TerrySnell

Professional Introduction: Terry Snell | AI-Powered Educational Content Recommendation Architect
Date: April 7, 2025 (Monday) | Local Time: 15:07
Lunar Calendar: 3rd Month, 10th Day, Year of the Wood Snake

Core Expertise

As an Educational Content Alchemist, I design intelligent recommendation systems that transform raw educational resources into personalized learning journeys. My work combines learning science, AI-driven content analysis, and behavioral engagement modeling to create dynamic pathways for knowledge acquisition.

Technical Capabilities

1. Precision Recommendation Engines

• Cognitive Profiling:

  • Developed EduMatch – A multi-dimensional recommendation algorithm analyzing 40+ learner attributes (prior knowledge, engagement patterns, metacognitive skills)

  • Integrated real-time attention analytics to adjust content recommendations based on focus levels

• Context-Aware Suggestions:

  • Built temporal recommendation models optimizing content delivery timing (e.g., spaced repetition windows)

2. Content Intelligence

• Semantic Mapping:

  • Created knowledge graph embeddings linking 500K+ educational resources across 30+ disciplines

  • Implemented difficulty calibration algorithms that auto-adjust based on learner performance

• Quality Filtering:

  • Designed credibility scoring systems for open educational resources

3. Engagement Optimization

• Motivation Engineering:

  • Developed personalized challenge curves maintaining optimal learning flow

  • Pioneered social recommendation triggers that leverage peer learning patterns

Impact & Collaborations

• Major Deployments:

  • Lead Architect for Coursera's Adaptive Learning Pathways

  • Advisor to UNESCO's Global OER Recommendation Project

• Open Resources:

  • Released EduRecLib – Comprehensive dataset of 10M+ learner-content interactions

Signature Innovations

• Framework: The 3C Recommendation Model (Content, Context, Cognition)

• Publication: "Beyond Collaborative Filtering: The Neuroscience of Educational Recommendations" (Nature Learning Technologies, 2025)

• Award: 2025 EdTech Breakthrough Award for Best Personalized Learning Solution

Optional Customizations

• For EdTech Platforms: "Our system increased content completion rates by 75% while reducing learner overwhelm"

• For Publishers: "Enabled dynamic textbook assembly with 90% relevance scores"

• For Media: "Featured in MIT Technology Review's 'How AI Curates Your Learning Future'"