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

2.4 XIIID Blockchain Design

Blockchain Design Principles for the Educational Ecosystem The XIIID blockchain is built on the following design principles:

  • Learner-Centricity: Empowers learners to maintain sovereignty over their educational data and achievements, enabling secure management and sharing.

  • Multilayered Scalability: With the test-prep market alone estimated at $300 billion, the architecture is designed for high scalability and throughput to support such large-scale markets.

  • Education Data Specialization: Provides data management and access control mechanisms tailored to the unique characteristics of educational data (privacy sensitivity, long-term value, and diverse formats).

Blockchain Technology Stack To meet the technical requirements for education and AI applications, XIIID adopts the following blockchain technologies:

  • Consensus Algorithm: Employs a Proof-of-History(PoH) + Employs a Proof-of-Stake(PoS) Hybrid model consensus mechanism to ensure energy efficiency and high throughput.

  • Scalability Solution: Integrates Solana-based parallel execution or sidechains to achieve low transaction costs and high throughput while maintaining mainnet security.

  • Smart Contracts: Develops an SVM environment that supports parallel processing through a multithreaded architecture, enabling a robust developer ecosystem and incorporating proven security patterns.

  • Cross-Chain Interoperability: Supports asset and data exchange with other blockchains through bridge protocols, enhancing ecosystem scalability.

  • Data Storage: Implements a hybrid on-chain/off-chain storage model to balance cost efficiency, privacy protection, and regulatory compliance for educational data.

Advantages of Web3-Based Educational AI XIIID’s blockchain-based educational AI platform offers the following unique advantages:

  • Scalability and Diversity: Overcomes the limitations of single data centers by leveraging global resources to develop region-specific models and support large-scale users.

  • Open Collaboration and Innovation: Encourages experts from diverse backgrounds to contribute to educational AI development through open-source approaches and incentive structures.

  • Fair Value Distribution: Provides a transparent system ensuring fair compensation for contributors (data providers, model developers, and content creators).

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Last updated 13 days ago