Interactive Learning Platform - Business Analysis

Project Overview

An interactive video-based learning system that pauses at key milestones to present AI-generated questions. Students must answer correctly to continue, creating an engaging and validated learning experience.

Business Requirements

1. System Purpose

• Deliver general education content through interactive video learning
• Ensure comprehension through milestone-based assessments
• Provide progress tracking and analytics for all stakeholders
• Support multi-tenant architecture with role-based access

2. User Roles & Permissions

2.1 Students (Learners)

• Access: Enrolled lessons and videos
• Capabilities:
  • Watch interactive videos with milestone questions
  • Answer questions to progress through content
  • View personal progress and grades
  • Resume sessions across devices
• Restrictions: Cannot access unpublished content or admin features

2.2 Teachers (Content Creators)

• Access: Content creation and management tools
• Capabilities:
  • Create and manage lessons with metadata (title, description, difficulty, tags, estimated time)
  • Save lessons as drafts for iterative development
  • Upload videos to Google database with automatic video group creation
  • Annotate videos with milestone markers and timestamps
  • Request AI-generated questions for milestones
  • Review and approve AI-generated questions before publication
  • Set retry limits and grading criteria for questions
  • Publish/unpublish lessons when content is ready
  • View and manage personal lesson library with status filtering (Draft/Published/Archived)
  • Access comprehensive student progress analytics for their content
  • Search and organize lesson content efficiently
• Restrictions: Can only manage their own content, cannot access other teachers' drafts

2.3 Administrators

• Access: Full system access
• Capabilities:
  • Manage all users (students, teachers)
  • System configuration and settings
  • Global analytics and reporting
  • Content moderation and approval
  • AI API configuration and management
• Restrictions: None

3. Content Structure

3.1 Hierarchical Organization

1. Lessons
2. Groups of Videos
3. Groups of Questions per Video
4. Individual Questions at Milestones

3.2 Content Lifecycle

1. Lesson Creation: Teacher creates lesson with metadata (title, description, difficulty, estimated time, tags)
2. Draft Storage: Lesson saved as DRAFT status for iterative development
3. Video Upload: Teacher uploads videos with automatic video group creation
4. Annotation: Teacher marks milestone timestamps on videos
5. Question Generation: AI generates questions based on milestone annotations
6. Review & Approval: Teacher reviews, edits, and approves AI-generated questions
7. Configuration: Teacher sets retry limits, grading criteria, and question parameters
8. Publication: Teacher publishes lesson (DRAFT → PUBLISHED), making it available to students
9. Analytics: System tracks student engagement, progress, and performance metrics
10. Management: Teachers can archive, update, or unpublish lessons as needed

4. Core Functionality

4.1 Interactive Video Player

• Video Playback: Standard controls with milestone integration
• Milestone Detection: Automatic pause at annotated timestamps
• Question Display: Modal/overlay presentation of questions
• Progress Blocking: Video cannot advance without correct answers
• Session Persistence: Resume from last position across devices

4.2 Question Management

• AI Generation: Multiple question types determined by AI
• Question Types: Multiple choice, short answer, true/false, etc.
• Retry Logic: Configurable retry limits per milestone
• Grading System: Point-based scoring with pass/fail thresholds
• Adaptive Content: Same difficulty for all users (no personalization)

4.3 Progress Tracking

• Individual Progress: Per-student completion and scoring
• Session Management: Cross-session progress persistence
• Analytics Dashboard: Performance metrics for teachers and admins
• Reporting: Detailed progress reports and learning analytics

5. Technical Requirements

5.1 Technology Stack

• Frontend: React.js with TypeScript
• Backend: Node.js with TypeScript
• Database: PostgreSQL for structured data
• Video Storage: Google Cloud Storage
• AI Integration: Configurable AI APIs (OpenAI, Claude, etc.)
• Authentication: JWT-based with role management

5.2 Integration Requirements

• AI Services: Flexible API integration for question generation
• Video Services: Google Cloud Storage integration
• Analytics: Real-time progress tracking and reporting
• Cross-Platform: Web-based responsive design

6. User Experience Requirements

6.1 Student Experience

• Seamless video viewing with minimal interruption
• Clear question presentation with intuitive UI
• Immediate feedback on answers
• Visual progress indicators
• Mobile-responsive design

6.2 Teacher Experience

• Lesson Creation Workflow: Streamlined lesson creation with comprehensive metadata fields
• Draft Management: Save and resume work on lessons with DRAFT status
• Content Organization: Personal lesson library with filtering (All/Draft/Published/Archived)
• Search & Discovery: Efficient lesson search and organization tools
• Video Upload: Simple video upload with automatic video group creation
• Intuitive Annotation Tools: Easy milestone marker placement and timestamp management
• AI Integration: Seamless AI question generation with review and approval workflow
• Publishing Control: One-click publishing when lessons are ready for students
• Analytics Dashboard: Comprehensive student progress and engagement analytics
• Status Management: Clear visual indicators for lesson status (Draft/Published/Archived)

6.3 Admin Experience

• System-wide visibility and control
• User management interface
• Configuration management
• Global reporting and analytics
• System health monitoring

7. Data Requirements

7.1 User Data

• Authentication credentials and profiles
• Role assignments and permissions
• Progress tracking and session state
• Performance analytics and grades

7.2 Content Data

• Video metadata and storage references
• Milestone annotations and timestamps
• Generated questions and answer keys
• Lesson structure and relationships

7.3 System Data

• AI API configurations and usage metrics
• System logs and audit trails
• Performance metrics and analytics
• Configuration settings and preferences

8. Security & Compliance

8.1 Data Protection

• Secure user authentication and authorization
• Encrypted data storage and transmission
• GDPR compliance for user data
• Regular security audits and updates

8.2 Access Control

• Role-based permission system
• Content access restrictions
• API security and rate limiting
• Audit logging for all actions

9. Performance Requirements

9.1 System Performance

• Video streaming with minimal buffering
• Fast question generation and loading
• Responsive UI across all devices
• Scalable architecture for growth

9.2 Availability

• 99.9% uptime target
• Graceful error handling
• Backup and disaster recovery
• Load balancing and scaling

10. Teacher Lesson Management Workflow

10.1 Lesson Creation Process

1. Initial Setup:

   • Teacher navigates to "Create New Lesson" from dashboard or "My Lessons" page
   • Fills out lesson metadata:
     • Title: Descriptive lesson name
     • Description: Learning objectives and overview
     • Difficulty: Beginner/Intermediate/Advanced
     • Estimated Time: Duration in minutes
     • Tags: Searchable keywords for organization

2. Draft Storage:

   • Lesson automatically saved as DRAFT status
   • Teacher can return to work on lesson iteratively
   • Draft lessons only visible to creator

3. Content Development:

   • Video Upload: Teacher uploads videos with automatic video group creation
   • Milestone Annotation: Place markers at key learning points
   • AI Question Generation: Generate questions for each milestone
   • Content Review: Review and approve AI-generated questions

4. Publishing:

   • Teacher reviews complete lesson
   • One-click publish converts DRAFT → PUBLISHED
   • Published lessons become available to students

10.2 Lesson Management Features

• Personal Library: Dedicated "My Lessons" page for teachers
• Status Filtering: Filter by All/Draft/Published/Archived
• Search Functionality: Find lessons by title, description, or tags
• Status Indicators: Color-coded badges (yellow=draft, green=published)
• Bulk Actions: Publish, archive, or delete multiple lessons
• Progress Tracking: View student engagement metrics per lesson

10.3 Navigation & Access

• Teacher Dashboard: Quick access to lesson creation and management
• Sidebar Navigation: "My Lessons" menu item for teachers
• Role-Based Access: Teachers see only their own content
• Security: Draft lessons protected from unauthorized access

10.4 Technical Implementation

• Backend: Role-based filtering with createdById parameter
• Frontend: Dedicated React components for teacher workflow
• Database: Lesson status tracking (DRAFT/PUBLISHED/ARCHIVED)
• API Integration: RESTful endpoints for CRUD operations
• Real-time Updates: Lesson status changes reflected immediately

11. Success Criteria

11.1 Educational Outcomes

• Improved learning retention through interactive engagement
• Measurable progress tracking and assessment
• Positive user feedback and adoption rates
• Demonstrated learning effectiveness

11.2 Technical Success

• Stable, scalable platform performance
• Successful AI integration and question generation
• Seamless user experience across all roles
• Comprehensive analytics and reporting capabilities

12. Next Steps

1. Detailed technical architecture design
2. Database schema development
3. UI/UX wireframes and prototypes
4. Development sprint planning
5. Testing strategy and quality assurance
6. Deployment and launch planning

🚀 Quick Start for Developers

See QUICK_START.md for the development setup guide.

# Get started in 2 commands:
./dev.sh install
./dev.sh start