Automated Assessment Model Creation via Marked Region Detection
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Solution Overview
Problem
Current educational assessment systems require intensive training to learn how to extract student answers from documents, making it cumbersome for users to create effective assessment models.
Innovation Solution
A method and system that involves scanning a master document to generate an electronic document, identifying marked regions and mark-ups, and creating an assessment model to assess answers, utilizing an identification module and model creation module within an educational assessment system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional assessment model building tools are used, then assessment functionality can be provided, but intensive training is required to learn how to use them
Solution Approach 1:
The system performs automatic identification of marked regions and mark-ups through scanning and image processing, eliminating the need for users to manually configure assessment parameters. The assessment model is generated automatically based on the scanned document content, making the system self-sufficient and reducing user burden.
Solution Approach 2:
The manual process of creating assessment models is replaced by an automated image processing system that scans the document, identifies marked regions and mark-ups, and generates the assessment model programmatically. This substitution of manual mechanical operations with automated processing eliminates the need for intensive training.
2Productivity
If manual assessment model creation is used, then customization is possible, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system automatically scans the document, identifies marked regions and mark-ups, and generates the assessment model without requiring manual configuration. This self-service approach dramatically increases productivity while keeping the interface simple.
Solution Approach 2:
The system performs preliminary scanning and identification of marked regions and mark-ups before generating the assessment model. This preliminary processing automates the complex steps beforehand, making the overall process faster and simpler for the user.
Data Source
AI summary
A method, a system, and a computer program product for creating an assessment model are disclosed. Marked regions in an electronic document are identified. Thereafter, mark-ups within the marked regions are identified. Based on the identified marked regions and mark-ups the assessment model is created.


