIs is configurable to obtain at least one user response to a corresponding challenge task via the corresponding plugin and each handler is configurable to validate the user response returned via the corresponding API. The accuracy of the user response to each challenge task is determined via the corresponding handler identified within the assessment definition. APIs can include a third party API, enabling validation of user responses across different systems. The user's knowledge may be assessed based upon the accuracy of the user's responses to all of the challenge tasks.