# WIA-EDU-020: Content AI Standard
## Technical Specification

**Version:** 1.0
**Status:** Active
**Date:** 2025-01-15

---

## 1. System Requirements

### 1.1 Infrastructure

**Minimum Requirements:**
- Cloud infrastructure with auto-scaling
- GPU support for AI model inference
- CDN for content delivery
- Database: PostgreSQL 14+, MongoDB 6+
- Cache: Redis 7+
- Message Queue: RabbitMQ or Kafka

**Recommended:**
- Multi-region deployment
- Load balancing
- Container orchestration (Kubernetes)
- Vector database for embeddings
- Object storage (S3-compatible)

### 1.2 AI Models

**Required Models:**
- Large Language Model (GPT-4, Claude, or equivalent)
- Image Generation Model (Stable Diffusion, DALL-E)
- Text-to-Speech Model (Whisper, ElevenLabs)
- Translation Model (NLLB, mBART)
- Embedding Model (sentence-transformers)

---

## 2. Content Generation Architecture

### 2.1 Text Content Generation

```typescript
interface ContentGenerationRequest {
  contentType: 'lesson' | 'problem' | 'assessment' | 'explanation';
  subject: string;
  topic: string;
  gradeLevel: string;
  objectives: string[];
  constraints?: {
    duration?: number;        // minutes
    difficulty?: number;      // 0-1
    length?: number;          // words/items
    format?: string;
  };
  context?: Record<string, any>;
}

interface ContentGenerationResponse {
  id: string;
  content: GeneratedContent;
  metadata: ContentMetadata;
  quality: QualityMetrics;
  generatedAt: Date;
}
```

### 2.2 Content Structure

```typescript
interface GeneratedContent {
  title: string;
  sections: ContentSection[];
  assessments?: Assessment[];
  resources?: Resource[];
  standards?: string[];
}

interface ContentSection {
  id: string;
  type: 'introduction' | 'instruction' | 'practice' | 'assessment' | 'closure';
  title: string;
  content: string;
  duration?: number;
  visuals?: Visual[];
  activities?: Activity[];
}
```

---

## 3. Personalization Engine

### 3.1 Learner Profile

```typescript
interface LearnerProfile {
  id: string;
  demographics: {
    ageRange: string;
    gradeLevel: string;
    language: string;
    timezone: string;
  };
  learningCharacteristics: {
    readingLevel: number;       // Lexile or grade level
    learningStyle: LearningStyle[];
    pace: 'slow' | 'medium' | 'fast';
    strengths: string[];
    challenges: string[];
  };
  preferences: {
    interests: string[];
    contentFormats: ContentFormat[];
    accessibility: AccessibilityNeeds;
  };
  performance: {
    masteryLevels: Record<string, number>;
    engagementMetrics: EngagementData;
    learningHistory: LearningEvent[];
  };
}

type LearningStyle = 'visual' | 'auditory' | 'kinesthetic' | 'reading';
type ContentFormat = 'text' | 'video' | 'audio' | 'interactive' | 'game';
```

### 3.2 Personalization Algorithm

```typescript
interface PersonalizationRequest {
  content: GeneratedContent;
  learnerProfile: LearnerProfile;
  adaptations: {
    readingLevel?: boolean;
    learningStyle?: boolean;
    pace?: boolean;
    interests?: boolean;
    language?: boolean;
  };
}

interface PersonalizationResponse {
  personalizedContent: GeneratedContent;
  adaptationLog: AdaptationRecord[];
  recommendedNext: Recommendation[];
}
```

**Adaptation Process:**
1. Analyze learner profile
2. Identify content characteristics
3. Apply transformation rules
4. Validate pedagogical effectiveness
5. Generate personalized version

---

## 4. Multi-Modal Content Creation

### 4.1 Video Generation

```typescript
interface VideoGenerationRequest {
  topic: string;
  script?: string;              // Auto-generated if not provided
  duration: number;             // seconds
  style: 'animated' | 'slideshow' | 'talking-head' | 'screencast';
  voiceConfig?: {
    gender: 'male' | 'female' | 'neutral';
    accent: string;
    speed: number;              // 0.5-2.0
    language: string;
  };
  visualConfig?: {
    resolution: '720p' | '1080p' | '4k';
    fps: 24 | 30 | 60;
    theme: string;
  };
  captions: boolean;
  chapters?: boolean;
}

interface VideoGenerationResponse {
  videoUrl: string;
  thumbnailUrl: string;
  captionsUrl?: string;
  transcript: string;
  duration: number;
  metadata: VideoMetadata;
}
```

### 4.2 Interactive Content

```typescript
interface InteractiveContentRequest {
  type: 'simulation' | 'game' | 'quiz' | 'drag-drop' | 'virtual-lab';
  topic: string;
  learningObjectives: string[];
  difficulty: number;           // 0-1
  config: InteractiveConfig;
}

interface InteractiveConfig {
  mechanics: string[];
  feedback: FeedbackConfig;
  scoring: ScoringConfig;
  accessibility: AccessibilityConfig;
}
```

---

## 5. Translation and Localization

### 5.1 Translation Service

```typescript
interface TranslationRequest {
  contentId: string;
  sourceLanguage: string;       // ISO 639-1 code
  targetLanguages: string[];
  culturalAdaptation: boolean;
  preserveFormatting: boolean;
  glossary?: Record<string, Record<string, string>>;
}

interface TranslationResponse {
  translations: LanguageVersion[];
  quality: TranslationQuality[];
  warnings?: string[];
}

interface LanguageVersion {
  language: string;
  content: GeneratedContent;
  culturalAdaptations: Adaptation[];
  reviewStatus: 'auto' | 'reviewed' | 'native';
}
```

### 5.2 Cultural Adaptation

**Adaptation Categories:**
- Units of measurement (metric/imperial)
- Currency and pricing
- Date and time formats
- Names and examples
- Cultural references
- Regional regulations
- Holidays and events
- Food and customs

---

## 6. Content Analytics

### 6.1 Metrics Collection

```typescript
interface ContentAnalytics {
  contentId: string;
  timeRange: DateRange;
  engagement: EngagementMetrics;
  effectiveness: EffectivenessMetrics;
  quality: QualityMetrics;
  usage: UsageMetrics;
}

interface EngagementMetrics {
  views: number;
  completionRate: number;       // 0-1
  timeOnContent: number;        // seconds
  interactionRate: number;      // 0-1
  returnRate: number;           // 0-1
}

interface EffectivenessMetrics {
  learningGains: number;        // pre/post difference
  retentionRate: number;        // long-term retention
  transferRate: number;         // application to new contexts
  satisfactionScore: number;    // 0-5 stars
}
```

### 6.2 A/B Testing

```typescript
interface ABTestConfig {
  contentId: string;
  variants: ContentVariant[];
  metrics: string[];
  sampleSize: number;
  duration: number;             // days
  successCriteria: SuccessCriteria;
}

interface ContentVariant {
  id: string;
  name: string;
  content: GeneratedContent;
  weight: number;               // traffic allocation
}
```

---

## 7. Quality Assurance

### 7.1 Automated Quality Checks

**Content Validation:**
- Grammar and spelling
- Factual accuracy (via fact-checking APIs)
- Readability scores
- Bias detection
- Plagiarism detection
- Standards alignment

**Technical Validation:**
- Format compliance
- Metadata completeness
- Link validation
- Media accessibility
- Cross-browser compatibility

### 7.2 Quality Metrics

```typescript
interface QualityMetrics {
  accuracy: number;             // 0-1, factual correctness
  clarity: number;              // 0-1, readability
  completeness: number;         // 0-1, coverage
  pedagogical: number;          // 0-1, teaching effectiveness
  accessibility: number;        // 0-1, WCAG compliance
  engagement: number;           // 0-1, predicted engagement
  overall: number;              // 0-1, weighted average
}
```

---

## 8. Performance Requirements

### 8.1 Response Times

| Operation | Target | Maximum |
|-----------|--------|---------|
| Problem Generation | 2s | 5s |
| Lesson Generation | 15s | 30s |
| Video Generation | 60s | 120s |
| Translation | 5s | 10s |
| Personalization | 3s | 8s |
| Analytics Query | 1s | 3s |

### 8.2 Throughput

- Concurrent requests: 1,000+
- Requests per second: 100+
- Content generation: 10,000+ items/day
- Translation capacity: 1M words/day

### 8.3 Availability

- Uptime: 99.9% (8.76 hours downtime/year)
- Regional failover: < 30s
- Data backup: Real-time replication
- Disaster recovery: < 4 hours

---

## 9. Security

### 9.1 Authentication & Authorization

- OAuth 2.0 / OpenID Connect
- JWT tokens with expiration
- Role-based access control (RBAC)
- API key management
- Multi-factor authentication (MFA)

### 9.2 Data Protection

- Encryption at rest (AES-256)
- Encryption in transit (TLS 1.3)
- Key management (KMS)
- Data anonymization
- PII detection and masking

### 9.3 Compliance

- FERPA compliance
- COPPA compliance (under 13)
- GDPR compliance
- SOC 2 Type II certification
- ISO 27001 certification

---

## 10. API Design

### 10.1 RESTful API

**Base URL:** `https://api.wia.org/v1/content-ai`

**Authentication:**
```
Authorization: Bearer {access_token}
X-API-Key: {api_key}
```

**Rate Limiting:**
- Free tier: 100 requests/hour
- Pro tier: 1,000 requests/hour
- Enterprise: Custom limits

### 10.2 GraphQL API

```graphql
type Query {
  generateContent(input: ContentGenerationInput!): GeneratedContent!
  personalizeContent(input: PersonalizationInput!): PersonalizedContent!
  translateContent(input: TranslationInput!): TranslationResult!
  getAnalytics(contentId: ID!, timeRange: DateRange!): ContentAnalytics!
}

type Mutation {
  createContent(input: CreateContentInput!): Content!
  updateContent(id: ID!, input: UpdateContentInput!): Content!
  optimizeContent(id: ID!): OptimizationResult!
}

type Subscription {
  contentGenerated(userId: ID!): GeneratedContent!
  analyticsUpdated(contentId: ID!): ContentAnalytics!
}
```

---

## 11. Integration Points

### 11.1 LMS Integration

- LTI 1.3 Advantage
- Canvas REST API
- Moodle Web Services
- Blackboard Building Blocks
- Google Classroom API

### 11.2 Content Repositories

- IMS Common Cartridge
- SCORM 2004
- xAPI (Tin Can)
- Learning Object Repository (LOR)
- Open Educational Resources (OER)

### 11.3 Assessment Systems

- QTI 3.0 (Question and Test Interoperability)
- IMS LTI Assessment
- GIFT format
- Custom assessment APIs

---

## 12. Monitoring and Logging

### 12.1 Logging

**Log Levels:**
- ERROR: System failures
- WARN: Degraded performance
- INFO: Key operations
- DEBUG: Detailed diagnostics

**Log Data:**
- Request/response
- Generation time
- Quality metrics
- Error traces
- User actions

### 12.2 Metrics

**System Metrics:**
- CPU/Memory usage
- Request latency
- Error rates
- Queue depth
- Cache hit rate

**Business Metrics:**
- Content generated
- Active users
- API usage
- Cost per generation
- Customer satisfaction

---

## 13. Deployment

### 13.1 Container Configuration

```yaml
# docker-compose.yml
version: '3.8'
services:
  content-ai-api:
    image: wia/content-ai:latest
    ports:
      - "8080:8080"
    environment:
      - DATABASE_URL=postgresql://...
      - REDIS_URL=redis://...
      - AI_MODEL=gpt-4
    deploy:
      replicas: 3
      resources:
        limits:
          cpus: '2'
          memory: 4G
```

### 13.2 Kubernetes Deployment

```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: content-ai
spec:
  replicas: 5
  selector:
    matchLabels:
      app: content-ai
  template:
    spec:
      containers:
      - name: content-ai
        image: wia/content-ai:v1.0
        resources:
          requests:
            memory: "2Gi"
            cpu: "1"
          limits:
            memory: "4Gi"
            cpu: "2"
```

---

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