Dynamic digital textbook supervision system and method with separated structure and content

Abstract

The invention discloses a structure and content separated dynamic digital textbook supervision system and method, and aims to ensure that digital textbooks have supervision while polymorphic development based on cloud service and block chain technologies from the perspective of a publishing mechanism, and meet the requirements of education quality and standardization. In the use process, the man-machine collaborative auditing module firstly extracts digital textbook components from the data storage module based on the collaborative work of artificial intelligence and human supervisors, and examines the quality and content structure of the digital textbook before publishing; the textbook which is examined to be qualified is published by the digital publishing module, and the user can supervise the digital textbook through the crowdsourcing supervision updating module in the using process. The method is applied to the field of digital textbook generation and publishing, and aims to ensure that diversified digital textbooks are strictly and uniformly audited and supervised.

Description

Technical Field

[0001] The present invention belongs to the field of digital teaching material supervision, and in particular relates to a dynamic digital teaching material supervision system and method with separated structure and content. Background Art

[0002] The rapid innovation of digital technology has led to rapid development in various fields, especially in the field of education, which has brought revolutionary changes. Digital teaching materials play an important role in the teaching process. They not only enrich educational resources, but also become an important tool for innovative education systems and teaching design. Their rapid development and wide application have brought a series of challenges to education supervision.

[0003] The emergence of a large number of digital textbook products and application examples around the world has expanded the conceptual boundaries and teaching services of the traditional textbook system. Through unified standards and strict supervision of digital textbooks, the standardization and scientific nature of digital textbook content can be ensured. The supervision of digital textbooks not only strictly controls the ideological attributes of textbook content, but also has unified requirements for textbook quality standards, including the correct transmission of knowledge, modern teaching concepts and consistency of educational policies. The regulatory framework of digital textbooks emphasizes the accuracy and appropriateness of textbook content, and also covers attributes such as digital textbook copyright protection, safe use and privacy protection.

[0004] With the diversification of educational needs and the rapid development of technology, supervision still faces continuous challenges and adjustment needs. The challenges of education supervision of digital textbooks include complex content supervision, difficult quality control, and lack of collaborative governance. The complexity of content supervision is reflected in the rich variety of components and tools of digital textbooks and the wide range of subjects involved. It is necessary to ensure that the content elements of digital textbooks comply with educational standards and policy regulations. In addition, the quality of digital textbooks launched by a large number of publishing houses is uneven, which poses a huge challenge to the supervision and evaluation process and quality assessment system of digital textbooks. At the same time, the feedback on the use of digital textbooks generated by teaching roles such as teachers and learners in the process of using digital textbooks cannot be effectively communicated, and there is a lack of an effective collaborative review mechanism with users.

[0005] In addition, in the field of digital textbooks, content authorization and intellectual property protection are important issues that have attracted attention. In the digital education environment, publishers hope to authorize their textbook content to other training platforms or educational institutions to expand their influence and market share. However, this process involves sensitive intellectual property issues. Publishers are concerned about the risks they may face once the content is authorized, including improper use of content, unauthorized redistribution, and intellectual property infringement. Therefore, publishers need to seek sustainable regulatory solutions in content authorization and intellectual property protection to ensure the long-term development and stability of the digital textbook industry. Summary of the invention

[0006] In order to solve the above technical problems, the present invention provides a dynamic digital teaching material supervision system and method with separated structure and content, so that teaching materials can continuously adapt to changes in educational needs and ensure the reliability and legality of digital teaching materials.

[0007] To achieve the above purpose, the technical solution adopted by the present invention is as follows:

[0008] A dynamic digital teaching material supervision system with separated structure and content, the system comprises a human-machine collaborative review module, a digital publishing module, a crowdsourcing supervision update module and a data storage module, wherein:

[0009] The human-machine collaborative review module includes a machine screening module, an expert review module, and an element update module; the machine screening module is responsible for conducting a preliminary review of the element quality and content structure of the digital textbook; the expert review module is responsible for reviewing whether the presentation form of the digital textbook complies with the norms; the element update module determines whether the elements of the digital textbook are injected into the data storage module based on the review results of the expert review module;

[0010] The digital publishing module includes a copyright management module, a data integration module and a teaching material access module; the copyright management module is used to protect the intellectual property rights of the digital teaching materials injected into the data storage module; the data integration module is used to realize the communication between the digital teaching material publishing platform injected into the data storage module and the visitor platform; the teaching material access module is used to provide users with the use of the digital teaching materials injected into the data storage module;

[0011] The crowdsourcing supervision and update module includes a crowdsourcing supervision module, a machine judgment module and an expert judgment module; the crowdsourcing supervision module is based on group collaborative construction and supervises the digital teaching materials injected into the data storage module based on blockchain technology; the machine judgment module is used to classify and mark the teaching materials problems of structure and content separation reported by users; the expert judgment module is used to pass the classification and marking information collected by the machine judgment module to the review experts for discussion and improvement;

[0012] The data storage module is used to store digital teaching material elements in a manner of separating structure from content, including a structural framework storage module, a content element storage module and a semantic association module; the structural framework storage module is used to store the structural framework of the digital teaching material to define the overall organizational form of the digital teaching material; the content element storage module is used to independently store content elements related to the digital teaching material, including teaching objectives, strategies, resources and activities; the semantic association module represents the logical relationship between content elements in the form of a knowledge graph.

[0013] Furthermore, the machine screening module uses natural language processing and data mining technology to automatically analyze and evaluate the content of digital textbooks, and automatically identify and mark the knowledge points, content logic, and relationship accuracy in the textbooks; the expert review module uses blockchain technology to provide an unalterable permanent record of the review records of digital textbooks; the element update module conducts final review and decision-making based on the data and analysis results provided by the machine screening module, combined with the review opinions of the expert review module, and only updates the content elements that need to be updated.

[0014] Furthermore, the audit principle of the human-computer collaborative audit module is to audit whether the file structure of the digital textbook complies with the standard format specification, whether all the contents in the digital textbook are realized, and the full information audit of the content combination method.

[0015] Furthermore, the publishing mechanism of the digital publishing module is to store the digital teaching materials in an online form in the cloud.

[0016] Furthermore, the crowdsourcing supervision module is used to provide review standards for digital textbooks; the machine judgment module is used to provide feedback tools for students and teachers to feedback problems with digital textbooks; the expert judgment module is used to provide version management, responsible for supporting version control of digital textbooks, and injecting updated versions into the data storage module.

[0017] Furthermore, the digital teaching material elements of the data storage module include knowledge, context, goal, individual, template, strategy, resource, activity, tool and material, and the digital teaching material elements are all represented in the form of ontology triples.

[0018] On the other hand, the present invention also provides a dynamic digital teaching material supervision method with structure and content separated, comprising the following steps:

[0019] Step 1: When the digital textbook is uploaded to the data storage module of the cloud computing platform, the machine screening module of the human-machine collaborative review module conducts a preliminary review of the quality and content structure of the digital textbook; if it passes the preliminary review, the expert review module reviews whether the presentation form of the digital textbook complies with the norms; if it complies, the element update module determines whether the digital textbook elements are injected into the data storage module according to the review results of the expert review module, and prepares for digital publishing;

[0020] Step 2: Based on the digital teaching material elements injected into the data storage module, digital publishing is performed through the digital publishing module, wherein the data storage module stores the digital teaching material elements in a manner of separating structure from content, including a structural framework storage module, a content element storage module and a semantic association module; the structural framework storage module is used to store the structural framework of the digital teaching material to define the overall organizational form of the digital teaching material; the content element storage module is used to independently store content elements related to the digital teaching material, including teaching objectives, strategies, resources and activities; the semantic association module represents the logical relationship between content elements in the form of a knowledge graph;

[0021] Step 3. Utilize the crowdsourcing supervision and update module, a learning resource quality control mechanism based on group collaborative construction and review, to supervise the digital teaching material elements injected into the data storage module based on blockchain technology, classify and mark the teaching material issues of separation of structure and content reported by users, and pass them to the review experts for discussion and improvement. Then, only based on the classification and marking, the element update module is used to update the structural framework and / or content elements to be updated.

[0022] The beneficial effects of the present invention are:

[0023] First, the present invention proposes a strict and feasible supervision model, which combines multiple modules such as human-machine collaborative review, digital publishing, crowdsourcing supervision and data storage, and can provide comprehensive digital teaching material supervision. This comprehensive supervision helps to ensure the quality of digital teaching materials, the legality of content and the protection of intellectual property rights. In addition, it supports the continuous updating and improvement of digital teaching materials. Through crowdsourcing supervision and expert participation, feedback on the separation of structural framework and content, digital teaching materials can be continuously updated and improved in small fragments. The user's supervision opinions are absorbed and applied, so that the teaching materials can continuously adapt to changes in educational needs and maintain the freshness and quality of the content. Secondly, through cloud services, data integration and teaching material access, the efficiency of educational resources is improved, digital teaching materials are efficiently embedded in the education system, and the efficiency and accessibility of educational resources are improved. At the same time, digital publishing and copyright management based on blockchain technology help ensure the reliability and legality of digital teaching materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a logic flow chart of a dynamic digital teaching material supervision system with separated structure and content of the present invention;

[0025] Figure 2 The logical flow chart of the human-computer collaborative review module and the crowdsourcing supervision update module for digital textbooks;

[0026] Figure 3 A publishing mechanism model for the digital publishing module;

[0027] Figure 4It is a schematic diagram of the implementation effect of a dynamic digital teaching material supervision system with separated structure and content of the present invention. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0029] The present invention provides a dynamic digital textbook supervision system with separated structure and content. While dynamically generating diversified digital textbooks, it ensures the unified review of digital textbook content, which is manageable and controllable. The digital textbook content is strictly and standardizedly reviewed by relevant departments, that is, only textbook content that has passed the human-computer collaborative review before publication will be stored in the digital textbook content library and can be used by digital textbooks. Publishing institutions can manage and control their textbook content through the platform, and support students and teachers to provide dynamic feedback on digital textbooks during use in response to changing teaching needs, so as to achieve closed-loop dynamic digital textbook updates.

[0030] like Figure 1 As shown in the figure, a dynamic digital textbook supervision system with structure and content separated includes four modules: human-machine collaborative review module, digital publishing module, crowdsourcing supervision update module and data storage module. Through the closed loop of the four modules, scientific supervision of digital textbooks is achieved. Among them:

[0031] The human-machine collaborative review module is used to conduct pre-production review of digital textbooks, including machine screening module, expert review module, and element update module; the machine screening module is responsible for the preliminary review of quality and content structure, and realizes automatic screening and classification through natural language processing and machine learning algorithms. It is used for preliminary review of digital textbook material resources, including text analysis, content labeling, and keyword recognition, aiming to detect and filter unqualified, duplicate or harmful content. Quality indicators include the essential information attributes and conditional essential information attributes of digital textbook elements, editorial error rate, completeness and accuracy, and its content structure indicators include the author's historical evaluation and commercial advertising information of the content elements of digital textbooks to ensure enthusiasm and legal compliance; the expert review module provides a dedicated online interface for review experts, enabling them to access, evaluate and review material resources. The expert review interface supports online labeling, annotation and feedback, which helps to guide the improvement of machine learning algorithms. This module needs to monitor the presentation of audio content and video content to ensure quality standardization, and also needs to review the political, scientific, advanced and appropriate nature of the target elements, strategy elements, material elements and knowledge elements of the digital teaching materials; the element update module determines whether the elements of the digital teaching materials are injected into the data storage module based on the review results of the expert review module, and ensures the security and stability of the update process to prevent unauthorized modification and abuse, including task allocation, review progress tracking and the preservation of review records, so as to supervise and trace the review process, and determines whether the material can be injected into the data storage module based on the expert review results. If the review is passed, it will be injected and stored in the digital teaching material content library before it can be used by users, otherwise it will not pass; the process of human-machine collaborative review of digital teaching materials and subsequent crowdsourcing supervision and update of the present invention is as follows Figure 2 shown.

[0032] The digital publishing module is used to transform the digital teaching materials from the state after approval to the state that can be finally accessed and used by users, including the copyright management module, data integration module and teaching material access module, such as Figure 3As shown; first, the present invention intends to use J2EE technology to develop a digital teaching material system, and use MySQL and Neo4j to store data. Among them, MySQL stores relatively simple entity relationships, and Neo4j stores complex knowledge relationships. In addition, the front-end and back-end data transmission of the system is realized based on Spring MVC, thereby establishing a digital teaching material generation platform. This platform automatically combines the audited material resources into digital teaching materials. This platform is based on the method of automatic typesetting and dynamic aggregation to ensure that the content and structure of the teaching materials meet the teaching needs. On this basis, the copyright information is tracked and verified through the identification of the digital teaching materials, and the copyright management mechanism is realized through the encryption of the digital teaching materials and the access rights control to protect the intellectual property rights of the digital teaching materials. In addition, the digital publishing module needs to establish a publishing channel for digital teaching materials to ensure that students and teachers can easily access digital teaching materials. On the one hand, this platform supports reading and downloading on different devices such as computers, tablets and mobile phones through responsive design and multi-platform development. At the same time, based on development-based API interfaces and standardized data formats, the publishing channels of digital textbooks are integrated with major learning platforms, which facilitates the use and management of institutions; the copyright management module can protect the intellectual property rights of digital textbooks and prevent unauthorized copying, distribution or modification, including digital textbook identification, digital textbook encryption, access permission control and copyright information embedding; the data integration module refers to connecting the data flow and communication between the digital textbook publishing platform and the visitor platform to realize the provision and management of digital textbooks, including data transmission, data synchronization, single sign-on, error handling and other contents; the textbook access module ensures that users can easily obtain high-quality and legal digital textbooks, including digital textbook search, user identity authentication and online reading and downloading modules.

[0033] The crowdsourcing supervision and update module is used for in-use supervision after digital publication, supporting students and teachers to supervise and provide feedback in the process of using digital textbooks, including crowdsourcing supervision module, machine judgment module and expert judgment module. The crowdsourcing supervision module supervises the digital textbook elements injected into the data storage module provided by the digital publishing module based on group collaborative construction, and uses the shared and tamper-proof records provided by blockchain technology to ensure the transparency and credibility of the supervision process. This separation of structure and content enables accurate and efficient supervision of content updates without affecting the stability of the overall structure of the textbook. Users can supervise the content through communication, comments, likes, criticisms, etc. The system uses a learning resource quality control mechanism based on group collaborative construction and review for supervision. The machine judgment module is used to classify and mark textbook problems reported by users, especially in textbooks with separated structure and content, which can quickly locate and process content updates, thereby improving the pertinence and efficiency of supervision. This module uses natural language processing technology to analyze user feedback and preliminarily classify and mark user feedback, providing convenience for subsequent expert judgment. The expert judgment module transmits the feedback collected by the machine judgment module to the review experts, who conduct further discussions and improvements to ensure the accuracy of the update and maintenance efficiency of the textbook content. At the same time, blockchain technology is used to provide sophisticated copyright and licensing management for each content module to protect intellectual property rights and promote the legal reuse and sharing of content. If the expert judgment is reasonable, valuable content will be absorbed and re-injected into the digital textbook storage module to achieve continuous updating and iteration of digital textbooks. The digital textbook supervision system with user access to textbooks, supervisor review and crowdsourcing supervision feedback functions of the present invention is as follows: Figure 4 As shown, the digital textbook supervision system with user access to textbooks (upper left), supervisor review (lower left), and crowdsourced supervision feedback function (right).

[0034] The data storage module includes a structural framework storage module, a content element storage module and a semantic association module; the structural framework storage module is used to store the structural framework of the digital teaching materials, which is evolved based on the dynamic structure of the learning element and is used to define the organizational form of the digital teaching materials under different teaching scenarios and user role requirements, including teaching objectives, teaching strategies, teaching activities, teaching resources and semantic information; the content element storage module independently stores various content elements related to the digital teaching materials, which are managed through aggregation containers and cover knowledge, context, objectives, individuals, templates, strategies, resources, activities, tools and materials; the knowledge storage submodule stores the basic knowledge units of the digital teaching materials, such as concepts, meanings and the relationship between knowledge points; the context storage submodule contains the external context characteristics and internal context characteristics of the user, such as time, place, temperature, equipment, role, learning style and cognitive level; the goal storage submodule records specific teaching goals, That is, the mastery level that needs to be achieved in the specific teaching and learning process; the individual storage submodule collects information about the user's mastery level, cognitive style and role; the template storage submodule can provide rich adaptive layouts and templates, including layout design and interaction design; the strategy storage submodule involves a variety of teaching and learning strategies, and formulates rules for the selection and application of teaching materials; the resource storage submodule, activity storage submodule and tool storage submodule save the resources and activities required for specific goals and strategies; the material library provides materials for teaching and learning that support resources and activities, such as text, pictures, audio and video, animation, questions, etc.; the semantic association module represents the logical relationship between content elements in the form of knowledge graphs to ensure that cognitive coherence and logic are maintained in the process of combining and presenting content elements. All elements are semantically represented in the form of triples <entity, relationship, attribute> to form digital teaching materials, and the basic semantic description is implemented based on OWL (Ontology Web Language). The data storage module uses cloud storage technology to store digital teaching materials and related data on scalable cloud servers, ensuring high availability and easy backup of data, while also reducing costs and maintenance complexity.

[0035] Furthermore, the dynamic digital textbook supervision system with separated structure and content adopts a collaborative mode that combines the artificial intelligence automated supervision of the human-machine collaborative review module with the manual supervision of the Textbook Bureau; automatically analyzes and evaluates the textbook content through artificial intelligence technologies such as natural language processing and data mining, and automatically identifies problems with knowledge points, relationships and content accuracy in the textbooks; provides a transparent textbook review and content review mechanism by using blockchain technology, and the review records of the textbooks can be permanently recorded on the blockchain, realizing the openness and transparency of the review process and improving the accuracy and credibility of the textbook content; and configures specialized supervisors to manually use the data and analysis results provided by the supervision platform to conduct final review and decision-making, thereby ensuring the accuracy and reliability of the supervision work.

[0036] Furthermore, in the dynamic digital textbook supervision system with separated structure and content, the audit points of the human-machine collaborative audit module focus on whether the file structure of the digital textbook conforms to the standard format specification, whether the full information audit of all the content and content combination methods in the digital textbook is realized, etc., including audit indicators such as effectiveness, completeness, standardization, accuracy, scientificity, advancement, suitability, systematicness, initiative and legality and compliance; the effectiveness refers to the review of the digital textbook and each part of it through crowdsourcing testing tool elements to ensure that it can be opened and run normally; the integrity refers to the digital textbook should have all the necessary requirements and information as a publication, and the copyright, responsibility and other aspects should be reviewed by machine The essential information attributes such as author, format, capacity, and the essential information attributes such as digital teaching books, electronic book publishing logos, standard book numbers, major topic registration numbers, and image review numbers; the standardization refers to the compliance of important information and display effects of digital teaching materials with policy regulations, through machine review of resource description attributes of digital teaching material content libraries, and manual monitoring of the presentation of audio and video content, including metadata requirements, copyright record information requirements, logo requirements, text content requirements, text content display, picture and image content requirements, audio content requirements, video content requirements, etc.; the accuracy refers to the fact that editorial errors in digital teaching materials are within the allowable range, including comprehensive accuracy, item accuracy, etc., and the review The verification method is that the machine finds the content in the digital textbook content library that may have editing errors, and then manually reviews and confirms it; the review method used is that experts review the knowledge and resources of the digital textbook content library; the scientific nature refers to the digital textbooks accurately explaining the subject knowledge, the content selection is scientific and appropriate, and it complies with the curriculum standards. The review method used is that experts review the target elements, strategy elements, evaluation elements, content elements, activity elements and knowledge elements of the digital textbook content library; the advanced nature refers to the digital textbooks timely reflecting new changes in economic and social development and new achievements in scientific and technological progress. The review method used is that experts review the target elements, strategy elements, evaluation elements, content elements, activity elements and knowledge elements of the digital textbook content library. The above-mentioned suitability refers to that the digital teaching materials follow the growth rules of students and adapt to the cognitive characteristics of students of different age stages. The audit method used is that experts audit the matching relationship between individual characteristic elements and content elements of the digital teaching materials content library; the above-mentioned systematicity refers to that the digital teaching materials have a reasonable structure design and the content of different stages is connected and connected. The audit method used is that experts audit the strategy elements and template elements of the digital teaching materials content library; the above-mentioned positivity refers to that the content of the selected articles in the digital teaching materials is positive and has a correct orientation. The historical evaluation of the authors of the selected articles is positive and they have a good social image. The audit method used is machine audit, which uses crawlers to audit the historical background information of the authors of the selected articles of the content elements of the digital teaching materials content library;The legality and compliance mentioned above means that the digital textbooks comply with national laws and administrative regulations such as intellectual property protection, have no discriminatory content, and no commercial advertisements or disguised commercial advertisements. The audit method used is to machine audit the content elements of the digital textbook content library, find high-probability discriminatory content and commercial advertisements through data mining algorithms such as association rule mining, and conduct a secondary audit by experts. ;

[0037] Furthermore, the dynamic digital textbook supervision system with separated structure and content, and the publishing mechanism of the digital publishing module: embed digital textbooks into thousands of households through cloud services to enable direct use by a large number of users. Through modern information technology and cloud computing, digital textbooks can be stored in the cloud in an online form, and users can access and use these textbooks anytime and anywhere through the Internet; the unified education resource sharing platform plays a key role. It provides a unified access interface and management system to integrate digital textbooks and provide them to schools and educational institutions at all levels. By connecting to the education network, the digital textbook publishing platform optimizes the transmission of the education network, effectively reducing the cost of renting commercial networks for teachers and students during the download process, and providing a reliable network environment for the fast and stable transmission of digital textbooks. Schools, teachers and students can obtain digital textbooks that meet their needs through this platform to carry out teaching and learning activities; through cloud services, digital textbooks can be updated and customized in real time to meet the needs of different schools, teachers and students, and promote the interactivity and collaboration of digital textbooks. In order to protect copyright and control the legal use of textbooks, encryption and permission verification mechanisms are adopted. Digital textbooks are encrypted before release to ensure that only users with corresponding permissions can download and access them. Teachers and students log in to the reading software for permission verification. Only when they have permission can they use digital textbooks normally.

[0038] Furthermore, in the dynamic digital textbook supervision system with separated structure and content, the crowdsourcing supervision update module has a learning resource quality control mechanism based on group collaborative construction and review, including review standards, feedback tools and version management; the review standards provide crowdsourcing participants (teachers, students) with clear review standards and guidelines to help them understand which aspects should be focused on, such as content accuracy, comprehensibility and format specifications; the feedback tool refers to an online collaborative tool for students and teachers to provide feedback on digital textbook issues, which is embedded in the digital textbook usage interface so that crowdsourcing participants can quickly edit and provide feedback suggestions; the version management supports version control of digital textbooks to ensure accurate recording of reviewed versions.

[0039] Furthermore, in the dynamic digital teaching material supervision system with separated structure and content, the knowledge, context, goal, individual, template, strategy, resource, activity, tool and material of the digital teaching material of the data storage module are all represented in the form of ontology triples.

[0040] Under the support of the dynamic digital teaching material supervision system with separated structure and content, the present invention also provides a dynamic digital teaching material supervision method with separated structure and content, which mainly includes the following steps:

[0041] Step (1) When the content of the digital textbook is uploaded to the data storage module, it will enter the human-machine collaborative review module, where human supervisors and artificial intelligence will review the quality and content structure of the digital textbook, including effectiveness, completeness, standardization, accuracy, politicality, scientificity, advancement, suitability, systematicity, positivity, and legality and compliance. First, machine screening is performed. During the quality review, the essential information attributes and conditional essential information attributes of the digital textbook are reviewed, and the editing error rate is calculated to ensure completeness and accuracy. During the content result review, the author's historical evaluation and commercial advertising information of the content elements are reviewed to ensure positivity and legality and compliance. If the machine screening fails, the process ends; otherwise, it enters the expert review module.

[0042] Step (2) accepts the digital teaching materials that have passed the machine review in step (1) and transmits them to experts for review. When the experts conduct the quality review, the presentation of the audio content and the video content is monitored to ensure standardization. The expert review module uses blockchain technology to provide an unalterable permanent record of the review records of the digital teaching materials, and conducts an in-depth quality and content structure review of the digital teaching materials transmitted in step 1 to ensure the standardization and operability of the teaching materials. In the expert content structure review, the political, scientific, advanced and appropriate nature of the target elements, strategy elements, material elements and knowledge elements of the digital teaching materials are reviewed. The digital teaching materials that have passed the review and their quality values ​​are injected into the data storage module and prepared for digital publishing.

[0043] Step (3) Based on the digital textbooks that have passed the review, the dynamically generated digital textbooks are digitally published. First, each digital textbook is uniquely identified and strong encryption technology is used to ensure the confidentiality of the content. At the same time, access control is used to manage user access rights. Copyright information is embedded in the textbook in the form of a digital signature to verify integrity and copyright compliance. Then, the data integration module is responsible for connecting the data flow and communication between the digital textbook publishing platform and the visitor platform. Through secure data transmission and real-time data synchronization, it ensures that users obtain consistent digital textbook content on different platforms, and uses single sign-on technology to facilitate seamless user switching. The error handling mechanism is used to deal with any errors or interruptions in data transmission. After the textbook is published, users can easily obtain high-quality and legal digital textbooks, providing efficient search engines, multiple user authentication methods, and online reading and downloading options to meet the diverse needs of users.

[0044] Step (4) After the digital textbooks in step (3) are published, students and teachers can use the learning resource quality control mechanism based on group collaborative construction and review to ensure the continuous updating and improvement of digital textbooks. This mechanism integrates open feedback functions into the digital textbook usage platform, allowing all users to actively participate and provide feedback on the content, layout and teaching methods of digital textbooks. The crowdsourcing supervision module is based on the cloud computing platform to achieve efficient collection and processing of user feedback. Through the method of collective wisdom, digital textbooks continue to evolve and improve, ensuring that they can adapt to the ever-changing educational needs and teaching methods in a timely manner.

[0045] Step (5) receives the user supervision opinions sent in step (4). These opinions are initially classified and screened through the crowdsourcing supervision module to identify valuable feedback for the improvement of digital textbooks. Subsequently, the machine judgment module uses advanced algorithms to automatically analyze these opinions to ensure that only suggestions that meet the preset standards and rules are further considered. Finally, the expert judgment module is composed of senior education experts who conduct a detailed manual review of the screened opinions to ensure that only opinions that can significantly improve the quality of the textbooks are adopted. The adopted opinions will guide the content update of the digital textbooks, and only precise modifications will be made to the affected modules instead of comprehensive reconstruction, thereby improving the update efficiency and maintaining the overall stability of the textbooks. The updated content modules are re-injected into the data storage module. The entire process follows strict security protocols to prevent any unauthorized tampering and ensure the continuous optimization and iterative development of digital textbooks.

[0046] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A dynamic digital teaching material supervision system with separated structure and content, characterized in that: The system includes a human-machine collaborative review module, a digital publishing module, a crowdsourcing supervision update module and a data storage module, wherein: The human-machine collaborative review module includes a machine screening module, an expert review module, and an element update module; the machine screening module is responsible for conducting a preliminary review of the element quality and content structure of the digital textbook; the expert review module is responsible for reviewing whether the presentation form of the digital textbook complies with the norms; the element update module determines whether the elements of the digital textbook are injected into the data storage module based on the review results of the expert review module; The digital publishing module includes a copyright management module, a data integration module and a teaching material access module; the copyright management module is used to protect the intellectual property rights of the digital teaching materials injected into the data storage module; the data integration module is used to realize the communication between the digital teaching material publishing platform injected into the data storage module and the visitor platform; the teaching material access module is used to provide users with the use of the digital teaching materials injected into the data storage module; The crowdsourcing supervision and update module includes a crowdsourcing supervision module, a machine judgment module and an expert judgment module; the crowdsourcing supervision module is based on group collaborative construction and supervises the digital teaching materials injected into the data storage module based on blockchain technology; the machine judgment module is used to classify and mark the teaching materials problems of structure and content separation reported by users; the expert judgment module is used to pass the classification and marking information collected by the machine judgment module to the review experts for discussion and improvement; The data storage module is used to store digital teaching material elements in a manner of separating structure from content, including a structural framework storage module, a content element storage module and a semantic association module; the structural framework storage module is used to store the structural framework of the digital teaching material to define the overall organizational form of the digital teaching material; the content element storage module is used to independently store content elements related to the digital teaching material, including teaching objectives, strategies, resources and activities; the semantic association module represents the logical relationship between content elements in the form of a knowledge graph.

2. A dynamic digital teaching material supervision system with separated structure and content according to claim 1, characterized in that: The machine screening module uses natural language processing and data mining technology to automatically analyze and evaluate the content of digital textbooks, and automatically identify and mark the knowledge points, content logic, and relationship accuracy in the textbooks; the expert review module uses blockchain technology to provide an unalterable permanent record of the review records of digital textbooks; the element update module conducts final review and decision-making based on the data and analysis results provided by the machine screening module, combined with the review opinions of the expert review module, and only updates the content elements that need to be updated.

3. According to claim 1, a dynamic digital teaching material supervision system with separated structure and content is characterized in that: The audit principle of the human-computer collaborative audit module is to audit whether the file structure of the digital teaching material complies with the standard format specification, whether all the contents in the digital teaching material are realized, and the full information audit of the content combination method.

4. A dynamic digital teaching material supervision system with separated structure and content according to claim 1, characterized in that: The publishing mechanism of the digital publishing module is to store the digital teaching materials in an online form in the cloud.

5. A dynamic digital teaching material supervision system with separated structure and content according to claim 1, characterized in that: The crowdsourcing supervision module is used to provide review standards for digital textbooks; the machine judgment module is used to provide feedback tools for students and teachers to feedback problems with digital textbooks; the expert judgment module is used to provide version management, responsible for supporting version control of digital textbooks, and injecting updated versions into the data storage module.

6. A dynamic digital teaching material supervision system with separated structure and content according to claim 1, characterized in that: The digital teaching material elements of the data storage module include knowledge, context, goal, individual, template, strategy, resource, activity, tool and material, and the digital teaching material elements are all represented in the form of ontology triples.

7. A dynamic digital teaching material supervision method with structure and content separated, characterized in that: The steps include: Step 1: When the digital textbook is uploaded to the data storage module of the cloud computing platform, the machine screening module of the human-machine collaborative review module conducts a preliminary review of the quality and content structure of the digital textbook; if it passes the preliminary review, the expert review module reviews whether the presentation form of the digital textbook complies with the norms; if it complies, the element update module determines whether the digital textbook elements are injected into the data storage module according to the review results of the expert review module, and prepares for digital publishing; Step 2: Based on the digital teaching material elements injected into the data storage module, digital publishing is performed through the digital publishing module, wherein the data storage module stores the digital teaching material elements in a manner of separating structure from content, including a structural framework storage module, a content element storage module and a semantic association module; the structural framework storage module is used to store the structural framework of the digital teaching material to define the overall organizational form of the digital teaching material; the content element storage module is used to independently store content elements related to the digital teaching material, including teaching objectives, strategies, resources and activities; the semantic association module represents the logical relationship between content elements in the form of a knowledge graph; Step 3. Utilize the crowdsourcing supervision and update module, a learning resource quality control mechanism based on group collaborative construction and review, to supervise the digital teaching material elements injected into the data storage module based on blockchain technology, classify and mark the teaching material issues of separation of structure and content reported by users, and pass them to the review experts for discussion and improvement. Then, only based on the classification and marking, the element update module is used to update the structural framework and / or content elements to be updated.

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