Implement Intelligent QCM system with AI-generated plausible distractors

- Transform ContentLoader from hardcoded QCM to AI-powered exercises
- Remove all mock content generators (_generateTextExercise, etc.)
- Add pure AI content generation with 6-option QCM (1 correct + 5 distractors)
- Create intelligent distractors testing common learning mistakes:
  * Text: main idea confusion, partial truths, logical but wrong conclusions
  * Audio: mishearing, speaker confusion, context misunderstanding
  * Image: object similarity, spatial confusion, descriptive errors
  * Grammar: common errors, tense mistakes, wrong constructions
- Reduce random success chance from 25% to 16.7% for better learning assessment
- Make AI mandatory - no fallback without IAEngine availability
- Update CLAUDE.md plan with dual exercise approach documentation
- Fix async/await issues in ContentLoader module loading chain

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
StillHammer 2025-09-27 10:47:48 +08:00
parent 05142bdfbc
commit a6c81a8ec3
3 changed files with 578 additions and 459 deletions

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@ -17,14 +17,27 @@ Building a **bulletproof modular system** with strict separation of concerns usi
- ✅ **Application.js** - Auto-bootstrap system with lifecycle management
- ✅ **Development Server** - HTTP server with ES6 modules and CORS support
**DRS SYSTEM COMPLETED ✅** - Advanced learning modules with AI integration:
- ✅ **TextModule** - Reading comprehension exercises with AI text analysis
- ✅ **AudioModule** - Listening exercises with AI audio comprehension
- ✅ **ImageModule** - Visual comprehension with AI vision analysis
- ✅ **GrammarModule** - Grammar exercises with AI linguistic analysis
- ✅ **AI Integration** - OpenAI → DeepSeek → Disable fallback system
- ✅ **Persistent Storage** - Progress tracking with timestamps and metadata
- ✅ **Data Merge System** - Local/external data synchronization
**DRS SYSTEM COMPLETED ✅** - Advanced learning modules with dual AI approach:
**Core Exercise Generation:**
- ✅ **ContentLoader** - Pure AI content generation when no real content available
- ✅ **IAEngine** - Multi-provider AI system (OpenAI → DeepSeek → Disable)
- ✅ **LLMValidator** - Intelligent answer validation with detailed feedback
- ✅ **AI Report System** - Session tracking with exportable reports (text/HTML/JSON)
- ✅ **UnifiedDRS** - Component-based exercise presentation system
**Dual Exercise Modes:**
- 🔄 **Intelligent QCM** - AI generates questions + 1 correct + 5 plausible wrong answers (16.7% random chance)
- 🔄 **Open Analysis Modules** - Free-text responses validated by AI with personalized feedback
- TextAnalysisModule - Deep comprehension with AI coaching
- GrammarAnalysisModule - Grammar correction with explanations
- TranslationModule - Translation validation with improvement tips
- OpenResponseModule - Free-form questions with intelligent evaluation
**AI Architecture:**
- ✅ **AI-Mandatory System** - No fallback without AI, ensures quality consistency
- ✅ **Smart Preview Orchestrator** - Manages AI report sessions and shared services
- ✅ **Dynamic Content Adaptation** - Real content + AI questions when available, pure AI when not
## 🔥 Critical Requirements

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@ -201,24 +201,30 @@ class Application {
async _loadModules() {
console.log(`🔄 Loading ${this._config.modules.length} modules...`);
// PHASE 1: Register all modules first
console.log('📋 PHASE 1: Registering all modules...');
for (const moduleConfig of this._config.modules) {
try {
const { name, path, dependencies = [], config = {} } = moduleConfig;
console.log(`📦 Loading module: ${name} from ${path}`);
console.log(`📝 Registering module: ${name} from ${path}`);
// Dynamically import module
const moduleModule = await import(path);
const ModuleClass = moduleModule.default;
// Register and initialize
this._moduleLoader.register(name, ModuleClass, dependencies);
await this._moduleLoader.loadAndInitialize(name, config);
if (!ModuleClass) {
throw new Error(`Module ${name} does not export a default class`);
}
console.log(`✅ Module ${name} loaded and initialized successfully`);
// Register only
this._moduleLoader.register(name, ModuleClass, dependencies);
console.log(`✅ Registered module: ${name} with dependencies: [${dependencies.join(', ')}]`);
} catch (error) {
console.error(`❌ Failed to load module ${moduleConfig.name}:`, error);
console.error(`❌ Failed to register module ${moduleConfig.name}:`, error);
console.error(`❌ Module config was:`, moduleConfig);
console.error(`❌ Full error stack:`, error.stack);
// Emit module load error
this._eventBus.emit('app:module-error', {
@ -227,6 +233,37 @@ class Application {
}, 'Application');
}
}
// Show registration status
const status = this._moduleLoader.getStatus();
console.log(`📊 Registration complete. Registered modules: [${status.registered.join(', ')}]`);
// PHASE 2: Load and initialize all modules
console.log('🚀 PHASE 2: Loading and initializing modules...');
for (const moduleConfig of this._config.modules) {
try {
const { name, config = {} } = moduleConfig;
console.log(`🔄 Loading and initializing module: ${name}`);
await this._moduleLoader.loadAndInitialize(name, config);
console.log(`✅ Module ${name} loaded and initialized successfully`);
} catch (error) {
console.error(`❌ Failed to load/initialize module ${moduleConfig.name}:`, error);
console.error(`❌ Module config was:`, moduleConfig);
console.error(`❌ Full error stack:`, error.stack);
// Emit module load error
this._eventBus.emit('app:module-error', {
module: moduleConfig.name,
error: error.message
}, 'Application');
}
}
// Final status
const finalStatus = this._moduleLoader.getStatus();
console.log(`🎯 Module loading complete. Initialized modules: [${finalStatus.initialized.join(', ')}]`);
}
async _startRouting() {

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