Automated Knowledgebase Search for Cognitive Assessment Item Generation
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Solution Overview
Problem
The development of word pairs and sample responses for cognitive assessments like the Wechsler Similarities subtest is labor-intensive and prone to errors, with administrators often relying on manual generation and scoring, which can lead to inconsistencies and increased costs due to the need for extensive data collection and review.
Innovation Solution
A system utilizing server hardware coupled to a network, executing software instructions to crawl and analyze publicly available knowledge bases to generate word pairs, sample responses, and determine difficulty levels, thereby automating the process of creating and scoring items for cognitive assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual generation and scoring of word pairs and sample responses is used, then administrators can create cognitive assessment items, but the process becomes labor-intensive and prone to errors
Solution Approach 1:
The patent replaces the manual mechanical process of administrators creating and scoring word pairs with an automated computer-based system. The system automatically generates word pairs from knowledge bases, extracts sample responses, and scores items consistently without human intervention, eliminating labor-intensive manual operations and reducing errors.
Solution Approach 2:
The system performs self-service by automatically generating assessment items and scoring responses without requiring administrator intervention for each item. The automated system handles data collection, item generation, and scoring consistently, freeing administrators from repetitive manual tasks while maintaining reliability.
2Productivity
If automated knowledge base crawling is used to generate word pairs and sample responses, then item development efficiency is improved, but system complexity increases
Solution Approach 1:
The system achieves multi-functionality by combining knowledge base crawling, data extraction, word pair generation, sample response identification, and item scoring into a single automated platform. This universal system handles multiple tasks that would otherwise require separate manual processes, improving productivity while consolidating complexity into one integrated solution.
Solution Approach 2:
The patent uses knowledge bases as an intermediary resource to generate assessment items. The system crawls existing knowledge bases, extracts relevant information, and uses this intermediate data source to automatically create word pairs and sample responses, improving efficiency without requiring the system to generate all content from scratch.
3Measurement precision
If automated difficulty level determination is implemented, then scoring consistency is improved, but data processing requirements increase
Solution Approach 1:
The system performs preliminary action by automatically determining difficulty levels during the item generation process itself, rather than requiring separate manual difficulty assessments. The automated system analyzes extracted data and assigns difficulty levels as part of the initial item creation, improving measurement precision without requiring additional data processing steps later.
Data Source
AI summary
Systems and methods of the present invention provide for: selecting a word pair and a category, concept, or sample response from a data store; performing a data extraction on a first knowledge base, including an article or content associated with a word in the word pair or a list of articles linking to the category, concept, or sample response; inserting words generated from the data extraction into a data store; defining a difficulty level for each of the words according to a crawl of difficulty data in a second knowledge base; and rendering a GUI displaying the words and the difficulty level for each of the words.