Tasks Module - Abstract Documentation
Purpose and Responsibility
Implements comprehensive task generation and management system supporting multiple task types across different topology structures. Provides adaptive difficulty scaling, boundary analysis, and extended cognitive tasks for research applications.
Key Data Structures and Relationships
Task Components
- core: Core task types and generation framework
- boundaries: Chunk boundary analysis and crossing detection
- extended: Advanced task types and dynamic topology manipulation
- music: Musical sequence learning and pattern recognition tasks
- navigation: Spatial and abstract navigation task generation
Task Hierarchy
TaskGenerator → TaskType → Task → Response → Performance Analysis
TaskSession → TaskHistory → SessionStatistics → LearningAnalysis
Main Data Flows and Transformations
Task Generation Pipeline
- Type Selection: Adaptive or random task type selection based on learning model
- Parameter Generation: Difficulty-appropriate parameter selection for task instance
- Validation: Task solvability and appropriateness verification
- Presentation: User-friendly task formatting with clear instructions
Response Processing
- Answer Validation: Correctness checking with partial credit support
- Timing Analysis: Response time measurement and reaction time modeling
- Learning Integration: Performance feedback to adaptive learning algorithms
- Quality Assessment: Response validity and engagement measurement
Core Algorithms and Business Logic Abstractions
- Difficulty Calibration: Adaptive difficulty adjustment based on performance
- Boundary Detection: Chunk boundary identification and crossing analysis
- Task Sequencing: Optimal task ordering for learning effectiveness
- Transfer Task Generation: Cross-domain task creation for generalization testing