ABCDeez Documentation

Welcome to the ABCDeez documentation. This comprehensive guide covers the adaptive learning system's architecture, implementation details, and behavioral specifications.

Overview

ABCDeez is an adaptive learning system designed for research and educational purposes. It implements sophisticated learning algorithms, experimental protocols, and comprehensive data collection capabilities.

Documentation Structure

This documentation is organized into three main sections:

Core Module

The foundational learning system implementation, including:

• Adaptive learning algorithms
• Task definitions and boundaries
• Statistical analysis framework
• Experimental design protocols
• Compliance and audit systems

Web Backend

The server-side implementation providing:

• RESTful API endpoints
• WebSocket real-time communication
• Database and caching layers
• Authentication and authorization
• Monitoring and observability

Xilem Application

The cross-platform client application featuring:

• Native UI components
• Real-time synchronization
• Offline capabilities
• Adaptive learning interfaces
• Task visualization

Key Features

• Adaptive Learning: Bayesian and hierarchical Bayesian models for personalized learning paths
• Experimental Protocols: Support for A/B testing, multi-session studies, and preregistration
• Compliance: Built-in IRB compliance, audit trails, and citation management
• Real-time Sync: WebSocket-based synchronization across devices
• Cross-platform: Support for web, desktop, and mobile platforms
• Observability: Comprehensive monitoring with OpenTelemetry integration

Getting Started

For a quick introduction to using ABCDeez, see the Core Module documentation.

For API integration, refer to the Web Backend documentation.

For client application development, check the Xilem App documentation.