Flexible Assessment System Using Dynamic Policies
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Solution Overview
Problem
Existing e-Learning systems face challenges in efficiently combining and assessing various grade objects to determine an individual's knowledge, performance, or proficiency, often requiring complex and inflexible methods that do not accommodate diverse assessment structures or user-defined policies.
Innovation Solution
A method and system for processing grade objects using contributor policies, aggregators, and result policies to generate aggregate and result grade objects, allowing for flexible combination and presentation of assessments, with features like weighting, exclusion, and statistical aggregation, and enabling user-defined assessment structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex and inflexible methods are used to combine and assess grade objects, then assessment coverage is comprehensive, but system complexity increases and adaptability decreases
Solution Approach 1:
The system segments the assessment process into distinct components: grade object creation, contributor policy application, aggregation functions, and result policy application. Each component is independently configurable and can be combined in different ways to create flexible assessment structures without increasing overall system complexity.
Solution Approach 2:
The system employs dynamic policies that can be applied at different stages of the assessment process. Contributor policies dynamically filter and prepare grade objects before aggregation, while result policies dynamically transform aggregation results. This dynamic approach allows the same core aggregation logic to adapt to different assessment requirements.
2Productivity
If standardized aggregation methods are used, then processing efficiency is high, but adaptability to diverse assessment structures is limited
Solution Approach 1:
The system implements universal aggregation functions that can handle multiple types of grade objects and assessment scenarios through a single interface. The same aggregation framework supports weighted averages, minimums, maximums, and custom formulas by simply changing policy configurations rather than implementing separate processing logic for each case.
Solution Approach 2:
The system achieves adaptability through parameter changes in policies rather than structural changes. By modifying contributor policy parameters (such as weighting factors, inclusion/exclusion criteria) and result policy parameters (such as scaling factors, rounding rules), the system can adapt to diverse assessment structures while maintaining efficient standardized processing.
3Adaptability or versatility
If manual grading processes are used, then customization is possible, but time consumption increases
Solution Approach 1:
The system performs preliminary action by pre-defining contributor policies and result policies that automate the customization normally requiring manual intervention. Grade objects are automatically filtered, weighted, and transformed according to predefined policies, eliminating the need for manual grading while preserving full customization capabilities through configurable policy parameters.
Solution Approach 2:
The system implements automated feedback loops where aggregation results are automatically transformed by result policies and can trigger further processing. This automated feedback mechanism replaces manual review and adjustment steps, reducing time consumption while maintaining customization through configurable policy rules that can be tuned to match instructor preferences.
Data Source
AI summary
Various embodiments are described herein that generally relate to a system and method for processing a plurality of grade objects to determine a value for an intermediate result grade object or a final result grade object according to an assessment structure. This may be accomplished by obtaining values for a plurality of grade objects and applying various policies and aggregator functions to these values based on the assessment structure.