Commit Graph

3 Commits

Author SHA1 Message Date
Vijay Janapa Reddi
2f3dc1610c Generate comprehensive status report and professional report cards
📊 COMPREHENSIVE ANALYSIS COMPLETE:
- Generated professional report cards for all 8 modules
- Created detailed HTML and JSON reports with timestamps
- Established baseline quality metrics for all modules
- Documented complete reorganization and testing achievements

🎯 CURRENT STATUS SUMMARY:
- Repository: Professionally organized with instructor resources
- Testing: 145/176 tests passing (82% success rate)
- Quality: Most modules Grade C, 2 modules need improvement
- Tools: All analysis tools functional and documented

📈 REPORT CARD HIGHLIGHTS:
- 00_setup: Grade C | Scaffolding 3/5
- 01_tensor: Grade C | Scaffolding 2/5 (priority for improvement)
- 02_activations: Grade C | Scaffolding 3/5
- 03_layers: Grade C | Scaffolding 3/5
- 04_networks: Grade C | Scaffolding 3/5
- 05_cnn: Grade C | Scaffolding 3/5
- 06_dataloader: Grade C | Scaffolding 3/5
- 07_autograd: Grade D | Scaffolding 2/5 (priority for improvement)

🚀 READY FOR NEXT PHASE:
- Professional report card enhancement
- Quarto documentation system
- Targeted module improvements based on data
2025-07-13 09:21:46 -04:00
Vijay Janapa Reddi
0eab3c2de3 Reorganize repository structure with instructor resources
🏗️ REPOSITORY RESTRUCTURE:
- Created instructor/ directory with organized subdirectories
- Moved analysis tools to instructor/tools/
- Moved reports to instructor/reports/
- Moved guides to instructor/guides/
- Created docs/ structure for future Quarto documentation

�� NEW STRUCTURE:
- instructor/tools/ - Analysis and utility scripts
- instructor/reports/ - Generated report cards
- instructor/guides/ - Instructor documentation
- instructor/templates/ - Templates and examples
- docs/ - Documentation structure

🔧 FUNCTIONALITY:
- Created analyze_modules.py wrapper for easy access
- Updated paths to work from new locations
- All analysis tools working from reorganized structure
- Comprehensive instructor README with usage guide

 VERIFICATION:
- Analysis tools work from root directory
- All modules can be analyzed successfully
- Report generation functions correctly
- Clean, logical directory organization
2025-07-13 09:15:49 -04:00
Vijay Janapa Reddi
ba647fcb4b Create comprehensive TinyTorch Module Analyzer & Report Card Generator
🔧 REUSABLE ANALYSIS TOOL:
- Automated educational quality assessment for any module
- Generates detailed report cards with A-F grades
- Identifies specific overwhelm points and scaffolding issues
- Provides actionable recommendations for improvement

📊 KEY FEATURES:
- Single module analysis: --module 02_activations
- Batch analysis: --all modules
- Module comparison: --compare module1 module2
- Multiple output formats: JSON (programmatic) + HTML (visual)
- Tracks 15+ educational metrics and best practices

🎯 ANALYSIS CAPABILITIES:
- Scaffolding quality assessment (1-5 scale)
- Complexity distribution and cliff detection
- Learning progression evaluation
- Student overwhelm factor identification
- Implementation guidance ratio analysis
- Cell-by-cell breakdown with specific issues

📈 EDUCATIONAL FRAMEWORK:
- Based on 'Rule of 3s' and cognitive load theory
- Compares against proven educational targets
- Identifies violations of best practices
- Generates specific, actionable recommendations

🚀 IMMEDIATE VALUE:
- Current results show tensor module (Grade B) vs others (Grade C)
- Reveals autograd module completely missing (Grade F)
- Quantifies the student overwhelm crisis we identified
- Provides roadmap for systematic improvement

💡 USAGE:
python tinytorch_module_analyzer.py --all --save
# Generates comprehensive report cards for all modules

This tool transforms educational quality from subjective assessment
to data-driven, actionable improvement plans.
2025-07-12 22:49:55 -04:00