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CN-121998230-A - System and method for managing school score of open campus education

CN121998230ACN 121998230 ACN121998230 ACN 121998230ACN-121998230-A

Abstract

The invention discloses an open campus education credit management system which comprises a distributed network layer, an intelligent contract layer, a data storage and certification layer, an application interface layer and a layering consensus mechanism, wherein the distributed network layer is a peer-to-peer network formed by a plurality of education institution nodes, learner client nodes and consensus verification nodes, the intelligent contract layer comprises a mutual recognition rule contract, a consensus management contract and a path planning contract, the data storage and certification layer provides learning result storage, privacy protection storage and historical traceability functions, the application interface layer provides credit conversion, learning path planning and institution management interfaces, and the layering consensus mechanism supports different consensus flows of different transaction types. Through technical innovation, the invention provides a feasible solution for solving the core obstacle in open education and life-long learning, and has good market prospect and social benefit.

Inventors

  • LUO HAO

Assignees

  • 保山学院

Dates

Publication Date
20260508
Application Date
20251205

Claims (9)

  1. 1. An open campus education credit management system is characterized in that, The distributed network layer, the peer-to-peer network formed by a plurality of education institution nodes, learner client nodes and consensus verification nodes; an intelligent contract layer comprising a mutually-known rule contract, a commonly-known treatment contract and a path planning contract; The data storage layer provides a learning result storage function, a privacy protection storage function and a history traceability function; an application interface layer for providing credit conversion, learning path planning and mechanism management interface; And the hierarchical consensus mechanism supports different consensus flows of different transaction types.
  2. 2. The system according to claim 1, wherein the mutual recognition rule contract is defined by parameterization rules, the course attribute is quantized into a multidimensional feature vector, and the automatic score conversion calculation is realized through a course similarity algorithm and a score conversion formula.
  3. 3. The system according to claim 1, wherein the privacy preserving module supports zero knowledge proof and homomorphic encryption technology, so that the verifier can confirm that the learner satisfies a specific condition without revealing specific learning record contents.
  4. 4. The system according to claim 1, wherein the path planning contract constructs a cross-institution course knowledge graph based on a graph neural network, and generates an optimal cross-institution learning path scheme in real time by combining a learner target and an existing score.
  5. 5. The open campus education credit management system according to claim 1, wherein the hierarchical consensus mechanism comprises: A basic consensus layer for processing conventional credit conversion transaction by adopting an improved practical Bayesian-busy-range fault-tolerant algorithm; treating the consensus layer, and processing mutual recognition rule revisions by adopting a trust benefit proving mechanism; And an arbitration consensus layer, which adopts a multi-signature committee mechanism to process the dispute resolution.
  6. 6. The method for managing the education credit of the open campus is characterized by comprising the following steps: generating a evidence storage request from key information of the learning achievements, and performing distributed storage after consensus verification; An intelligent contract initializing step, namely deploying a mutual recognition rule contract, a mutual recognition treatment contract and a path planning contract; the step of credit conversion application, which is to receive the credit conversion application proposed by the learner; the contract automatic execution step, namely calling a mutual recognition rule contract to verify the certificate, calculating the course matching degree and generating a conversion suggestion; a consensus verification step, namely performing multidimensional verification on the conversion advice by a consensus node; and the result execution step is that the result of verification is recorded to the distributed account book, and the target mechanism system is triggered to execute credit identification.
  7. 7. The open campus education credit management method according to claim 6, wherein in the automatic contract execution step, the course matching calculation includes: Extracting feature vectors of a source course and a target course; Calculating the similarity between the feature vectors; Judging whether the conversion is possible according to the similarity threshold; the convertible score is calculated in combination with the score ranking coefficients.
  8. 8. The open campus education credit management method according to claim 6, further comprising a learning path planning step of: receiving target setting and constraint conditions of a learner; inquiring related course information in the alliance; generating a plurality of alternative paths based on the knowledge-dependent graph and an optimization algorithm; The optimal path is recommended and dynamic adjustment is supported.
  9. 9. The open campus education credit management method according to claim 6, further comprising a privacy protection verification step of: Generating a zero knowledge proof for a learner's learning record; The verifier calls a verification contract to confirm the satisfaction of the condition; Corresponding rights are granted without revealing specific information.

Description

System and method for managing school score of open campus education Technical Field The invention relates to the technical field of education informatization, in particular to an open campus education credit management system and method. Background With the popularization of life-long learning concepts and the deep development of education informatization, more and more learners accumulate a large number of discontinuous learning results in different education institutions and different learning stages. The traditional higher education institutions have relatively closed score management systems which cannot meet the demands of open education and life-long learning. At present, the mutual recognition of the academic records faces the following technical bottlenecks: 1. the trust mechanism of the centralization system is limited in that most of the prior school management systems are centralization systems independently built by education institutions. When cross-school credit mutual authentication is performed, trust needs to be established depending on a third party authority or a complex bilateral protocol. This centralized trust model presents a single point of failure risk and is difficult to extend to large-scale, multi-institution credit mutual-recognition networks. The lack of an efficient and low-cost mutual trust mechanism between institutions causes complex mutual authentication flow and long period. 2. The stiffness and transparency of the mutual recognition rules are insufficient, the existing credit conversion is dependent on pre-signed bilateral protocols or manual auditing, and the rules are opaque and lack of flexibility. When new forms of learning (e.g., micro-certificates, project-type learning achievements) or newly joining institutions occur, existing systems have difficulty in dynamically adjusting mutual recognition rules. The learner cannot pre-judge the score conversion result and participate in the rule optimization process. 3. The mutual recognition of the security and privacy contradiction of the learning data requires sharing part of the learning data of the learner, but the traditional system has contradiction between data sharing and privacy protection. Either sensitive data is excessively shared or sufficient authentication information cannot be provided for privacy protection. This contradiction prevents data flow and mutual authentication between institutions. 4. The traceability verification of the historical learning results is difficult for the learner who returns to the campus after working for many years, and the early learning results are difficult to verify due to the transition of the school system and the loss of records. The traditional centralized storage mode can not provide long-term and untampereable learning record and evidence, so that the continuity of the lifelong learning file is difficult to guarantee. 5. The lack of dynamic planning of a cross-institution learning path mostly solves the problem of "post" credit identification, and lacks support for learner "pre" learning path planning. It is difficult for a learner to autonomously plan an efficient, economical, personalized learning path in courses offered by different institutions. Therefore, a novel credit mutual recognition system is urgently needed, a decentralised trust mechanism can be established on the premise of ensuring data safety and privacy, flexible, transparent and efficient credit mutual recognition is realized, and establishment of open campuses and lifelong education ecology is truly supported. Disclosure of Invention In order to at least solve or partially solve the above problems, an open campus education credit management system is provided to solve key problems such as trust establishment, rule execution, privacy protection and the like among multiple institutions in an open education environment. In order to achieve the above purpose, the present invention provides the following technical solutions: The invention relates to an open campus education credit management system, which comprises a distributed network layer and a peer-to-peer network, wherein the distributed network layer is composed of a plurality of education institution nodes, learner client nodes and consensus verification nodes; an intelligent contract layer comprising a mutually-known rule contract, a commonly-known treatment contract and a path planning contract; The data storage layer provides a learning result storage function, a privacy protection storage function and a history traceability function; an application interface layer for providing credit conversion, learning path planning and mechanism management interface; And the hierarchical consensus mechanism supports different consensus flows of different transaction types. As a preferable technical scheme of the invention, the mutual recognition rule contract adopts parameterized rule definition, the course attribute is quantized into a multidimensional fea