XIIID
  • Disclaimer
  • Table of Contents
  • 1. Problem Statement
    • 1.1 Global Education Inequality
    • 1.2 Limitations of Traditional AI in Education
    • 1.3 AI and Blockchain: XIIID’s Integrated Approach
    • 1.4 XIIID: Building on RIIId’s Legacy
    • 1.5 XIIID: A Comprehensive Platform for Educational AI
  • 2. Technical Architecture
    • 2.1 XIIID AI Infrastructure and Foundation Model
    • 2.2 XIIID AI Studio
    • 2.3 AI Tutor System
    • 2.4 XIIID Blockchain Design
    • 2.5 Security and Audit Framework
  • 3. Tokenomics & Value Model
    • 3.1 Dual Token Structure Overview
    • 3.2 Token Allocation
    • 3.3 Lockup and Vesting Schedule
    • 3.4 Token Utility and Value Stabilization Mechanisms
    • 3.5 Staking Model
    • 3.6 RWA Token Model Linked to Educational IP
    • 3.7 NFT Integration with Educational Assets
  • 4. Ecosystem & Stakeholders
    • 4.1 Incentive Structure for Educational Stakeholders
    • 4.2 Marketplace and Ecosystem Integration
    • 4.3 Global Expansion Strategy
    • 4.4 Liquidity Management Strategy
  • 5. Governance & Sustainability
    • 5.1 Token Holder Governance System
    • 5.2 Decentralization Transition Plan
    • 5.3 Community Engagement and Transparency
    • 5.4 Technical Sustainability and Risk Management
  • 6. Strategic Roadmap
    • 6.1 Development and Expansion Phases
    • 6.2 Key Milestones
    • 6.3 Marketing and Community Expansion Strategy
  • 7. Team & Partners
    • Core Team
    • Team
    • Partners
  • 8.Conclusion
  • References
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  1. 2. Technical Architecture

2.3 AI Tutor System

XIIID’s AI Tutor is the platform’s flagship educational product, delivering personalized learning experiences and intelligent support as a next-generation educational solution.

Core Educational Value of the AI Tutor

  • Personalized Learning Pathways: Offers optimized learning sequences tailored to individual preferences, levels, and goals. Through real-time analysis of learning data, it continuously adjusts pathways, leveraging strengths and addressing weaknesses strategically.

  • Motivation and Sustained Learning: Maintains learner engagement through gamification, real-time feedback, and goal-setting. It balances extrinsic achievement certifications with intrinsic motivational factors.

  • Discussion-Based Learning Support: Utilizes advanced language models to facilitate diverse questions, answers, and discussions. Beyond mere knowledge transfer, it fosters critical thinking, problem-solving, and creative approaches through Socratic dialogue.

Support for Diverse Learning Environments The AI Tutor provides a consistent educational experience across various devices and learning contexts:

  • Multi-Platform Support: Optimized interfaces for laptops/PCs (primarily for university students and adult learners), mobile devices (for on-the-go learning and short sessions), AR/VR devices (for immersive and experiential education), and robots (for physical interaction, experiment demonstrations, and classroom activities).

  • Online-Offline Integration: Supports a blended learning model that seamlessly connects digital learning experiences with physical classroom environments.

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Last updated 1 month ago