A blockchain-based teaching and training personnel qualification certification and test question solving result storage system

By using a blockchain-based system for certifying the qualifications of educational and training personnel and storing test scores, and leveraging consortium blockchain networks and IPFS storage technology, the system solves the problems of data tampering and low efficiency in cross-institutional recognition among educational and training institutions. It achieves efficient and reliable data storage and anti-cheating verification, thereby improving the security and efficiency of the system.

CN122310596APending Publication Date: 2026-06-30XIONGAN QIHANG DIGITAL CONSTRUCTION TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XIONGAN QIHANG DIGITAL CONSTRUCTION TECHNOLOGY CO LTD
Filing Date
2026-04-09
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

The centralized databases of traditional education and training institutions are prone to data tampering, the cross-institutional recognition of scores is inefficient, and anti-cheating measures are limited to offline and cannot cover online examination scenarios.

Method used

By employing consortium blockchain networks, IPFS distributed storage, and smart contract technology, a teacher qualification certification and grade storage system is constructed. The system ensures data immutability through hash value on-chaining and IPFS storage, and adopts a dynamic trusted score model and anti-cheating verification module. Combined with the Polkadot cross-chain protocol, it achieves cross-institutional mutual recognition.

Benefits of technology

The risk of data tampering is reduced by 99.9%, the efficiency of cross-institutional mutual recognition is improved to within 2 hours, the accuracy rate of anti-fraud reaches 98.5%, and the cost of manual review is reduced by 70%.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention discloses a blockchain-based system for certifying educational and training personnel qualifications and storing test scores. The core of the system is a consortium blockchain network containing educational supervision nodes, employing an improved and practical Byzantine fault-tolerant consensus algorithm and sharding technology to enhance efficiency. The teacher qualification certification module stores qualification data via IPFS and provides on-chain verification, combined with manual verification to ensure data authenticity. The student score storage module collects answer behavior data in real time, and after anomaly filtering and manual review, generates verifiable digital credentials. Merkel tree roots are anchored to the Bitcoin network to strengthen credibility. Supporting modules include dynamic trusted score calculation, multi-layered anti-cheating verification, and Polkadot cross-chain interoperability, enabling trusted scoring, cheating detection, and cross-domain credit recognition. It can also be extended to include metaverse teaching verification functions. This system, through technological and human collaboration, solves problems such as falsified educational and training qualifications, unreliable scores, and difficulties in cross-domain recognition, enhancing the effectiveness of educational supervision and adapting to diverse teaching scenarios.
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