Blockchain-enabled method and system for practicing credit points
By using blockchain technology to record and calculate credit scores, the problems of opaque information and insufficient credibility in traditional management have been solved. This has enabled cross-platform interoperability and transparent and traceable score management, improving management efficiency and fairness, and stimulating students' enthusiasm for participation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANDONG URBAN SERVICE VOCATIONAL COLLEGE
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-31
AI Technical Summary
Traditional credit score management practices are prone to risks such as information forgery, retroactive data entry, and abuse of management authority. The data lacks credibility, the evaluation process relies on manual review, standards are difficult to unify, fairness is challenged, and points cannot be transferred across platforms.
By using blockchain technology, data from practical activities is recorded through IoT devices, digital signatures and consensus verification are performed, and tamper-proof evidence data is generated. Smart contracts are used to calculate credit scores, enabling cross-platform interoperability and transparent and traceable score management.
To ensure the authenticity and credibility of points records, improve management efficiency and fairness, reduce objections, achieve credible, transparent and efficient circulation of points, and stimulate students' enthusiasm for participation.
Smart Images
Figure CN122492406A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of education management technology, specifically referring to a blockchain-enabled practical credit scoring method and system. Background Technology
[0002] Practice is an important part of higher education and a key link in guiding students to practice socialist core values and improve their comprehensive qualities. Among them, the practice credit score is a core indicator for measuring students' participation and quality in practice, and its management effectiveness directly affects the fairness and incentive effect of education evaluation.
[0003] Currently, traditional practice credit score management mainly relies on school intranet platforms and teacher spreadsheet records. Traditional paper records or centralized database storage methods are prone to risks such as information falsification, retroactive data entry, and abuse of management authority, resulting in insufficient data credibility. The evaluation process largely depends on manual review, making it difficult to achieve absolutely uniform standards and susceptible to subjective influences, thus challenging fairness. Students, practice institutions, and regulatory departments cannot verify the logic of score generation and data sources in real time, easily leading to disputes over scores; different schools, practice bases, and education authorities have independent score systems, preventing the transfer of scores across platforms. Therefore, a new blockchain-enabled practice credit score method and system are urgently needed to solve these problems. Summary of the Invention
[0004] To address the aforementioned challenges, this invention provides a blockchain-enabled practical credit scoring method and system that features credible, transparent, traceable, and cross-platform interoperability throughout the entire credit scoring process, improves management efficiency and fairness, incentivizes students to actively participate in practical activities, and is credible, transparent, efficient, and has tradable value.
[0005] The technical solution adopted in this invention is as follows: The blockchain-enabled practical credit scoring method of this invention includes the following steps: S1. Issuance of Practical Tasks: Education authorities or schools issue practical tasks, which include the content, location, and duration of the practical activities. S2. Practice process entry: Student users submit practice activity participation information through the Internet of Things device of the practice institution to generate a preliminary evidence data package. The practice activity participation information includes practice duration, task completion status, location and supporting materials. S2. Information Verification: Authorized teachers or certification authorities verify the authenticity and validity of the preliminary evidence data package. After the verification is passed, the digital signature of the verification node is attached to generate evidence data to be uploaded to the blockchain. S4. Blockchain Consensus and Storage: The data to be uploaded to the blockchain for evidence storage is broadcast to the blockchain network. After being verified by the consensus algorithm, it is packaged into a new block and distributed and stored on all nodes to form an immutable and traceable credit evidence. S5. Smart Contract Points Calculation: The smart contract parses the stored data according to the predefined points rule model, calculates the corresponding credit points, uploads the data to the blockchain after being signed by the school, and updates the points account status of the corresponding student. S6. Points Inquiry and Verification: Students log in to the client with their private key and initiate an inquiry request. The blockchain network returns the points record confirmed by consensus and complete evidence storage and traceability information for visualization and verification. S7. Points Redemption: Students initiate redemption applications based on the points redemption rights issued by the education authorities or schools. The smart contract automatically verifies the points balance and executes the redemption, and the redemption record is recorded on the blockchain.
[0006] Furthermore, in step S2, the information on participation in the practice activity is signed by the private key of the practice organization to generate a block containing a timestamp, node identifier, and data hash, thus completing the data notarization.
[0007] Furthermore, in step S5, after the student submits the objection application and supplementary evidence, the system randomly assigns a new review node group to conduct a second review, and the review results and objection handling process are fully recorded on the blockchain.
[0008] The blockchain-enabled credit scoring system is characterized by including a user terminal module, a data collection module, a notarization management module, a blockchain core layer module, a points management module, and a permissions management module. The user-end module includes student user-end, administrator user-end, practice institution user-end, and review user-end, providing functions such as identity authentication, information entry, activity viewing, record submission, review operation, and points query; The data acquisition module connects to IoT devices and manual upload ports to collect data from the practical process, including functions such as identity authentication and activity recording. The core module system of the blockchain adopts a consortium blockchain architecture and includes a consensus mechanism, a smart contract engine, an account management module, and a transaction processing module, which is responsible for data on-chaining, notarization, and contract execution. The evidence management module handles the generation, transfer, signature verification, and on-chain requests of evidence data; The points management module calls smart contracts to complete points calculation, is responsible for the lifecycle management of points accounts, the maintenance of points change records, generates tamper-proof points vouchers, and supports student inquiries. The access control module strictly controls the access and operation permissions of users with different identities to data.
[0009] Furthermore, the blockchain core layer module also includes an early warning function. When an abnormal operation is detected, an early warning is automatically triggered and the abnormal behavior is recorded on the chain for subsequent processing by the management agency. The beneficial effects achieved by the present invention using the above structure are as follows: 1. By leveraging the immutability of blockchain, every practice record and point is ensured to be authentic, credible, and verifiable. Each node can verify the point generation logic and data source in real time, reducing point disputes and enhancing the credibility of the evaluation.
[0010] 2. Smart contracts automatically perform point calculations, task distribution for review, and objection handling, replacing tedious manual operations, improving review efficiency, reducing management costs, and ensuring that the process and results are transparent and traceable to the authorizing party.
[0011] 3. A unified credit ledger jointly maintained by all parties was constructed, which enabled the effective aggregation and sharing of practical information, and created a visual, accumulative digital credit asset with practical application value, effectively stimulating students' intrinsic motivation to participate in practical activities. Attached Figure Description
[0012] Figure 1 A flowchart illustrating the blockchain-enabled practical credit scoring method proposed in this solution; Figure 2 A schematic diagram of the blockchain-enabled credit scoring system proposed in this solution. Detailed Implementation
[0013] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.
[0014] like Figure 1 and Figure 2 As shown, the blockchain-enabled practical credit scoring method and system proposed in this solution, specifically the blockchain-enabled practical credit scoring method of this invention, includes the following steps: S1. Issuance of Practical Tasks: Education authorities or schools issue practical tasks, which include the content, location, and duration of the practical activities. S2. Practice process entry: Student users submit practice activity participation information through the IoT device of the practice institution, generating a preliminary evidence data package. The practice activity participation information includes practice duration, task completion status, location and supporting materials. After the practice activity participation information is signed by the private key of the practice institution, a block containing timestamp, node identifier and data hash is generated to complete the data evidence storage. S3. Information Verification: Authorized teachers or certification authorities verify the authenticity and validity of the preliminary evidence data package. After the verification is passed, the digital signature of the verification node is attached to generate evidence data to be uploaded to the blockchain. S4. Blockchain Consensus and Storage: The data to be uploaded to the blockchain for evidence storage is broadcast to the blockchain network. After being verified by the consensus algorithm, it is packaged into a new block and distributed and stored on all nodes to form an immutable and traceable credit evidence. S5. Smart Contract Points Calculation: The smart contract parses the stored data according to the predefined points rule model, calculates the corresponding credit points, uploads the data to the blockchain after being signed by the school, and updates the points account status of the corresponding student. S6. Points Inquiry and Verification: Students log in to the client with their private keys and initiate an inquiry request. The blockchain network returns the points records confirmed by consensus and complete evidence storage and traceability information for visualization and verification. After students submit objection applications and supplementary evidence, the system randomly assigns a new audit node group for secondary audit. The audit results and objection handling process are all recorded on the blockchain. S7. Points Redemption: Students initiate redemption applications based on the points redemption rights issued by the education authorities or schools. The smart contract automatically verifies the points balance and executes the redemption, and the redemption record is recorded on the blockchain.
[0015] The blockchain-enabled practice credit points system is characterized by the following: it includes a user-end module, a data collection module, a notarization management module, a blockchain core layer module, a points management module, and a permission management module. The user-end module includes student, administrator, practice institution, and review user ends, providing functions such as identity authentication, information entry, activity viewing, record submission, review operations, and points query. The data collection module connects to IoT devices and manual upload ports to collect practice process data, including identity authentication and activity records. The blockchain core layer module is the system's central component, employing a consortium blockchain architecture, and includes a consensus mechanism, smart contract engine, account management module, and transaction processing module, responsible for data upload, notarization, and contract execution. The notarization management module handles the generation, transfer, signature verification, and upload requests of notarized data. The points management module calls smart contracts to calculate points, manages the lifecycle of points accounts, maintains points change records, generates immutable points vouchers, and supports student queries. The permission management module strictly controls the access and operation permissions of different user identities.
[0016] In practical use: Summer community service assignments were released through the system, with a rule that 2 points would be awarded for every hour of service completed. Practice process recording: When students are doing community practice, they record the practice time through the facial recognition check-in machine at the community node, and generate location information and timestamp. After the practice is completed, the community node uploads the student practice information. Information verification: Teachers verify the authenticity and validity of students' photos, locations, and duration of community service activities. Smart contract points calculation: The smart contract reads service duration data, automatically calculates points, and generates points vouchers that are then uploaded to the blockchain; Points Inquiry and Verification: Students can log in to the student client to check their points, which can be traced back to community check-in data and confirm that the points generation was compliant. Points redemption: Students can choose different awards redemption applications initiated by the school based on their points. After the system's smart contract verifies that the points meet the requirements, it will automatically generate an award qualification certificate and record it and upload it to the consortium blockchain.
[0017] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.
[0018] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A blockchain-enabled practical credit scoring method, characterized in that, Includes the following steps: S1. Issuance of Practical Tasks: Education authorities or schools issue practical tasks, which include the content, location, and duration of the practical activities. S2. Practice process entry: Student users submit practice activity participation information through the Internet of Things device of the practice institution to generate a preliminary evidence data package. The practice activity participation information includes practice duration, task completion status, location and supporting materials. S3. Information Verification: Authorized teachers or certification authorities verify the authenticity and validity of the preliminary evidence data package. After the verification is passed, the digital signature of the verification node is attached to generate evidence data to be uploaded to the blockchain. S4. Blockchain Consensus and Storage: The data to be uploaded to the blockchain for evidence storage is broadcast to the blockchain network. After being verified by the consensus algorithm, it is packaged into a new block and distributed and stored on all nodes to form an immutable and traceable credit evidence. S5. Smart Contract Points Calculation: The smart contract parses the stored data according to the predefined points rule model, calculates the corresponding credit points, uploads the data to the blockchain after being signed by the school, and updates the points account status of the corresponding student. S6. Points Inquiry and Verification: Students log in to the client with their private key and initiate an inquiry request. The blockchain network returns the points record confirmed by consensus and complete evidence storage and traceability information for visualization and verification. S7. Points Redemption: Students initiate redemption applications based on the points redemption rights issued by the education authorities or schools. The smart contract automatically verifies the points balance and executes the redemption, and the redemption record is recorded on the blockchain.
2. The blockchain-enabled practical credit scoring method according to claim 1, characterized in that: In step S2, the information on participants in the practice activity is signed with the private key of the practice organization to generate a block containing a timestamp, node identifier, and data hash, thus completing the data notarization.
3. The blockchain-enabled practical credit scoring method according to claim 1, characterized in that: After the student submits the objection application and supplementary evidence in step S5, the system randomly assigns a new review node group to conduct a second review, and the review results and objection handling process are recorded on the blockchain.
4. A blockchain-enabled practical credit scoring system, characterized by: It includes a user-end module, a data acquisition module, an evidence storage management module, a blockchain core layer module, an points management module, and an access control module; The user-end module includes student user-end, administrator user-end, practice institution user-end, and review user-end, providing functions such as identity authentication, information entry, activity viewing, record submission, review operation, and points query; The data acquisition module connects to IoT devices and manual upload ports to collect data from the practical process, including functions such as identity authentication and activity recording. The core module system of the blockchain adopts a consortium blockchain architecture and includes a consensus mechanism, a smart contract engine, an account management module, and a transaction processing module, which is responsible for data on-chaining, notarization, and contract execution. The evidence management module handles the generation, transfer, signature verification, and on-chain requests of evidence data; The points management module calls smart contracts to complete points calculation, is responsible for the lifecycle management of points accounts, the maintenance of points change records, generates tamper-proof points vouchers, and supports student inquiries. The access control module strictly controls the access and operation permissions of users with different identities to data.
5. The blockchain-enabled practical credit scoring method and system according to claim 4, characterized in that: The blockchain core layer module also includes an early warning function. When an abnormal operation is detected, an early warning is automatically triggered and the abnormal behavior is recorded on the chain for subsequent processing by the management agency.