Модель глубокого обучения на основе блокчейна для интеллектуальной образовательной среды

The rapid digital transformation of education has accelerated the adoption of online learning platforms and Open Educational Resources (OER), fundamentally reshaping how knowledge is created, accessed, and shared

Recent studies indicate that these challenges are closely linked to the design of centralized educational infrastructures. Research on blockchain-based educational data management shows that traditional systems suffer from inefficiencies such as data tampering risks, high verification costs, and limited interoperability

Recent literature further highlights blockchain’s transformative potential in education. Comprehensive reviews indicate that blockchain supports the development of secure, paperless, and decentralized educational infrastructures that contribute to sustainable digital transformation

Existing blockchain-based educational frameworks mainly focus on isolated functions such as credential verification, certificate authentication, and secure content storage

The comparative analysis indicates that existing blockchain-based educational studies mainly emphasize credential verification, governance, or general blockchain adoption. However, limited attention has been given to integrated educational resource monetization, decentralized storage scalability, and automated royalty distribution. The proposed framework addresses these gaps by combining secure sharing, smart-contract automation, distributed storage, and token-based incentives within a unified architecture.

1.1. Research Contributions and Novelty

While blockchain technology, InterPlanetary File System (IPFS), smart contracts, and token-based incentive mechanisms have been individually investigated in previous studies. According to

The primary contributions of this study are as follows:

1. Integrated Educational Resource-Sharing Architecture. This study proposes a multi-layer blockchain architecture that integrates educational content providers, learners, institutions, decentralized storage systems, smart contracts, and token-based transactions within a unified platform

2. Educational Content Monetization Mechanism. The framework introduces a token-enabled monetization model that allows educators, researchers, and content creators to receive compensation for sharing high-quality educational resources. This mechanism promotes sustainable content development while encouraging broader participation within digital learning ecosystems.

3. Automated Royalty Distribution Model. The proposed framework employs smartcontracts to automatically calculate and distribute royalties whenever educational resources are accessed, purchased, licensed, or reused. This eliminates manual payment processing, improves transparency, and ensures fair compensation for content creators.

4. Educational-Sector-Specific Blockchain Governance Workflow. The framework incorporates governance procedures tailored to educational environments, including content validation, institutional approval, ownership verification, access control, dispute resolution, and transaction auditing. These governance mechanisms address challenges unique to educational resource management and stakeholder collaboration.

5. Theoretical Evaluation of Security, Transparency, and Trust. The study further provides a theoretical assessment of the proposed framework's ability to enhance transparency, data integrity, ownership protection, traceability, and trust among educational stakeholders through decentralized blockchain mechanisms.

The education sector has undergone significant digital transformation in recent years, leading to increased reliance on electronic records, online learning platforms, and digital credential management systems

2.1. Blockchain Technology in Educational Systems

Blockchain is a decentralized distributed ledger technology that records transactions across multiple nodes in a secure and immutable manner. Unlike traditional centralized databases, blockchain ensures that stored information cannot be altered without network consensus, thereby enhancing data integrity and security. In educational environments, blockchain technology has attracted considerable attention due to its potential to securely manage academic records, student credentials, transcripts, and certificates. According to Alwakid

2.2. Blockchain Applications in Education

Blockchain technology has been applied in various educational contexts, including student record management, digital certificates, academic credential verification, learning achievement tracking, and lifelong learning portfolios. One of the most widely explored applications is digital credential management. Traditional certificate verification processes are often time-consuming and susceptible to forgery. Blockchain-based systems provide immutable digital certificates that can be independently verified by employers, universities, and professional organizations without relying on manual verification procedures. Researchers have also proposed blockchain-enabled systems for managing student transcripts and academic achievements

2.3. Smart Contracts for Academic Credential Management

Smart contracts are self-executing programs deployed on blockchain platforms that automatically perform predefined actions when specified conditions are satisfied. In educational systems, smart contracts can automate numerous administrative processes, reduce operational costs and minimize human intervention

2.4. Existing Blockchain-Based Educational Frameworks

Numerous blockchain-based educational frameworks have been proposed to address challenges associated with credential verification, record management, and academic data security

Recent studies have also explored integrating blockchain with emerging technologies such as cloud computing, artificial intelligence, and the Internet of Things to create intelligent educational ecosystems

2.5. Research Gap and Motivation

The reviewed literature demonstrates that blockchain technology has been widely applied in educational environments for credential verification, certificate authentication, transcript management, and secure academic record storage

However, limited attention has been given to educational resource sharing, creator compensation, content monetization, and governance mechanisms that support sustainable knowledge exchange

Based on the identified gaps, this study proposes a blockchain-enabled educational ecosystem that extends beyond credential verification and record management

This section presents the proposed blockchain-based framework for secure and transparent agricultural supply chain management

3.1. Proposed System Architecture

The proposed architecture employs a layered, decentralized architecture for secure and transparent educational resource sharing

Proposed Multi-Layer Blockchain Architecture for Educational Resource Sharing and Monetization

DOI:10.60797/COMP.2026.11.1.3

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Figure 1 presents the proposed multi-layer blockchain architecture designed to support secure educational resource sharing and monetization within higher education institutions. The architecture consists of five interconnected layers: the User Layer, Application Layer, Blockchain Layer, Storage Layer, and Token Economy Layer. Each layer performs specific functions that collectively enable secure content management, transparent transactions, decentralized verification, and incentive-driven participation. The User Layer represents the primary stakeholders, including students, educators, researchers, institutions, and external content consumers. These users interact with the system through the Application Layer, which provides interfaces for content submission, resource access, credential verification, and transaction management.

The Blockchain Layer forms the core of the framework by maintaining immutable transaction records, executing smart contracts, and ensuring transparency and trust among participants. The Storage Layer manages educational resources and metadata using distributed storage mechanisms, thereby reducing dependence on centralized repositories while enhancing data availability and integrity. The Token Economy Layer introduces incentive mechanisms that reward users for contributing, sharing, reviewing, and utilizing educational resources. Through token-based transactions, the framework encourages active participation and sustainable resource exchange within the educational ecosystem. Together, these layers provide a secure, transparent, and decentralized environment for educational content management and value exchange.

3.2. System Workflow

The system workflow begins with an educator uploading a resource, which is hashed and stored in distributed storage (e.g., IPFS), while its metadata is recorded on the blockchain

System workflow architecture components illustrating the key processes and interactions within the proposed platform

DOI:10.60797/COMP.2026.11.1.4

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As shown in Fig. 2, the system workflow of a decentralized educational platform is illustrated. It shows how an educator uploads a resource, which is then securely stored in distributed storage and linked to the blockchain through metadata

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. A smart contract is created to define pricing and access rules. When a learner requests the resource, payment is made using digital tokens, and the smart contract automatically verifies the transaction and grants secure access. Overall, the diagram highlights a secure, automated, and transparent process for sharing and monetizing educational content without intermediaries

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.

3.2.1. Operational Workflow and Transaction Sequence

The operational workflow begins when an educator uploads educational content to distributed storage such as IPFS

3.3. Security Mechanism

The proposed framework incorporates a robust token-based economy designed to ensure fair compensation, transparency, and sustainability within the educational ecosystem

Where:

E = total earnings;

S = subscription pool;

α = proportional share.

Equation (2) ensures fair and automated revenue distribution among content creators according to their contribution levels. The proportional share can be determined using predefined smart-contract rules stored on the blockchain.

Table 2 presents a summary of key monetization models used in blockchain-based educational systems. These models include pay-per-use, subscription-based, token-based, royalty distribution, freemium, and licensing approaches, each offering distinct advantages in flexibility, fairness, and revenue generation, while presenting limitations such as complexity, revenue uncertainty, or user accessibility constraints.

3.4. Security Features

The proposed framework incorporates several security mechanisms to protect educational resources and user data. Blockchain records ensure data integrity and prevent unauthorized modification of transactions and metadata

Where:

D = original educational resource;

H = hash value;

h(⋅) = cryptographic hash function.

Equation (3) guarantees that any modification of educational content results in a completely different hash value, enabling immediate detection of unauthorized alterations. Authentication mechanisms rely on public-key cryptography, which can be expressed as:

Where:

M = original message;

C = encrypted ciphertext;

Kpub = public key.

Privacy protection through encryption can be further represented as:

Where:

D = sensitive data;

K = encryption key;

C = encrypted data.

Equations (4) and (5) ensure confidentiality and secure communication among participants within the decentralized educational ecosystem. Finally, distributed consensus ensures trust across the network and can be abstractly expressed as:

Where:

B = candidate block;

Vi(B) = validation vote of node i;

N = total validating nodes.

Equation (6) represents the aggregation of validation votes required to approve and append a block to the blockchain ledger.

3.4.1. Cryptographic Security Mechanisms

The proposed framework integrates cryptographic mechanisms to ensure data integrity, confidentiality, and authentication

Where:

D = educational resource data;

H = blockchain hash value.

This mechanism ensures that any modification to educational content generates a different hash value, making tampering immediately detectable. The encryption process is represented as:

while the decryption process is expressed as:

Where:

M = original message or educational data

C = encrypted ciphertext;

Kpub = public key;

Kpriv = private key.

These mechanisms ensure secure data transmission, confidentiality, authentication, and non-repudiation across the decentralized blockchain network.

Secured layer features illustrate the core security mechanisms, including data integrity, authentication, encryption, and consensus processes

DOI:10.60797/COMP.2026.11.1.6

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As shown in Fig. 3, a layered, decentralized system is shown in which users interact with the platform at the top, followed by application services such as content management and smart contracts. Beneath this, the blockchain layer ensures secure transactions and automation, while distributed storage (e.g., IPFS) handles content storage

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,

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. At the bottom, the token economy enables payments, rewards, and incentives, completing a secure and transparent ecosystem. The framework employs SHA-256 for integrity verification of educational resources, while RSA-based public-key cryptography supports secure authentication and encrypted communication among participants in the decentralized network.

3.5. Use Cases

The proposed blockchain-based framework supports secure, transparent, and decentralized management of educational resources in higher learning institutions

3.5.1. Universities

The framework enables universities and other higher learning institutions to securely share lecture materials and research publications

3.5.2. Online Learning Platforms

For e-learning providers, the proposed system enables efficient and secure course monetization through blockchain-supported token-based payments

3.5.3. Research Communities

The platform enables researchers and academic institutions to securely share datasets and publications

3.6. Advantages of the Proposed Framework

The proposed framework adopts a decentralized trust model, eliminating reliance on central authorities while ensuring reliability through distributed consensus

3.7. Challenges and Limitations

Despite the potential benefits of blockchain-enabled educational systems, several practical challenges may hinder large-scale adoption in higher learning institutions

3.8. Framework Validation

Because this study is conceptual in nature and does not include prototype implementation or empirical experimentation, the proposed framework was evaluated through theoretical analysis, workflow assessment, and comparative examination against traditional centralized learning management systems

3.8.1. Scenario-Based Validation

In a typical use case, an educator uploads educational content to distributed storage such as the InterPlanetary File System (IPFS), where a cryptographic hash is generated and recorded on the blockchain to ensure integrity and traceability. A smart contract then defines pricing, access permissions, and royalty distribution rules. When a learner requests access, payment is processed using digital tokens, and the smart contract automatically verifies the transaction, grants access, and distributes royalties to the content creator without intermediary involvement

3.8.2. Comparative Theoretical Analysis

Comparative Theoretical Analysis was conducted between traditional Learning Management Systems (LMS) and the proposed blockchain-based framework. The comparison focused on transparency, ownership tracking, tamper resistance, revenue automation, and dependence on intermediaries to evaluate the framework’s effectiveness in improving security, trust, and operational efficiency in educational resource-sharing systems.

The comparative theoretical analysis suggests that the proposed blockchain framework has the potential to improve transparency, traceability, trust, and automation when compared with traditional learning management systems

The theoretical analysis suggests that blockchain technology can improve trust, security, transparency, and monetization in educational resource-sharing systems. By removing centralized control, the framework reduces single points of failure and enhances transparency through immutable transaction records. The token-based economic model also encourages active participation from educators and content creators. Unlike existing blockchain-based educational systems that mainly focus on credential verification, the proposed framework integrates decentralized storage, smart contracts, monetization, and royalty distribution within a unified architecture. Despite these advantages, challenges such as scalability, regulatory uncertainty, and adoption barriers remain important considerations for future research.

This paper presents a robust decentralized blockchain framework that enables trusted, verifiable, and efficient sharing and monetization of educational resources. By leveraging blockchain technology and smart contracts, the proposed framework is designed to address critical challenges such as trust, data integrity, security, and fair compensation for content creators. The proposed framework not only streamlines resource distribution but also introduces a sustainable, token-driven economic model that incentivizes participation and knowledge exchange