Adaptive Music Curriculum System for Dynamic Skill Progression
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Solution Overview
Problem
Existing music learning services provide static and inflexible curricula that do not account for users' varying goals and preferences, failing to offer personalized learning experiences based on individual skill levels and motivational factors.
Innovation Solution
A method that receives user-selected learning targets, determines user skill levels and difficulty levels, calculates effort and reward parameters, and arranges learning targets to provide a personalized curriculum, which can be updated based on user performance, allowing for flexible progression and motivation through a dynamic learning path.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a static and predetermined curriculum is provided, then the system structure is simple and easy to implement, but the curriculum lacks adaptability to individual user skill levels and learning goals
Solution Approach 1:
The patent implements a dynamic curriculum system that automatically adjusts learning targets and difficulty levels based on real-time analysis of user performance. The system transitions from static predetermined curricula to dynamic adaptive curricula that evolve with user skill development, resolving the contradiction between adaptability and system complexity through automated performance tracking and curriculum adjustment algorithms
Solution Approach 2:
The system changes key parameters including difficulty level, learning target selection, and curriculum structure based on analyzed user performance data. By dynamically adjusting these parameters according to user skill level and progress, the system achieves high adaptability while managing complexity through data-driven automated decision-making
2Ease of operation
If the curriculum is customized to individual user goals and preferences, then user engagement and motivation improve, but the complexity of managing and delivering personalized content increases
Solution Approach 1:
The system enables users to actively participate in curriculum customization by selecting their own learning targets and goals. Users can choose what they want to learn while the system automatically adapts the curriculum structure and difficulty, combining user autonomy with automated personalization to improve engagement without proportionally increasing management complexity
Solution Approach 2:
The system continuously analyzes user performance and provides feedback that automatically adjusts the curriculum. This closed-loop feedback mechanism allows the system to deliver highly personalized content while managing complexity through automated analysis and adjustment algorithms that learn from user responses
3Productivity
If learning targets are arranged based on multiple parameters including effort and reward, then the personalized curriculum optimizes user motivation and progress, but the computational complexity of determining and arranging targets increases
Solution Approach 1:
The system dynamically adjusts multiple parameters including effort required, reward value, and difficulty level when arranging learning targets. By optimizing these parameters based on user performance analysis, the system maximizes learning efficiency while managing computational complexity through efficient algorithms that prioritize the most relevant parameters for curriculum arrangement
Data Source
AI summary
A method in an apparatus, the method comprising receiving a set of learning targets based on a user selection; determining a user skill level by analyzing an input of a user performance of at least one musical piece; determining a difficulty level for each learning target of the set of learning targets; determining an effort parameter for each learning target of the set of learning targets based on the user skill level and/or the difficulty level of each learning target; arranging the set of learning targets based on the effort parameters; and providing a personalized curriculum based on the arranged set of learning targets.