Personalized Educational Content via Question Tagging and Conquest Rates
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Solution Overview
Problem
Conventional educational content is not customizable to individual students' weak points, leading to inefficient learning and reduced interest due to subjective analysis methods.
Innovation Solution
A method and apparatus that generate structural information of questions using tags for learning themes and intentions, calculating a user conquest rate to provide user-customized content by indexing incorrect-answer tags and analyzing user test results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If package-type educational content is provided to all students, then the content can be delivered efficiently, but the content cannot be customized to individual students' weak points
Solution Approach 1:
The patent segments educational content into standardized question units with structured metadata (tags, difficulty levels, knowledge points). This allows the system to efficiently manage and deliver content while simultaneously customizing selections based on individual student needs, resolving the contradiction between delivery efficiency and content adaptability
Solution Approach 2:
The system changes parameters by introducing structured metadata tags and conquest rate metrics to question content. These parameters enable automated analysis and customization of educational content based on student performance data, allowing efficient delivery of personalized content recommendations
2Device complexity
If conventional subjective analysis methods are used to analyze students, then the analysis process is simple, but the analysis accuracy is low
Solution Approach 1:
The system implements feedback mechanisms by tracking student conquest rates (correct answer rates) for different question types and knowledge points. This quantitative feedback enables accurate identification of student weaknesses through objective data analysis rather than subjective judgment, improving measurement precision while maintaining manageable system complexity
Solution Approach 2:
The patent replaces subjective human analysis with automated computational analysis of structured data. By substituting manual subjective assessment with algorithmic processing of conquest rate metrics and tagged question data, the system achieves higher accuracy without proportionally increasing complexity
3Quantity of substance
If students work through all questions in a collection, then comprehensive coverage is achieved, but learning efficiency is reduced
Solution Approach 1:
The system applies partial action by recommending only the specific subset of questions most relevant to each student's identified weaknesses, rather than requiring completion of all questions. This targeted approach maintains adequate coverage of essential knowledge areas while significantly improving learning efficiency by eliminating redundant practice
Solution Approach 2:
The system performs preliminary analysis of student performance data to identify weakness patterns before generating personalized question recommendations. This preliminary action enables the system to pre-filter and select only the most beneficial questions for each student, avoiding unnecessary questions and improving learning efficiency from the outset
Data Source
AI summary
The present disclosure relates to a method for providing a customized educational content by an electronic device, the method including: a step a of generating a set of tags of sub-learning elements by listing a learning element of a particular subject in a tree structure, and designating analysis groups of the tags; a step b of generating structural information of a question by indexing an incorrect-answer tag to each of distractors of the question; a step c of inquiring about a result of a user test so as to calculate a user conquest rate for each of the analysis groups; and a step d of providing a user-customized question by using at least one of the structural information of the question and the user conquest rate.