Problem Set Characteristic Visualization via Knowledge Map Nodes
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Solution Overview
Problem
Conventional methods for indicating characteristics of problems and problem sets based on multiple concepts and chapters provide only simplified information, making it difficult to obtain precise feedback and analyze the overall characteristics of complex problem sets, such as college scholastic ability tests, which can have varying characteristics from year to year.
Innovation Solution
A method that determines the characteristics of each problem by attributes and correlations between them, visualizing these characteristics as points and lines on a screen, allowing for precise indication and visualization of problem and problem set characteristics, with varying appearances based on frequency of attribute accumulation and answer correctness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If problems based on multiple concepts and chapters are simply indicated by the last learned concept or chapter, then the indication method is simple and easy to implement, but the information provided is simplified and imprecise, making it difficult to obtain accurate feedback on learner weaknesses
Solution Approach 1:
The patent segments the indication of problem characteristics by representing each concept and chapter as a separate node in a knowledge map, rather than providing a single simplified label. This allows multiple concepts and chapters to be individually identified and visualized, enabling precise tracking of which specific areas a learner struggles with while maintaining an organized, manageable structure.
Solution Approach 2:
The patent transitions from one-dimensional simple text indication to two-dimensional visual representation using a knowledge map with nodes and connections. This dimensional change allows simultaneous display of multiple concepts and chapters and their relationships, providing both comprehensive information and visual ease of understanding.
2Ease of operation
If a simple list of concepts and chapters is provided for problems, then the information is easy to process, but learners only obtain fragmentary information and cannot easily note overall characteristics of a problem set
Solution Approach 1:
The patent merges individual concept and chapter nodes into a unified knowledge map structure that displays both detailed individual characteristics and overall problem set patterns. This combination allows learners to see both specific concept relationships and aggregate trends across multiple problems simultaneously, preventing information loss while maintaining ease of processing.
Solution Approach 2:
The knowledge map serves multiple functions: it provides detailed concept information for individual problems, shows relationships between concepts, and enables aggregation to reveal overall problem set characteristics. This multi-functionality allows the same visual structure to support both detailed analysis and broad pattern recognition.
3Device complexity
If prior art analysis methods are used on problem sets like college scholastic ability tests, then the analysis process is simple, but the reliability is low because varying test characteristics year to year cannot be accurately captured
Solution Approach 1:
The patent implements a dynamic knowledge map that can adapt to varying problem set characteristics across different years and tests. The system automatically adjusts the visualization based on the specific concepts and chapters present in each problem set, allowing accurate capture of year-to-year variations while maintaining a consistent analytical framework.
Solution Approach 2:
The patent changes the parameters of analysis by using visual node attributes (such as size, color, or position) to represent different characteristics of problems and their frequency of occurrence. This parameter transformation enables reliable detection of patterns and variations in problem set characteristics that would be difficult to capture with simple text-based analysis.
Data Source
AI summary
Method for indicating characteristic of problem set including a plurality of problems is provided. The method comprises a step of determining characteristics of problems, wherein characteristic of each problem included in said problem set is determined by attributes related with each problem and correlations between said attributes; and a step of determining characteristic of problem set, wherein characteristic of problem set is determined as a union of characteristics of all problems included in said problem set, and said characteristic of problem set is determined by attributes related with all problems and correlations between said attributes.


