College information quality education system and method based on block chain technology

Abstract

The invention belongs to the technical field of blockchain and informatization education application, and discloses a college information quality education system based on a blockchain technology, and the system comprises an information quality education system, a blockchain network, an information quality education blockchain platform and a blockchain technology system. According to the college information quality education system and method based on the block chain technology, a block chain distributed account book and an education evaluation system are innovatively and deeply fused; according to the system, a decentralized education chain network is constructed, multi-element data of student learning tracks, teacher teaching efficiency and librarian service records are linked and stored, and cross-mechanism data mutual recognition is realized by using an intelligent contract; the core mechanism of the method comprises the following steps: establishing a learning behavior-resource contribution-teaching evaluation three-dimensional excitation model, and quantifying digital literacy growth of teachers and students through learning currency token; a dynamic weight distribution algorithm is developed, and multi-dimensional cross validation is carried out on data such as course sign-in, practice operation and academic achievements.

Description

Technical Field

[0001] The present invention belongs to the field of blockchain and information-based education application technology, and specifically provides a university information literacy education system and method based on blockchain technology. Background Art

[0002] The blockchain-based university information literacy education system is a decentralized education platform built using distributed ledgers, smart contracts, and encryption algorithms. It encrypts and stores student learning behavior data (such as course interaction records, resource access, and practical operation logs) and teacher teaching process data (such as courseware contributions, academic guidance, and evaluation feedback) in immutable blockchain nodes, creating a lifelong, traceable digital educational archive. The system leverages IoT devices and education platform APIs to automatically collect multi-dimensional data, processing it through zero-knowledge proofs before uploading it to the blockchain. Combining a pre-set evaluation model with a dynamic weighting algorithm, it generates a trusted Learning Effectiveness Index (LEI) and Teaching Contribution Value (TCI) through smart contracts, and implements process-based incentives using digital tokens (such as learning coins). Its core innovation lies in breaking down inter-university data barriers, supporting cross-institutional authentication and resource recognition, and ensuring data sovereignty through privacy-preserving technologies. This system provides a transparent, quantifiable, and lifelong technical solution for university information literacy education. University information literacy education is a core component of talent development in the information age, but the current system suffers from a single educational format and an outdated evaluation system. Most universities offer only isolated courses like literature retrieval, failing to incorporate them into their talent development programs. This leads to a disconnect between information literacy education and professional teaching, and evaluation mechanisms rely on subjective assessments by librarians, lacking incentives and process-based data support. Blockchain technology's distributed, tamper-proof, and smart contract-based features offer new solutions to these challenges. For example, MIT has uploaded its graduation certificates to the blockchain through the Blockcerts platform, ensuring lifelong access to academic credentials. Four universities, including Henan University of Finance and Economics, have established a consortium blockchain to facilitate course sharing and credit recognition. Student course registration records across campuses are stored on the blockchain, ensuring data authenticity and trustworthiness. Regarding evaluation, blockchain can build a multi-dimensional evaluation system: using smart contracts to record process data such as student classroom interactions and project achievements, combined with teacher evaluations to generate a dynamic LEI index. Token incentives can also be used to reward contributors of high-quality teaching resources, such as the Gilgamesh platform, which uses GIL tokens to incentivize academic creation. Furthermore, blockchain's hash fingerprint and fragmented storage technologies can protect private data. For example, student reward and punishment records can be split and stored across different nodes, requiring threshold signatures for reassembly, ensuring both data security and sharing requirements. This technological integration not only reshapes the educational trust mechanism, but also promotes the transformation of information literacy education from knowledge indoctrination to ability certification. Summary of the Invention

[0003] The purpose of the present invention is to provide a university information literacy education system and method based on blockchain technology to solve the problems raised in the above background technology.

[0004] In order to achieve the above-mentioned purpose, the present invention provides the following technical solutions: a university information literacy education system based on blockchain technology, the system comprising an information literacy education system, a blockchain network, an information literacy education blockchain platform and a blockchain technology system; The information literacy education system is jointly constructed by the college, the library, and the academic affairs office. Based on the OBE concept and ACRL, it expands information literacy education into a four-year through-train training system for scientific ability and literacy, including three levels of education modules: guidance, enhancement, and comprehensive. The blockchain network is built based on asymmetric encryption, hash functions, P2P networks, Merkle trees, consensus mechanisms, and smart contracts. All participants access the network through the Internet to form a self-organizing P2P network, which records the entire learning and teaching process of students, teachers, and librarians in the form of blocks. The information literacy education blockchain platform integrates an effectiveness database, a course resource module, a learning currency module, an assessment module, a management module, and a reporting module, and supports the publishing of learning tracks, proof-of-work or proof-of-stake mining, and learning currency transactions; The blockchain technology system achieves tamper-proof storage of educational data through chain structure, timestamps and data blocks, and automatically executes the uploading, authentication, circulation and sharing of educational resources through smart contracts; By building a three-dimensional collaborative governance model, the college led the development of a cross-disciplinary competency map, the library provided embedded disciplinary services, and the Academic Affairs Office coordinated the micro-certification system and mutual recognition of course resources. Based on the OBE-ACRL framework, 12 core competency indicators were developed through reverse course design, combined with contextual assessment tools in virtual simulation experiments to achieve competency-based training. A hybrid consensus mechanism was adopted at the technical level. Core data was applied with the PBFT algorithm to ensure strong consistency. Learning behavior logs were improved through a PoS mechanism, and a reputation value system was introduced to resist attacks. Data storage was separated into hot and cold zones, and a Merkle-Patricia tree was used to achieve millisecond-level query response for millions of users. The platform innovated a three-level learning coin economic system, integrating AI adaptive learning contracts with academic integrity contracts, building a metaverse learning community, and issuing NFT digital credentials. A three-dimensional evaluation matrix of process data, competency maps, and social evaluation was combined with a predictive analysis engine and a blockchain governance DAO to form a continuous improvement mechanism.

[0005] Preferably, the information literacy education blockchain platform includes an effectiveness database, a course resource module, a learning currency module, an assessment module, a management module, and a reporting module; The efficiency database stores full-dimensional behavioral data of teachers, students and librarians. The course resource module supports blockchain storage and sharing of online and offline and practical resources. The learning currency module realizes financial functions such as exchange, transaction and pledge. The assessment module deploys intelligent evaluation scales and behavior monitoring. The management module provides user authentication, resource review and digital certificate full-cycle management. The reporting module automatically generates education efficiency analysis reports through smart contracts. Each module relies on a chain structure to achieve data interconnection and interoperability, forming a complete closed loop covering learning trajectory storage, intelligent resource flow, capacity quantitative assessment, and education quality monitoring, providing trusted infrastructure support for the modernization of education governance.

[0006] Preferably, the blockchain technology system constructs a secure storage and sharing mechanism for educational data through multi-level technology integration: first, asymmetric encryption technology is used to achieve end-to-end encryption of user identity authentication and transaction data to ensure the confidentiality of data transmission; second, a unique digital fingerprint is generated for each data block through a hash algorithm, and the Merkle tree structure is used to achieve rapid traceability and integrity verification of data changes; at the storage level, a decentralized storage architecture is constructed based on the P2P network, so that educational data is stored in a dispersed manner across all nodes of the network, and a distributed synchronization mechanism is combined to ensure high data availability; through a dynamically adapted proof-of-work or proof-of-stake consensus algorithm, while ensuring that all nodes in the network achieve data consistency, it effectively resists malicious tampering attacks; finally, relying on smart contracts to establish automated execution rules, the authentication access, authority management, and flow tracing operations of educational resources are coded and autonomous, forming a full-process security closed loop from data generation to application; The system uses asymmetric encryption to ensure identity authentication and data transmission security, hash pointers combined with Merkle trees to achieve millisecond-level data traceability verification, P2P distributed storage architecture combined with erasure code technology to ensure 99.99% availability, dynamic consensus mechanism automatically switches PoW / PoS mode according to educational scenarios, and smart contracts encode the rules of the entire life cycle of educational resources, forming an anti-tampering, traceable, and self-governing educational data security foundation.

[0007] Preferably, the consensus of the blockchain network refers to the consensus mechanism achieved in the blockchain network through the collaborative action of four types of miners: student miners contribute computing power by participating in course learning and social practice activities, transforming educational behavior into the driving force of network maintenance; teacher miners participate in mining based on course teaching and resource development, and their professional knowledge output supports the operation of the blockchain; librarian miners provide computing power through library service optimization and digital resource maintenance to ensure the stable operation of educational infrastructure; academic affairs miners assume the functions of consensus supervision and dispute arbitration to ensure that all nodes in the network achieve data consistency; these four types of roles form a closed-loop ecosystem of computing power supply, professional support, service guarantee and rule maintenance; The blockchain network innovatively builds a consensus mechanism for educational scenarios: student miners convert course learning and social practice behaviors into computing power, teacher miners contribute computing power through knowledge output and resource development, librarian miners support infrastructure with service optimization, and academic affairs miners perform consensus supervision and dispute resolution, forming an education governance paradigm in which behavior is computing power and knowledge is value, ensuring data consistency across the entire network while building a decentralized education trust system.

[0008] Preferably, the assessment module implements the educational effectiveness evaluation in the following ways; By constructing a multi-dimensional evaluation scale covering knowledge mastery, practical ability, and innovative literacy, it supports a multi-faceted participation model of student self-evaluation, teacher-student peer evaluation, and third-party evaluation by external experts. Secondly, it relies on mobile terminals to collect evaluation behavior data throughout the process, accurately recording evaluation duration, operation trajectory process indicators. Thirdly, it uses blockchain distributed evidence storage technology to encrypt evaluation data and form an unalterable timestamp evidence chain. Finally, based on the preset smart contract consensus rules, it automatically verifies and corrects abnormal scoring patterns to ensure the objectivity and credibility of the evaluation results. Construct a three-dimensional evaluation matrix of knowledge-practice-innovation, record the entire process data of evaluation operations through the mobile behavior collection system, use blockchain distributed ledger technology to form a timestamp encrypted evidence chain, combine the built-in scoring deviation threshold model of the smart contract, monitor abnormal scoring patterns in real time and trigger the automatic verification mechanism, and finally generate credible evaluation results verified by multi-party consensus, realizing decentralized and credible governance of education evaluation.

[0009] Preferably, the reporting module generates the education effectiveness report in the following manner; Based on preset rules, it automatically aggregates cross-dimensional data on student learning trajectories, teacher teaching input, and librarian service efficiency to build a digital portrait of users; supports authorized sharing between roles and joint analysis of multi-source data under a privacy protection framework to explore the associated value of educational behavior; generates customized diagnostic reports covering course participation, resource utilization, and teaching innovation indicators based on personalized needs; and finally deeply couples the report quality level with the academic coin incentive mechanism to form a virtuous cycle of "data-driven-accurate feedback-continuous improvement", effectively activating the inherent kinetic energy of all subjects in the educational ecosystem.

[0010] Preferably, the specific steps of the educational method are as follows: Step 1: Users create blockchain accounts and access the P2P network through smart terminals: Users create accounts and generate key pairs through multi-factor authentication, configure permissions based on roles, access the P2P network, synchronize data and verify identities, embed smart contracts to associate resource permissions and student coin wallets, and build a decentralized identity system. Step 2: Trigger smart contracts through course learning, resource usage, or social practice. Course behavior triggers the contract, resource interaction is uploaded to the chain through an oracle, and IoT devices are triggered by edge computing signatures. All are accompanied by metadata and environmental context to ensure the authenticity of the behavior. Step 3: Create a new block and set initial parameters. After the smart contract is triggered, the system dynamically generates a Nonce value to prevent replay, presets learning coins by role, and reserves handling fees. The contract bytecode is hashed using Keccak-256 to generate a codehash and stored in the block header. The aggregated data generates a Merkle root as an integrity certificate. The block header embeds an education stage identifier to support time retrieval. Step 4: Preprocess transaction data and store it on-chain. Data preprocessing uses layered encryption and compression: structured data is encrypted using ZKP; unstructured data is stored on IPFS; sensitive information is stored in SHA-3 fragments; and BLS aggregate signatures reduce terminal load. Step 5: Execute the academic coin transaction and update the blockchain; the circulation of academic coins undergoes four layers of verification: checking the legality and dynamically adjusting the value, miners competing for the right to record the account, MPT recording the balance and snapshot, and synchronizing data to trigger the evaluation update; Step 6: Query the results of the education effectiveness evaluation through the client: The query function supports multi-dimensional perspectives: dynamic dashboards display data, intelligent reports generate indexes, on-chain appeals trigger reviews, cross-chain interoperability verifies achievements, and logs are uploaded to the chain to prove literacy.

[0011] Preferably, the upload and authentication process of the educational resources is as follows: the resource builder uploads the resources and submits an authentication application, the platform automatically encrypts the resources with a private key and generates a unique block, then broadcasts the block to the entire network and starts the consensus authentication mechanism; when more than 51% of the nodes pass the verification, the block will be timestamped and the entire network will be synchronized to ensure reliable storage and distributed sharing of resources.

[0012] The beneficial effects of the present invention are as follows: 1. The present invention's university information literacy education system and method, based on blockchain technology, innovatively integrates blockchain distributed ledgers with education evaluation systems. By building a decentralized education chain network, the system stores multiple data sets, including student learning trajectories, teacher teaching effectiveness, and librarian service records, on-chain, and utilizes smart contracts to achieve cross-institutional data mutual recognition. Its core mechanisms include: establishing a three-dimensional incentive model of "learning behavior-resource contribution-teaching evaluation," quantifying the digital literacy growth of teachers and students through the use of learning currency tokens; developing a dynamic weight allocation algorithm to perform multi-dimensional cross-validation on data such as course attendance, practical operations, and academic achievements, and filtering out anomalous evaluations through a node consensus mechanism; designing a lightweight cross-chain protocol that supports access to external systems such as the China Higher Education Student Information and Career Center (CHSICC) and MOOC platforms, enabling on-chain verification of data such as academic certification and competition honors, and enabling the exchange of learning currency tokens. The system not only forms an unalterable personal digital literacy passport and supports the development of lifelong learning archives, but also provides an objective benchmark for university teaching quality assessment through educational big data governance, promoting the transformation of education evaluation from a single results-oriented approach to full-process value-added evaluation, and providing a technical paradigm for building a new intelligent and trustworthy education ecosystem.

[0013] 2. This blockchain-based university information literacy education system utilizes teachers and librarians as the primary providers and builders of information literacy education resources. At the same time, university students, while not only users of these resources, can also be builders, providing high-quality information literacy education resources to the blockchain network platform. By leveraging blockchain's smart contracts and consensus mechanisms, a blockchain-based university information literacy education system with upload, authentication, transfer, and sharing mechanisms is constructed, effectively addressing the low quality of information literacy education in universities. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a structural diagram of the university information literacy education system based on blockchain technology of the present invention; Figure 2 This is a processing flow chart of the university information literacy education block of the present invention; Figure 3 This is a flowchart of the evaluation of the university information literacy education system based on blockchain technology in the present invention; Figure 4 This is a network authentication flow chart of the university information literacy education system based on blockchain technology of the present invention; Figure 5 This is a flowchart of a specific method for information literacy education in universities based on blockchain technology. DETAILED DESCRIPTION

[0015] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0016] like Figures 1 to 5 As shown, an embodiment of the present invention provides a university information literacy education system based on blockchain technology, which includes an information literacy education system, a blockchain network, an information literacy education blockchain platform, and a blockchain technology system; The information literacy education system is jointly constructed by the college, the library, and the academic affairs office. Based on the OBE concept and the ACRL Framework for Information Literacy in Higher Education, it expands information literacy education into a four-year, integrated training system for scientific ability and literacy, including three levels of education modules: guidance, enhancement, and comprehensive. The blockchain network is built based on asymmetric encryption, hash functions, P2P networks, Merkle trees, consensus mechanisms, and smart contracts. All participants access the network through the Internet (5G / 4G / 3G) to form a self-organizing P2P network, which records the entire learning and teaching process of students, teachers, and librarians in the form of blocks. The information literacy education blockchain platform integrates an effectiveness database, a course resource module, a learning currency module, an assessment module, a management module, and a reporting module, and supports the publishing of learning tracks, proof-of-work (PoW) or proof-of-stake (PoS) mining, and learning currency transactions. The blockchain technology system achieves tamper-proof storage of educational data through chain structure, timestamps and data blocks, and automatically executes the uploading, authentication, circulation and sharing of educational resources through smart contracts.

[0017] By building a three-dimensional collaborative governance model, the college led the development of a cross-disciplinary competency map, the library provided embedded disciplinary services, and the Academic Affairs Office coordinated the micro-certification system and mutual recognition of course resources. Based on the OBE-ACRL framework, 12 core competency indicators were developed through reverse course design, combined with contextual assessment tools in virtual simulation experiments to achieve competency-based training. A hybrid consensus mechanism was adopted at the technical level. Core data was applied with the PBFT algorithm to ensure strong consistency. Learning behavior logs were improved through a PoS mechanism, and a reputation value system was introduced to resist attacks. Data storage was separated into hot and cold zones, and a Merkle-Patricia tree was used to achieve millisecond-level query response for millions of users. The platform innovated a three-level learning coin economic system, integrating AI adaptive learning contracts with academic integrity contracts, building a metaverse learning community, and issuing NFT digital credentials. A three-dimensional evaluation matrix of process data, competency maps, and social evaluation was combined with a predictive analysis engine and a blockchain governance DAO to form a continuous improvement mechanism.

[0018] like Figure 2 As shown, the steps of the college students' information literacy education block processing process include: Users (including students, teachers, librarians, academic administrators, etc.) create blockchain account addresses through the network client and then connect to the internal P2P network through the external interface.

[0019] Users trigger smart contracts in three ways. First, users (including students, teachers, librarians, and academic administrators) connect to the internal blockchain account through an external network client and send a transaction using a digital signature and a 20-digit alphanumeric hash of their account address to trigger the internal smart contract. Second, after university students complete an information literacy course, course design, or graduation project, a new transaction block is published by a teacher or librarian. Third, after university students complete online educational resources, library resources, or social practice, a new transaction block is published by the information system.

[0020] Create a new smart contract based on the newly released transaction block, set the Nonce value to 0, set the account balance to value, set the storage value to zero, set the contract's codehash to the hash value of an empty string, and then initialize the smart contract.

[0021] Text preprocessing can be done using UTF-8 or the web3.toHex() method. This allows for direct storage of text on the blockchain, rather than in an external database like MySQL. This ensures complete decentralization and tamper-proof data storage. Because blockchain storage space is limited, text or paragraphs are converted to Arabic numerals to store text on the blockchain. This reduces memory usage and facilitates text storage, allowing the numerals to be stored directly on the blockchain.

[0022] The transaction is executed, and the student trades student coins with the bookkeeper. The smart contract is sent to the block, which is then packaged into the blockchain. At this point, the text entered by the student has been saved on the blockchain, and a block has been formed.

[0023] Through the query module and using the decoding method, the evaluation results of teachers on students, librarians on students, and students on students can be viewed from the client.

[0024] like Figure 4 As shown in the figure, the steps of the network authentication process of the university information literacy education system based on blockchain technology are as follows: Resource builders upload resources to the network; The system uses private keys to encrypt resources and store records in blocks; The system broadcasts the block of storage resources to the entire network, waiting for verification by other users; After more than 51% of the node users pass the authentication, the block of storage resources will be timestamped and circulated in the entire network in a P2P manner.

[0025] Smart contracts on the blockchain regularly check the contract status within the resource network authentication mechanism, examining each contract's transactions, state machines, and trigger conditions. Resource information that meets these conditions is broadcast to the entire network, awaiting consensus. Resource information that doesn't meet these conditions remains stored on the blockchain, undergoing a new round of information verification. Validating nodes first verify the signature to ensure the validity and accuracy of the resource information. Passing this verification process places the resource information in the consensus queue. Once more than 51% of validating nodes have verified the resource, the system timestamps it and circulates it across the network in a peer-to-peer (P2P) fashion, notifying the resource creator. Once the resource is successfully shared across the network, the smart contract's built-in state machine assesses the resource status within the contract. Once all resource information has been sequentially executed, the state machine marks the resource status as completed and removes the resource from the consensus queue. Otherwise, the resource status is marked as in-progress and remains in the consensus queue, awaiting a new round of verification until it is complete.

[0026] The network certification of the university information literacy education system based on blockchain technology has the following characteristics: (1) Ecological operation. Users (students, teachers, librarians, and academic affairs staff) voluntarily participate in the information literacy education resource review and certification work, and the smart contract ensures the automatic execution of the operation mechanism. At the same time, the open network certification mechanism ensures that any user, including students, teachers, librarians, and academic affairs staff, can participate in resource sharing, which is conducive to gathering more information literacy education resources. (2) Scientific resource certification. Information literacy education resources are broadcast to the entire network in the form of blocks. Smart contracts ensure the automatic execution of information literacy education resource certification work based on pre-defined rules and procedures. When more than 51% of the nodes pass the certification, they can be circulated in the entire network. There is no possibility of regret, tampering, intervention, or manipulation, ensuring the scientific and accurate resource certification. (3) Transparency of resource information. Given the open source and transparent characteristics of blockchain, the operating rules and resource information of the entire network certification mechanism are open and transparent to all users. Users cannot deceive other users during the resource certification and review process, ensuring the authenticity of the information literacy education resource certification process. (4) Fairness of workload certification. The contribution (workload) of the creators of information literacy education resources to resource uploading, updating, and maintenance can be fully guaranteed based on "proof of work" to ensure the reasonable distribution of interests among all participants.

[0027] The information literacy education system further includes an interdisciplinary integrated education module, which supports the deep integration of information literacy and professional courses; the blockchain network adopts a layered architecture design, with the bottom layer being the education data storage layer, the middle layer being the consensus and incentive layer, and the top layer being the application interface layer; the information literacy education blockchain platform supports cross-platform data interoperability and can be seamlessly connected with the existing academic affairs system and library management system of colleges and universities.

[0028] The information literacy education blockchain platform includes an effectiveness database, a course resource module, a learning currency module, an assessment module, a management module, and a reporting module. The effectiveness database is used to store the personal basic information and behavioral data of students, teachers, and librarians; the course resource module is used to support the uploading and sharing of regular courses, online courses, and social practice resources; the academic currency module is used to realize the exchange, query, and transaction functions of academic coins; the assessment module is used to deploy self-assessment / mutual assessment scales and evaluation behavior monitoring devices; the management module mainly provides user management, resource management, and certificate management functions; the reporting module generates education effectiveness reports based on smart contracts.

[0029] The efficiency database stores full-dimensional behavioral data of teachers, students and librarians. The course resource module supports blockchain storage and sharing of online and offline and practical resources. The learning currency module realizes financial functions such as exchange, transaction and pledge. The assessment module deploys intelligent evaluation scales and behavior monitoring. The management module provides user authentication, resource review and digital certificate full-cycle management. The reporting module automatically generates education efficiency analysis reports through smart contracts. Each module relies on a chain structure to achieve data interconnection and interoperability, forming a complete closed loop covering learning trajectory storage, intelligent resource flow, capacity quantitative assessment, and education quality monitoring, providing trusted infrastructure support for the modernization of education governance.

[0030] The performance database adopts a distributed storage architecture and supports multi-dimensional data cross-validation; the course resource module has a built-in resource quality assessment algorithm and dynamically adjusts the resource recommendation weight based on user behavior data; the academic currency module supports academic currency exchange with the campus card system and can be expanded to off-campus cooperative institutions; the assessment module uses blockchain evidence storage technology to ensure that the evaluation data cannot be tampered with.

[0031] Among them, the blockchain technology system constructs a secure storage and sharing mechanism for educational data through multi-level technology integration: first, asymmetric encryption technology is used to achieve end-to-end encryption of user identity authentication and transaction data to ensure the confidentiality of data transmission; secondly, a unique digital fingerprint is generated for each data block through a hash algorithm, and the Merkle tree structure is used to achieve rapid traceability and integrity verification of data changes; at the storage level, a decentralized storage architecture is built based on the P2P network, so that educational data is stored in a distributed manner across all nodes of the network, and a distributed synchronization mechanism is combined to ensure high data availability; through dynamically adapted proof-of-work (PoW) or proof-of-stake (PoS) consensus algorithms, while ensuring that all nodes in the network achieve data consistency, it effectively resists malicious tampering attacks; finally, relying on smart contracts to establish automated execution rules, the authentication and access, authority management, and flow tracing of educational resources are coded and autonomous, forming a full-process security closed loop from data generation to application.

[0032] The system uses asymmetric encryption to ensure identity authentication and data transmission security, hash pointers combined with Merkle trees to achieve millisecond-level data traceability verification, P2P distributed storage architecture combined with erasure code technology to ensure 99.99% availability, dynamic consensus mechanism automatically switches PoW / PoS mode according to educational scenarios, and smart contracts encode the rules of the entire life cycle of educational resources, forming an anti-tampering, traceable, and self-governing educational data security foundation.

[0033] The consensus mechanism adopts a dynamic adjustment strategy to automatically switch PoW / PoS according to network load; the smart contract supports a custom education rule engine, allowing academic administrators to dynamically adjust evaluation weights; the data block uses compressed storage technology to reduce the storage pressure of all nodes.

[0034] Among them, the consensus of the blockchain network refers to the fact that in the blockchain network, the consensus mechanism is achieved through the synergy of four types of miners: student miners contribute computing power by participating in course learning, social practice and other activities, transforming educational behavior into the driving force for network maintenance; teacher miners participate in mining based on course teaching and resource development, and the output of professional knowledge supports the operation of the blockchain; librarian miners provide computing power through library service optimization and digital resource maintenance to ensure the stable operation of educational infrastructure; academic affairs miners assume the functions of consensus supervision and dispute arbitration to ensure that all nodes in the network achieve data consistency; the four types of roles form a closed-loop ecology of computing power supply, professional support, service guarantee and rule maintenance.

[0035] The blockchain network innovatively builds a consensus mechanism for educational scenarios: student miners convert course learning and social practice behaviors into computing power, teacher miners contribute computing power through knowledge output and resource development, librarian miners support infrastructure with service optimization, and academic affairs miners perform consensus supervision and dispute resolution, forming an education governance paradigm in which behavior is computing power and knowledge is value, ensuring data consistency across the entire network while building a decentralized education trust system.

[0036] The mining pool supports a computing power consolidation mechanism, allowing multiple people to form a joint mining group; the academic coin rewards are distributed proportionally according to the participants' contributions, and the contribution is calculated comprehensively based on the complexity, timeliness and innovation of the behavioral data; the miner credit system records historical contribution behavior, and high-credit miners can obtain priority accounting rights.

[0037] Wherein, the assessment module realizes the evaluation of educational effectiveness in the following ways; By constructing a multi-dimensional evaluation scale covering knowledge mastery, practical ability, and innovative literacy, it supports a multi-participation model of student self-evaluation, teacher-student mutual evaluation, and third-party evaluation by external experts; secondly, it relies on mobile terminals to collect evaluation behavior data throughout the process, and accurately records process indicators such as evaluation time and operation trajectory; thirdly, it uses blockchain distributed evidence storage technology to encrypt the evaluation data and upload it to the chain to form an unalterable timestamp evidence chain; finally, based on the preset smart contract consensus rules, it automatically verifies and corrects abnormal scoring patterns to ensure the objectivity and credibility of the evaluation results.

[0038] Construct a three-dimensional evaluation matrix of knowledge-practice-innovation, record the entire process data of evaluation operations through the mobile behavior collection system, use blockchain distributed ledger technology to form a timestamp encrypted evidence chain, combine the built-in scoring deviation threshold model of the smart contract, monitor abnormal scoring patterns in real time and trigger the automatic verification mechanism, and finally generate credible evaluation results verified by multi-party consensus, realizing decentralized and credible governance of education evaluation.

[0039] The evaluation scale supports dynamic weight adjustment and can automatically switch evaluation indicators according to the education stage; the evaluation behavior data is used to build user behavior portraits to assist in discovering evaluation cheating behavior; the verification rules are jointly formulated by academic administrators, teachers, and student representatives and stored on the chain.

[0040] The collected user evaluation results cannot be directly used for learning and teaching assessments; instead, they must be verified for validity. For example, during a teaching evaluation, if a student asks someone else to evaluate their work, the results of this evaluation behavior are clearly unusable and need to be discarded. Another example is a student who frequently skips classes, resulting in low test scores and a low overall rating. If this student gives a teacher or librarian a low score, it would be unreasonable to directly include this score in the rating. Similar data requires verification, based on the learning behavior information, teaching behavior information, and user evaluation behavior information collected by the intelligent terminal behavior recognition device during the information literacy education period of students, teachers, and librarians.

[0041] The assessment module verifies the validity of assessment results by consuming basic information, behavioral data, and evaluation behavior information from users (students, teachers, librarians, and academic administrators). It then makes decisions regarding user evaluation results, including rejection, revision, and adoption. After verification, the module generates valid and reliable student, teacher, and librarian effectiveness data, which are stored and used as the basis for scoring. For example, if user evaluation behavior information reveals that a user has someone else perform their evaluation, the assessment results will be invalid and cannot be used as effectiveness data. For another example, if a student frequently skips classes, arrives late, and leaves early, resulting in lower test scores and overall grades, and the student gives the teacher low marks, the assessment results can be invalidated or their weighting can be reduced. In addition, random evaluations and substitute evaluations, such as answering questions too quickly or answering questions repeatedly with the same IP or MAC address, will be recorded; the phenomenon of teachers being evaluated generally well but some students giving malicious negative reviews will be recorded; the phenomenon of teachers being evaluated generally poorly but some students flattering with positive reviews will be recorded; the phenomenon of giving negative feedback when course grades change abnormally and user evaluation results change abnormally will be recorded; the phenomenon of giving negative feedback during mutual evaluation among teachers will be recorded; the effectiveness of the evaluation of students who give random evaluations or substitute evaluations will be reduced, and the weight of their scores will decrease; the effectiveness of the evaluation of students who give malicious negative reviews or flatter with positive reviews will be reduced, and the weight of their scores will decrease; the effectiveness of the personal evaluation of teachers who give negative feedback will be reduced; the teaching ability value of teachers who receive positive reviews will be improved, and the teaching ability value of teachers who receive negative reviews will be reduced.

[0042] The above-mentioned data that affect the evaluation results, including the previous teaching ability of teachers and librarians recognized by the system and the previous learning ability of students, evaluation effectiveness information, etc., are collectively referred to as user effectiveness data. Once written, they cannot be modified, but can be added to the record.

[0043] Guided information literacy education primarily targets first-year students, primarily delivered by the colleges with additional support from the library. College faculty guide students through specialized instruction and interactive learning, helping them understand their majors and clarify their objectives and approaches. Librarians organize on-site library visits, conduct literature searches, and engage in lecture-style discussions. They also develop a professional information literacy testing platform and resources. At the end of the first year, students receive a preliminary assessment of their professional information literacy based on blockchain-recorded student performance data from their first year.

[0044] The enhanced information literacy education is mainly aimed at second- and third-year students, with the college and the library as the main body. The college-library collaboration is reflected in two aspects: (1) embedded teaching services. The library takes professional needs as the clue and closely connects the information literacy teaching content with students' professional learning and practical activities. In combination with the ability-oriented learning tasks such as large homework, special reports, and literature reviews assigned by professional teachers in professional courses, teaching librarians and professional teachers jointly design targeted embedded teaching content; (2) embedded information literacy credit courses in the talent training plan. In terms of teaching content design, first, retain and refine the "information awareness, information acquisition, information evaluation, information utilization and information ethics" content of traditional information literacy education; second, jointly design comprehensive teaching cases with professional teachers; third, based on the learning environment of the information age in which college students are located, add learning communities, professional digital tools, literature reading tools and other content. The adjustment of teaching content is based on what students and employment need, rather than what is in the textbooks. Information literacy education at this stage focuses on systematically cultivating and improving college students' ability to ask questions, investigate, criticize, summarize, apply literature, and systematically use authoritative information resources in their majors to learn professional knowledge and conduct independent research during the learning and research process.

[0045] Comprehensive information literacy education primarily targets senior students, primarily through the college, supplemented by the library, and closely aligned with the department's graduation project / thesis work. It consists of three phases: topic selection, research, and thesis defense. The first phase focuses on the principles and approaches for topic selection, the structure of a literature review, writing considerations, and the collection and selection of Chinese and foreign sources. The second phase, using a specific professional topic as an example, focuses on selecting search tools, efficient search methods, filtering search results, commonly used literature management software, and reference selection criteria. The latter involves authoritative sources of information within the field and requires expert guidance from professional teachers. The third phase, the final, critical step in the graduation project / thesis process, involves finalizing the graduation project and defending the thesis. The finalization and defense phases focus on standards for references, annotations, tables, and figures, as well as paper review standards and courseware production techniques. Students cultivate positive learning attitudes, information ethics, and the ability to use common digital tools. The presentation of research findings and answering questions during the defense phase are key elements in comprehensively assessing students' academic proficiency and quality. The course content uses case studies to demonstrate the defense process, common issues (such as authenticity detection, proficiency testing, and addressing deficiencies), and defense details (demeanor, demeanor, and mindset). The course also includes evaluation criteria for thesis grades, enabling students to objectively assess their research achievements and shortcomings. Information literacy education at each stage of the graduation project comprehensively cultivates skills, thinking, and practical abilities, with each skill intertwined and closely interconnected. Collaborative information literacy education at this stage systematically and comprehensively trains students' academic thinking and norms, cultivating students' initial academic research capabilities to solve complex professional problems and improving their professional information literacy, thereby enhancing university students' independent and lifelong learning abilities.

[0046] Wherein, the reporting module generates an education effectiveness report in the following manner; Based on preset rules, it automatically aggregates cross-dimensional data such as student learning trajectories, teacher teaching input, and librarian service efficiency to build a digital portrait of users; supports authorized sharing between roles and joint analysis of multi-source data under the privacy protection framework to explore the associated value of educational behavior; generates customized diagnostic reports covering indicators such as course participation, resource utilization, and teaching innovation according to personalized needs; and finally deeply couples the report quality level with the academic coin incentive mechanism to form a virtuous cycle of "data-driven-accurate feedback-continuous improvement", effectively activating the inherent kinetic energy of various subjects in the education ecosystem.

[0047] The reporting module supports cross-institutional data comparison and analysis to generate regional education quality white papers; the smart contract has a built-in prediction model to predict education risks based on historical data; the academic currency peg mechanism adopts a dynamic exchange rate to adjust the reward ratio according to the education stage.

[0048] The specific steps of this educational method are as follows: Step 1: Users create blockchain accounts and access the P2P network through smart terminals: Users create accounts and generate key pairs through multi-factor authentication, configure permissions based on roles, access the P2P network, synchronize data and verify identities, embed smart contracts to associate resource permissions and student coin wallets, and build a decentralized identity system. Step 2: Trigger smart contracts through course learning, resource usage, or social practice. Course behavior triggers the contract, resource interaction is uploaded to the chain through an oracle, and IoT devices are triggered by edge computing signatures. All are accompanied by metadata and environmental context to ensure the authenticity of the behavior. Step 3: Create a new block and set initial parameters. After the smart contract is triggered, the system dynamically generates a Nonce value to prevent replay, presets learning coins by role, and reserves handling fees. The contract bytecode is hashed using Keccak-256 to generate a codehash and stored in the block header. The aggregated data generates a Merkle root as an integrity certificate. The block header embeds an education stage identifier to support time retrieval. Step 4: Preprocess transaction data and store it on-chain. Data preprocessing uses layered encryption and compression: structured data is encrypted using ZKP; unstructured data is stored on IPFS; sensitive information is stored in SHA-3 fragments; and BLS aggregate signatures reduce terminal load. Step 5: Execute the academic coin transaction and update the blockchain; the circulation of academic coins undergoes four layers of verification: checking the legality and dynamically adjusting the value, miners competing for the right to record the account, MPT recording the balance and snapshot, and synchronizing data to trigger the evaluation update; Step 6: Query the results of the education effectiveness evaluation through the client: The query function supports multi-dimensional perspectives: dynamic dashboards display data, intelligent reports generate indexes, on-chain appeals trigger reviews, cross-chain interoperability verifies achievements, and logs are uploaded to the chain to prove literacy.

[0049] The account creation process supports multi-factor authentication, including biometric recognition; the smart contract triggering method is extended to IoT devices, such as the library access control system automatically recording the behavior of entering the library; the data preprocessing uses zero-knowledge proof technology to complete data verification while protecting privacy.

[0050] like Figure 3 As shown in the figure, the method for evaluating information literacy education in colleges and universities based on blockchain technology includes the following steps: Users (students, teachers, librarians, and academic administrators) log in to the blockchain account through the client to create a personal account; Users (students, teachers, librarians, and academic administrators) enter their basic personal information through a web client. This information includes their role (student, teacher, librarian, or academic administrator), user identification information (name, gender, date of birth, etc.), and user-provided competence information, including educational experience, work experience, past academic performance, and records of rewards and penalties. This data can be modified by the user, and the modification process is monitored and recorded by the adjudication module in the system. After entering, the basic personal information is transmitted to the system's database module for storage. The effectiveness database stores basic information of students, teachers, librarians, etc. and information on learning and teaching effectiveness. The behavioral data of users (students, teachers, librarians, and academic administrators) during information literacy education is collected through mobile client terminals such as mobile phones carried by users. The specific behavioral data collected includes students' arrival and departure status, information literacy course learning status, online education resource learning and use status, library resource use status, social practice status, course design status, graduation project status, etc. The mobile client terminal sends the collected data information to the server through the network and saves it in the database module of the system. The data information of the effectiveness database is verified and analyzed and compared with the Internet big data to confirm its authenticity. The personnel mining pool evaluates students, teachers, and librarians based on the information in the performance database and the evaluation rules of the evaluation module. College students, teachers, and librarians act as miners, participating in mining and proof of work or proof of stake to obtain academic coins. Academic administrators act as miners to supervise proof of work or proof of stake. The system publishes self-evaluation and / or mutual evaluation scales for students, teachers, and librarians to the client through the evaluation module, and users log in to their own clients to conduct self-evaluation or mutual evaluation; after the evaluation is completed, the user's evaluation result information is entered into the database module; the client also synchronously collects user evaluation behavior information during the evaluation and enters it into the database module; Through the reporting module, various reports such as the teaching level of educational institutions, course teaching effectiveness, teacher teaching ability, student learning ability, and student integrity assessment are issued based on the performance data of students, teachers, and librarians recorded at each node, user authorization, and pre-set smart contract rules.

[0051] The application of blockchain technology in information literacy education in universities could establish information literacy certification linked to academic credentials. This could allow universities and the government to establish a credit and incentive certification system, creating smart contracts on the blockchain. This could in turn encourage students to pursue information literacy through joint guidance from the college, library, and academic affairs office. The entire process of online teaching and independent learning on the blockchain platform could be recorded, providing a basis for educational incentives and credit certification.

[0052] Information literacy education mechanisms based on blockchain technology can promote an incentive-based transformation in current reading promotion efforts. This is because current reading promotion primarily relies on online and offline activities to promote recommended works and encourage reading habits among students, without mandatory requirements. Leveraging information literacy education blockchain platforms with student currency authentication and reward and punishment systems, this can negatively impact students' acquisition of academic knowledge and foster reading habits. Furthermore, blockchain-based big data analysis and mining can enable push notifications, recommendations, and other services based on students' search and reading habits, meeting students' demand for personalized services and further promoting reading.

[0053] The upload and authentication process of the educational resources is as follows: the resource builder uploads the resources and submits an authentication application, the platform automatically encrypts the resources with a private key and generates a unique block, and then broadcasts the block to the entire network and starts the consensus authentication mechanism; when more than 51% of the nodes pass the verification, the block will be timestamped and synchronized with the entire network to ensure reliable storage and distributed sharing of resources.

[0054] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0055] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. The information literacy education system for colleges and universities based on blockchain technology is characterized by: The system includes an information literacy education system, a blockchain network, an information literacy education blockchain platform, and a blockchain technology system; The information literacy education system is jointly constructed by the college, the library, and the academic affairs office. Based on the OBE concept and ACRL, it expands information literacy education into a four-year through-train training system for scientific ability and literacy, including three levels of education modules: guidance, enhancement, and comprehensive. The blockchain network is built based on asymmetric encryption, hash functions, P2P networks, Merkle trees, consensus mechanisms, and smart contracts. All participants access the network through the Internet to form a self-organizing P2P network, which records the entire learning and teaching process of students, teachers, and librarians in the form of blocks. The information literacy education blockchain platform integrates an effectiveness database, a course resource module, a learning currency module, an assessment module, a management module, and a reporting module, and supports the publishing of learning tracks, proof-of-work or proof-of-stake mining, and learning currency transactions; The blockchain technology system achieves tamper-proof storage of educational data through chain structure, timestamps and data blocks, and automatically executes the uploading, authentication, circulation and sharing of educational resources through smart contracts; By building a three-dimensional collaborative governance model, the college led the development of a cross-disciplinary competency map, the library provided embedded subject services, and the Academic Affairs Office coordinated the micro-certification system and mutual recognition of course resources. Based on the OBE-ACRL framework, 12 core competency indicators were developed through reverse course design, combined with contextual assessment tools in virtual simulation experiments to achieve competency-based training. A hybrid consensus mechanism was adopted at the technical level, with the PBFT algorithm applied to core data to ensure strong consistency. The PoS mechanism was used to improve the efficiency of learning behavior logs, and a reputation value system was introduced to resist attacks. Data storage implements hot and cold separation, and combines with the Merkle-Patricia tree to achieve millisecond-level query response for millions of users; the platform innovates a three-level academic coin economic system, integrates AI adaptive learning contracts and academic integrity contracts, builds a metaverse learning community and issues NFT digital certificates; through a three-dimensional evaluation matrix of process data, capability maps, and social evaluation, combined with a predictive analysis engine and blockchain governance DAO, a continuous improvement mechanism is formed.

2. The university information literacy education system based on blockchain technology according to claim 1 is characterized by: The information literacy education blockchain platform includes an effectiveness database, a course resource module, a learning currency module, an assessment module, a management module, and a reporting module; The efficiency database stores full-dimensional behavioral data of teachers, students and librarians. The course resource module supports blockchain storage and sharing of online and offline and practical resources. The learning currency module realizes financial functions such as exchange, transaction and pledge. The assessment module deploys intelligent evaluation scales and behavior monitoring. The management module provides user authentication, resource review and digital certificate full-cycle management. The reporting module automatically generates education efficiency analysis reports through smart contracts. Each module relies on a chain structure to achieve data interconnection and interoperability, forming a complete closed loop covering learning trajectory storage, intelligent resource flow, capacity quantitative assessment, and education quality monitoring, providing trusted infrastructure support for the modernization of education governance.

3. The university information literacy education system based on blockchain technology according to claim 1 is characterized by: The blockchain technology system constructs a secure storage and sharing mechanism for educational data through the integration of multiple technologies: first, asymmetric encryption technology is used to achieve end-to-end encryption of user identity authentication and transaction data to ensure the confidentiality of data transmission; second, a unique digital fingerprint is generated for each data block through a hash algorithm, and the Merkle tree structure is used to achieve rapid traceability and integrity verification of data changes; at the storage level, a decentralized storage architecture is built based on the P2P network, so that educational data is stored in a distributed manner across all nodes of the network, and a distributed synchronization mechanism is combined to ensure high data availability; through a dynamically adapted proof-of-work or proof-of-stake consensus algorithm, while ensuring that all nodes in the network achieve data consistency, it effectively resists malicious tampering attacks; finally, relying on smart contracts, automated execution rules are established to achieve coded autonomy of authentication access, authority management, and flow tracing operations of educational resources, forming a secure closed loop for the entire process from data generation to application; The system uses asymmetric encryption to ensure identity authentication and data transmission security, hash pointers combined with Merkle trees to achieve millisecond-level data traceability verification, P2P distributed storage architecture combined with erasure code technology to ensure 99.99% availability, dynamic consensus mechanism automatically switches PoW / PoS mode according to educational scenarios, and smart contracts encode the rules of the entire life cycle of educational resources, forming an anti-tampering, traceable, and self-governing educational data security foundation.

4. The university information literacy education system based on blockchain technology according to claim 1 is characterized by: The consensus of the blockchain network mentioned above refers to the fact that in the blockchain network, the consensus mechanism is achieved through the collaborative action of four types of miners: student miners contribute computing power by participating in course learning and social practice activities, transforming educational behavior into the driving force of network maintenance; teacher miners participate in mining based on course teaching and resource development, and the output of professional knowledge supports the operation of the blockchain; librarian miners provide computing power through library service optimization and digital resource maintenance to ensure the stable operation of educational infrastructure; academic affairs miners undertake consensus supervision and dispute resolution functions to ensure data consistency among all nodes in the network. These four types of roles form a closed-loop ecosystem of computing power supply, professional support, service guarantee and rule maintenance. The blockchain network innovatively builds a consensus mechanism for educational scenarios: student miners convert course learning and social practice behaviors into computing power, teacher miners contribute computing power through knowledge output and resource development, librarian miners support infrastructure with service optimization, and academic affairs miners perform consensus supervision and dispute resolution, forming an education governance paradigm in which behavior is computing power and knowledge is value, ensuring data consistency across the entire network while building a decentralized education trust system.

5. The university information literacy education system based on blockchain technology according to claim 1 is characterized by: The evaluation module realizes the evaluation of educational effectiveness in the following ways; By constructing a multi-dimensional evaluation scale covering knowledge mastery, practical ability, and innovative literacy, it supports a multi-faceted participation model of student self-evaluation, teacher-student peer evaluation, and third-party evaluation by external experts. Secondly, it relies on mobile terminals to collect evaluation behavior data throughout the process, accurately recording evaluation duration, operation trajectory process indicators. Thirdly, it uses blockchain distributed evidence storage technology to encrypt evaluation data and form an unalterable timestamp evidence chain. Finally, based on the preset smart contract consensus rules, it automatically verifies and corrects abnormal scoring patterns to ensure the objectivity and credibility of the evaluation results. Construct a three-dimensional evaluation matrix of knowledge-practice-innovation, record the entire process data of evaluation operations through the mobile behavior collection system, use blockchain distributed ledger technology to form a timestamp encrypted evidence chain, combine the built-in scoring deviation threshold model of the smart contract, monitor abnormal scoring patterns in real time and trigger the automatic verification mechanism, and finally generate credible evaluation results verified by multi-party consensus, realizing decentralized and credible governance of education evaluation.

6. The university information literacy education system based on blockchain technology according to claim 1 is characterized by: The reporting module generates an education effectiveness report in the following manner; Based on preset rules, it automatically aggregates cross-dimensional data on student learning trajectories, teacher teaching input, and librarian service efficiency to build a digital portrait of users; supports authorized sharing between roles and joint analysis of multi-source data under a privacy protection framework to explore the associated value of educational behavior; generates customized diagnostic reports covering course participation, resource utilization, and teaching innovation indicators based on personalized needs; and finally deeply couples the report quality level with the academic coin incentive mechanism to form a virtuous cycle of "data-driven-accurate feedback-continuous improvement", effectively activating the inherent kinetic energy of all subjects in the educational ecosystem.

7. The information literacy education method for colleges and universities based on blockchain technology is characterized by: The specific steps of this educational method are as follows: Step 1: Users create blockchain accounts and access the P2P network through smart terminals: Users create accounts and generate key pairs through multi-factor authentication, configure permissions based on roles, access the P2P network, synchronize data and verify identities, embed smart contracts to associate resource permissions and student coin wallets, and build a decentralized identity system. Step 2: Trigger smart contracts through course learning, resource usage, or social practice. Course behavior triggers the contract, resource interaction is uploaded to the chain through an oracle, and IoT devices are triggered by edge computing signatures. All are accompanied by metadata and environmental context to ensure the authenticity of the behavior. Step 3: Create a new block and set initial parameters. After the smart contract is triggered, the system dynamically generates a Nonce value to prevent replay, presets learning coins by role, and reserves handling fees. The contract bytecode is hashed using Keccak-256 to generate a codehash and stored in the block header. The aggregated data generates a Merkle root as an integrity certificate. The block header embeds an education stage identifier to support time retrieval. Step 4: Preprocess the transaction data and store it on-chain. Data preprocessing uses layered encryption and compression: structured data is encrypted using ZKP; unstructured data is stored on IPFS. SHA-3 fragmented storage of sensitive information; BLS aggregate signature reduces terminal load; Step 5: Execute the academic coin transaction and update the blockchain; the circulation of academic coins undergoes four layers of verification: checking the legality and dynamically adjusting the value, miners competing for the right to record the account, MPT recording the balance and snapshot, and synchronizing data to trigger the evaluation update; Step 6: Query the results of the education effectiveness evaluation through the client: The query function supports multi-dimensional perspectives: dynamic dashboards display data, intelligent reports generate indexes, on-chain appeals trigger reviews, cross-chain interoperability verifies achievements, and logs are uploaded to the chain to prove literacy.

8. The method for university information literacy education based on blockchain technology according to claim 7 is characterized by: The upload and authentication process of the educational resources is as follows: the resource builder uploads the resources and submits an authentication application, the platform automatically encrypts the resources with a private key and generates a unique block, then broadcasts the block to the entire network and starts the consensus authentication mechanism; when more than 51% of the nodes pass the verification, the block will be timestamped and synchronized with the entire network to ensure reliable storage and distributed sharing of resources.

Images