Learning Outcome Alignment via Activity Effectiveness Scoring
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Solution Overview
Problem
Current electronic learning systems lack effective methods to calculate and align the effectiveness of learning activities with learning outcomes, leading to inefficient course structures and assessment processes.
Innovation Solution
The system calculates activity effectiveness scores based on historical assessment data and aligns learning activities with learning outcomes, allowing for the configuration of learning modules and reporting of grades across hierarchical structures, ensuring that learning outcomes are accurately taught and assessed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If learning activities are manually aligned with learning outcomes, then alignment accuracy is improved, but time consumption and manual effort increase
Solution Approach 1:
The system automatically calculates activity effectiveness scores and aligns activities with learning outcomes without requiring manual intervention. The alignment process serves itself by using historical assessment data to automatically determine which activities best meet which outcomes, eliminating the need for manual alignment while maintaining high accuracy through data-driven decisions
Solution Approach 2:
The system uses historical assessment data as feedback to continuously improve alignment accuracy. By analyzing past assessment results, the system learns which activities are most effective for which learning outcomes, and automatically adjusts alignments accordingly, improving precision over time without additional manual effort
2Measurement precision
If comprehensive assessment data is collected for all learning activities, then assessment accuracy is improved, but data processing complexity increases
Solution Approach 1:
The system extracts only the essential features and metrics from comprehensive assessment data that are directly relevant to calculating activity effectiveness scores. By selecting and extracting only the necessary data elements rather than processing all available data, the system maintains assessment accuracy while reducing processing complexity
Solution Approach 2:
The assessment data processing is segmented into distinct stages: data collection, data cleaning, feature extraction, and effectiveness calculation. This segmentation allows the system to handle comprehensive data systematically, processing different aspects of the data in separate manageable steps rather than attempting to process everything simultaneously
3Reliability
If learning modules are configured with detailed alignment to outcomes, then learning effectiveness is improved, but course construction complexity increases
Solution Approach 1:
The system automatically configures learning modules by aligning activities with learning outcomes based on calculated effectiveness scores. Instructors simply need to provide the activities and outcomes, and the system self-configures the optimal alignments, maintaining learning effectiveness while eliminating the complexity of manual configuration
Solution Approach 2:
The system performs preliminary alignment calculations and activity effectiveness assessments before final module configuration. By pre-calculating which activities best meet which outcomes based on historical data, the system prepares the alignment information in advance, making the actual course construction process simpler and more straightforward
Data Source
AI summary
There are provided methods, devices, and systems for managing and using learning outcomes. The method comprises identifying a high-level learning outcome, and identifying a first and second low-level learning outcomes associated with the high-level learning outcome. A first grade associated with the first low-level learning outcome is obtained, and a second grade associated with the second low-level learning outcome is obtained. An outcome grade is calculated based on the first grade and the second grade, which pertains to the high-level outcome.