services/adaptive_learning.rs - Adaptive Learning Service Integration

Conceptual Overview

Integration layer with abcdeez_core adaptive learning systems. Manages learner models, task selection, response processing, and provides custom intervention logic for the UI application.

Key Data Flows

• Integrates with abcdeez_core AdaptiveScheduler and LearnerModel
• Processes task responses for model updates
• Selects next tasks based on learning progression
• Provides custom hint and intervention systems
• Exports learner models and Bayesian models

Main Responsibilities

• abcdeez_core integration and orchestration
• Adaptive task selection algorithms
• Response processing and model updates
• Custom intervention and hint generation
• Learner metrics calculation and reporting
• Model export for persistence and analysis

Dependencies on Other Components

• abcdeez_core::* - Core learning algorithms and models
• models::* - Application data models
• Integration between core algorithms and UI needs

User-Facing Functionality

• Personalized learning experiences
• Adaptive difficulty progression
• Intelligent hint systems
• Learning progress optimization
• Performance-based task selection