instructure/canvas-lms

Features

• Learning Management Systems - Provides a web-based platform for instructors to create courses, manage assignments, and track student progress.
• Online Courses - Builds course shells with content, modules, and enrollment for educational delivery.
• Student Assignments - Creates and distributes assignments with due dates and submission instructions for students.
• Background Job Processing - Offloads long-running tasks like email reports and statistics to a dedicated background job queue.
• Background Job Queues - Offloads long-running tasks like email reports and statistics to a dedicated job queue processed by worker daemons.
• Multi-Node Deployments - Provides configuration for deploying Canvas across multiple servers for performance and reliability.
• Course Material Managers - Organizes and delivers course materials, assignments, and resources to students through a centralized online platform.
• Course Shell Builders - Builds course shells with modules, content, and enrollment for delivering educational materials to students.
• Course Assignments - Manages educational courses, assignments, and student learning through a web-based platform.
• Programming Assignments - Creates, distributes, and collects student work with configurable due dates and submission types.
• Grading Systems - Provides a complete assignment management and grading system with due dates, submissions, and a gradebook.
• Database-Backed Persistence - Stores all application data in a relational database, ensuring durable state management across sessions and server restarts.
• Student Progress Trackers - Ships a gradebook and activity tracking system for instructors to monitor student learning outcomes.
• Background Job Schedulers - Executes scheduled tasks like email reports and statistics gathering using a dedicated daemon process.
• Grading Systems - Collects student work and evaluates it against scoring criteria in a centralized gradebook.
• REST API Services - Provides a structured HTTP-based API for client-server communication, enabling integration with external tools and services.
• Key-Value Session Stores - Stores frequently accessed session and application data in Redis or Memcache for faster repeated requests.
• Course Communication Tools - Provides announcements, discussions, and messaging tools for instructor-student communication within courses.
• Application Data Caches - Caches frequently accessed data in Redis or Memcache to speed up repeated requests and reduce database load.
• Horizontal Scaling - Supports partitioning web traffic and background job processing across multiple servers for improved performance and reliability.
• Redis Cache Implementations - Uses Redis to cache session and application data for faster repeated requests.
• Caching Layers - Accelerates repeated data access by caching frequently used information in a fast key-value store, reducing database load.
• Web Application Scaling - Supports partitioning web traffic and background job processing across multiple servers for performance.
• Plugin-Based Architectures - Extends core functionality through a plugin system that allows independent modules to add features without modifying the base code.
• Rich Text WYSIWYG Editors - Runs a supporting API server to provide a consistent WYSIWYG editing experience across the ecosystem.
• Open Source Applications - Comprehensive learning management system.
• Learning and Courses - Open-source learning management system for educational institutions.

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