Digital memory interconnection blackboard and display screen integrated design system

Through the integrated design system of digital memory interconnected blackboard and display screen, the teaching content generated by the smart blackboard is preprocessed and infringement risk analysis is analyzed, and the appropriate sharing scope is determined, which solves the problem of lack of effective restrictions in the sharing of teaching content, and achieves safe and efficient sharing of content.

CN119904779APending Publication Date: 2025-04-29HUNAN YIFAN TEACHING EQUIP CO LTD
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Patent Information

Application Number
CN202411994466.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-31
Publication Date
2025-04-29

AI Technical Summary

Technical Problem

The teaching content generated by the smart blackboard lacks effective restrictions in the sharing process, which may lead to content abuse and ownership disputes.

Method used

Design an integrated design system for digital memory interconnection blackboard and display screen, including data acquisition module and data analysis module. The data acquisition module collects teaching data through several data acquisition devices, and the data analysis module preprocesses the teaching data, including content denoising, content alignment and sensitive content marking, thereby determining the level and scope of sharing the teaching content.

Benefits of technology

By pre-processing and infringement risk analysis of teaching content, the appropriate sharing scope is determined, which effectively prevents the abuse of teaching content, reduces the possibility of ownership disputes, and improves the safety of teaching content.

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Abstract

The invention discloses an integrated design system for a digital memory interconnected blackboard and a display screen, relates to the technical field of teaching supplies, and solves the technical problems that in the prior art, the teaching content is misused and the safety cannot be guaranteed due to the fact that the sharing process of the teaching content generated by an intelligent blackboard is not effectively limited. The teaching process is recorded through the interconnected blackboard and various types of data acquisition devices to generate the teaching content, a plurality of teaching data are preprocessed in the teaching content generation process, and preprocessing mainly comprises alignment, denoising and marking; alignment and denoising are used for improving the overall quality of teaching content, and marking is used for reducing the workload of subsequent comprehensive infringement analysis calculation. The infringement risk of the teaching content is analyzed to determine the allowed sharing range of the teaching content, and the sharing process of the teaching content is monitored according to the sharing range; the sharing range of the teaching content is strictly monitored, and the possibility that the teaching content is abused is reduced.
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Description

Technical Field

[0001] The present application belongs to the field of teaching supplies, and specifically is a digital memory interconnected blackboard and display screen integrated design system. Background Art

[0002] With the development and popularization of electronic display technology, traditional blackboards in classroom teaching have been gradually replaced by smart blackboards. Smart blackboards mainly include interconnected blackboards and several intelligent control devices. The interconnected blackboard can recognize written content, and several intelligent control devices integrate functions such as sound pickup, video, and touch. Smart blackboards can not only assist teachers in outputting high-quality teaching content, but also enable learners to learn teaching content more intuitively.

[0003] Since the smart blackboard integrates various intelligent devices, it can store the teaching content of the teacher as audio and video files, and learners can obtain the audio and video files for after-class learning. However, at present, audio and video files are mainly shared by scanning codes, copying, etc., and the specific application scenarios of audio and video files cannot be clearly identified after sharing. If the audio and video files involve infringing content and learners do not use them reasonably, it is easy to cause ownership disputes.

[0004] The present application provides a digital memory interconnected blackboard and display screen integrated design system to solve the above technical problems. Summary of the invention

[0005] The present application aims to solve at least one of the technical problems existing in the prior art; to this end, the present application proposes an integrated design system of a digital memory interconnected blackboard and a display screen, which is used to solve the technical problem that the prior art does not impose effective restrictions on the sharing process of teaching content generated by the smart blackboard, which may lead to the abuse of teaching content and cause ownership disputes.

[0006] To achieve the above-mentioned purpose, the first aspect of the present application provides a digital memory interconnected blackboard and display screen integrated design system, which is applied to an intelligent blackboard, and includes: a data analysis module, and a data acquisition module connected thereto, the data acquisition module being connected to a number of data acquisition devices;

[0007] Data acquisition module: used to collect teaching data in the teaching process through a number of data acquisition devices; wherein the teaching data includes audio, video and text;

[0008] Data analysis module: used to pre-process a number of teaching data, generate and store teaching content; the pre-processing includes content denoising, content alignment and sensitive content tagging; and,

[0009] Extract sensitive content from the teaching content, determine the sharing restriction level of the teaching content based on the sensitive content; determine the sharing scope of the teaching content based on the sharing restriction level.

[0010] Preferably, the teaching data collected during the teaching process includes:

[0011] Waking up the smart blackboard through a wake-up command; wherein the wake-up command includes a touch command or a voice command;

[0012] Collect data in real time through a number of data collection devices; extract a set time period, and extract teaching data from the data collected in real time according to the set time period; wherein the set time period is set based on the course type or is manually set.

[0013] Preferably, the data acquisition module is connected to a plurality of intelligent interactive terminals;

[0014] Several intelligent interactive terminals are used for students to conduct question-and-answer interactions in the classroom.

[0015] Preferably, generating teaching content includes:

[0016] receiving a number of teaching data;

[0017] After content alignment and content denoising of several teaching data, a video file is synthesized; sensitive content in the video file is marked to obtain teaching content; wherein the sensitive content is the quoted content.

[0018] Preferably, the video file is synthesized, including:

[0019] Firstly align the content of a number of teaching data according to time to obtain data group 1;

[0020] Identify the content in data group one and remove content noise to obtain data group two; wherein the content noise includes audio noise and image noise;

[0021] The audio and video in the data group 2 are supplemented with materials, and the audio and video are synthesized into a video file; wherein, the material supplement is realized by a video restoration model.

[0022] Preferably, the sharing restriction level of the teaching content is determined according to the sensitive content, including:

[0023] Extract some sensitive contents from teaching content;

[0024] Determine whether certain sensitive contents have infringement risks; if so, set the sharing restriction level of the teaching contents to restricted; otherwise, set the sharing restriction level of the teaching contents to non-restricted.

[0025] Preferably, the sharing scope of the teaching content is determined according to the sharing restriction level, including:

[0026] When the sharing restriction level of teaching content is non-restricted, there is no restriction on the sharing scope of teaching content;

[0027] When the sharing restriction level of teaching content is restricted, the sharing scope is determined based on the comprehensive infringement risks of several sensitive contents.

[0028] Preferably, the comprehensive infringement risk of several sensitive contents is calculated, including:

[0029] Calculate several infringement indicators for several sensitive contents in teaching content respectively; the infringement indicators include quantity score, proportion score, originality score and market impact score;

[0030] The comprehensive infringement risk of teaching content is calculated by combining several infringement indicators.

[0031] Preferably, the scope of sharing of teaching content is determined based on comprehensive infringement risks, including:

[0032] Determine the risk level of teaching content based on the comprehensive infringement risk; the risk levels include low risk, medium risk and high risk;

[0033] Match the sharing form to the teaching content according to the risk level, and use the sharing form as the sharing scope of the teaching content.

[0034] Preferably, during the teaching content sharing process, it is verified whether the sharing object of the teaching content is within the corresponding sharing scope; if yes, the sharing is completed and the sharing object is recorded; if not, the sharing is terminated.

[0035] Compared with the prior art, the beneficial effects of this application are:

[0036] 1. This application records the teaching process through an interconnected blackboard and various types of data acquisition devices to generate teaching content. In the process of generating teaching content, some teaching data are pre-processed. The pre-processing mainly includes alignment, denoising and marking. Alignment can synchronize the audio and video of the teaching content. Denoising can remove audio noise and image noise, thereby improving the overall quality of the teaching content. Marking is to mark sensitive content in the teaching content in advance to reduce the workload of subsequent comprehensive infringement analysis and calculation. This application determines the scope of sharing allowed by analyzing the infringement risk of the teaching content, and monitors the sharing process of the teaching content according to the sharing scope; the sharing scope of the teaching content is strictly monitored to reduce the possibility of abuse of the teaching content.

[0037] 2. This application determines the corresponding risk level according to the comprehensive infringement risk of several sensitive contents in the teaching content, pre-matches the sharing form for the teaching content according to the risk level, and strictly restricts the sharing of the teaching content according to the sharing form; in this way, this embodiment can monitor the risks of the teaching content generated by the smart blackboard, ensure that it is within the reasonable scope of use, and improve the security of the teaching content. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 This is a schematic diagram of the system principle of the digital memory interconnected blackboard and display screen integrated design system in Example 1 of the present application;

[0040] Figure 2 This is a schematic diagram of the working principle of the digital memory interconnected blackboard and display screen integrated design system in Example 1 of the present application;

[0041] Figure 3 This is a schematic diagram of the generation process of teaching content in Example 2 of this application;

[0042] Figure 4 This is a schematic diagram of the process of determining the sharing scope corresponding to the teaching content in Example 3 of this application. DETAILED DESCRIPTION

[0043] The technical solution of the present application will be described clearly and completely in conjunction with the embodiments below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0044] Smart blackboards have gradually replaced traditional blackboards due to their convenience. When teachers use smart blackboards for teaching activities, they can not only call up teaching resources at any time to improve teaching efficiency, but also record and store the entire teaching process. If learners do not master the content in class, they can review and consolidate it by replaying the teaching courseware after class. When teachers conduct teaching activities, in order to increase learners' interest or explain a certain knowledge point, they often quote other people's opinions. This is fair use in normal teaching activities. However, once the teaching courseware is uploaded to the relevant Internet platform, it is very likely to infringe the original author's intellectual property rights and bring unnecessary trouble.

[0045] Embodiment 1: The digital memory interconnected blackboard and display screen integrated design system provided in this embodiment records the teaching process through the interconnected blackboard and various types of data acquisition devices to generate teaching content, analyzes the infringement risk of the teaching content to determine its permitted sharing scope, monitors the sharing process of the teaching content according to the sharing scope, and avoids infringement disputes in the process of disseminating the teaching content.

[0046] See also Figure 1-Figure 2 , the first aspect of the present application provides a digital memory interconnected blackboard and display screen integrated design system, applied to an intelligent blackboard, including: a data analysis module, and a data acquisition module connected thereto, the data acquisition module is connected to a plurality of data acquisition devices; the data acquisition module: used to collect teaching data in the teaching process through a plurality of data acquisition devices;

[0047] Data analysis module: used to pre-process a number of teaching data, generate and store teaching content; and, extract sensitive content from the teaching content, determine the sharing restriction level of the teaching content based on the sensitive content; determine the sharing scope of the teaching content based on the sharing restriction level.

[0048] The smart blackboard of this embodiment mainly includes a frame, a touch display panel, an interconnected blackboard and several data acquisition devices arranged on the frame, and the touch display panel and the interconnected blackboard can be linked. Several data acquisition devices mainly include a sound pickup device, a camera device, etc., which are used to record teaching activities. The specific components of the smart blackboard can refer to the existing technical solutions (such as the invention patent application with publication number CN113506476A), and the details thereof will not be repeated.

[0049] The teaching data in this embodiment includes audio, video and text. Audio data includes audio of the teacher's teaching and audio of interaction with learners, etc. Video data includes teaching actions and writing actions of the teacher during the teaching process, etc. Text mainly includes used documents, recognized handwritten documents of the teacher, etc. In some preferred embodiments, the video includes both images and audio, so the teaching data may only include video and text. After collecting the teaching data, pre-processing is required, mainly denoising, marking, etc., to improve data quality and facilitate subsequent analysis and processing.

[0050] In the present embodiment, during the teaching process, the teacher collects teaching-related content through a number of data collection devices, and integrates these contents to generate teaching content; the teaching content is actually a marked video file, and whether the teaching content has an infringement risk is determined by the marked sensitive content. If there is an infringement risk, the sharing scope is limited to ensure that the teaching content is disseminated within the scope of reasonable use for learners to learn.

[0051] This embodiment collects teaching data during the teaching process, including the following steps:

[0052] The intelligent blackboard is awakened by a wake-up instruction; data is collected in real time by a number of data collection devices; a set time period is extracted, and teaching data is extracted from the data collected in real time according to the set time period.

[0053] The above-mentioned wake-up instruction includes a touch instruction or a voice instruction, etc. The touch instruction can be a touch operation performed by the teacher on the touch display panel to wake up the smart blackboard, or a voice instruction can be used to wake up the smart blackboard. Of course, the smart blackboard can also be woken up by other wake-up methods, which are not listed here.

[0054] The teaching process of the teacher usually lasts for several minutes, so the set time period is determined according to the course type or the method set by the teacher. The teaching book is extracted from the real-time collected data every set time period. For example, video data is extracted every one minute and sent to the data analysis module for corresponding processing, which can avoid delaying sharing after the teaching activity is completed.

[0055] In some other preferred embodiments, the smart blackboard also includes a number of smart interactive terminals, which are used for learners to interact with teachers in real time in the classroom. For example, the teacher asks questions on the interconnected blackboard, and the learners give answers through the smart interactive terminals. The smart interactive terminals feed back the learners' answers to the touch display panel to achieve real-time interaction.

[0056] According to the provisions of "fair use" in the Copyright Law of the People's Republic of China, schools use published works for classroom teaching or scientific research, translation or a small amount of copying for teaching or scientific research personnel. After the teacher generates teaching content through the intelligent blackboard, even if the teacher allows it, if the teaching content involves citing other people's works and is uploaded to the relevant learning platform for profit, it will still constitute infringement of the original author. Therefore, before sharing the teaching content, this embodiment first determines whether there is a right dispute if the teaching content is used for profit. If there is no right dispute, the sharing scope is not set with the permission of the relevant copyright owner (party) such as the teacher, that is, anyone can obtain the teaching content through formal channels for learning. If there is a right dispute, it does not constitute an infringement for teaching or scientific research personnel to use according to the provisions of "fair use", then the sharing object of the teaching content can be determined as the teaching object or scientific research personnel, that is, the sharing scope of the teaching content is determined.

[0057] Example 2: The difference between this example and example 1 is that it provides a method for preprocessing a number of teaching data to generate teaching content; this example obtains teaching content by aligning and denoising a number of teaching data, and then marking the sensitive content therein. This method can effectively reduce the noise in the teaching content, improve the overall quality of the teaching content, and provide a data basis for determining the sharing scope in the future, avoiding the impact of excessive data volume on sharing efficiency. Please refer to Figure 3 , refer to the following steps for details:

[0058] The data analysis module generates teaching content, including:

[0059] Receive some teaching data; perform content alignment and content denoising on some teaching data to synthesize and obtain a video file; mark sensitive content in the video file to obtain teaching content.

[0060] After receiving a number of teaching data in a set period of time, the data analysis module performs content alignment and content denoising on the teaching data. Content alignment mainly refers to time alignment according to the acquisition time to ensure the synchronization of audio and image. Sometimes it may be difficult to solve the problem of audio and image asynchrony through time alignment. At this time, additional adjustments are required, such as manual adjustments or audio synchronization tool adjustments. Content denoising mainly removes noise in audio or images, as well as audio or images that are not related to teaching activities. After the above processing, the teaching data can achieve audio and video synchronization without noise, and then synthesize the teaching data into a video file, and then intelligently identify and mark the sensitive content in the video file to obtain the teaching content. It should be noted that the above-mentioned sensitive content is mainly quoted content, that is, the content of other works; of course, if it is considered that the teaching activities may involve confidential content, the sensitive content can also include these confidential contents.

[0061] In this embodiment, the specific steps of content alignment and content denoising are as follows:

[0062] First, the content of several teaching data is aligned according to time to obtain data group one; the content in data group one is identified, and the content noise is eliminated to obtain data group two; the audio and video in data group two are supplemented with materials, and the audio and video are synthesized into a video file.

[0063] For example, the teaching data is an audio stream and a video stream. First, align the audio stream and the video stream according to time, and use relevant tools to detect whether the audio and video are synchronized. If so, identify the content of the audio stream and the video stream. If there is noise in the audio stream, remove the noise. If the noise appears in a certain time range, the total length of the audio stream will be shortened; similarly, if there are invalid images or noise images in the video stream, remove the invalid images or noise images, which may also shorten the video stream. If part of the audio stream is removed, it may result in only images but no sound or incoherent sound during playback; if part of the video stream is removed, it may result in sound during playback, but a black screen. In response to the above problems, this embodiment solves them by supplementing materials, that is, removing the front and back audio connections of the audio to generate a complete audio stream (ensuring no distortion), or compressing the video stream to achieve coordination between audio and video. Of course, the missing parts can also be supplemented by existing materials to ensure the continuity of the audio and video streams. The above material supplement can be implemented based on the video repair model,

[0064] This embodiment performs content preprocessing on the collected teaching data, and performs intelligent recognition on the preprocessed video files, and generates teaching content after marking sensitive content. This embodiment ensures the overall quality of teaching content through content alignment and content denoising, and then marks sensitive content to form teaching content, which can provide a data basis for subsequent infringement risk analysis, without the need for centralized sensitive content recognition and marking, thereby improving its analysis efficiency.

[0065] Example 3: This example differs from Example 1 or Example 2 in that it provides a method for determining the sharing restriction level of teaching content based on sensitive content, judging whether there is an infringement risk based on the sensitive content in the teaching content, and setting the sharing scope of the teaching content based on the judgment result. Figure 4 , please refer to the following steps for details:

[0066] Determine the sharing restriction level of teaching content based on sensitive content, including:

[0067] Extract some sensitive contents from the teaching content and determine whether there is a risk of infringement. If yes, set the sharing restriction level of the teaching content to restricted level; otherwise, set the sharing restriction level of the teaching content to non-restricted level.

[0068] As can be seen from the above, the sensitive content of this embodiment is mainly quoted content or confidential content. Quoting does not necessarily mean infringement when it is not used reasonably. If the quoted content is common knowledge, there will be no ownership dispute. Therefore, this embodiment performs intelligent comparison on the sensitive content marked in the teaching content to determine whether the sensitive content has infringement risks. If there is an infringement risk, it is necessary to limit the sharing scope of the teaching content, that is, the sharing restriction level of the teaching content is set to restricted. If there is no infringement risk for all sensitive content, the sharing restriction level of the teaching content is set to unrestricted. The above-mentioned infringement risks can be automatically identified through deep learning algorithms, such as automatic monitoring methods based on RPA technology, ACRCloud audio detection solutions, various intellectual property automatic detection models, etc.

[0069] In this embodiment, when the sharing restriction level of the teaching content is non-restricted, the sharing scope of the teaching content is not restricted; when the sharing restriction level of the teaching content is restricted, the sharing scope is determined based on the comprehensive infringement risk of several sensitive contents. In other words, when the sharing restriction level of the teaching content is restricted, it is still necessary to determine the appropriate sharing scope based on the infringement risk of the teaching content. In other preferred embodiments, when the sharing restriction level of the teaching content is restricted, the corresponding sharing scope can be directly matched.

[0070] This embodiment also provides a method for calculating the comprehensive infringement risk of teaching content, including:

[0071] Calculate several infringement indicators for several sensitive contents in the teaching content separately; among them, the infringement indicators include quantity score, proportion score, originality score and market impact score; calculate the comprehensive infringement risk of the teaching content by combining several infringement indicators.

[0072] Specifically, we obtain the number of sensitive contents in the teaching content (Q), the duration ratio of sensitive contents (L), the potential impact of sensitive contents on the original work market (market substitutability) (C), and the originality of sensitive contents (R); we calculate the number of scores of sensitive contents in the teaching content (Q) respectively. s , originality score R s and Market Impact Rating C s ;in, Among them, T is the total duration of sensitive content, P is the total duration of teaching content, R is the originality of sensitive content, and R∈[0,1]; the comprehensive infringement risk Among them, i is the number of sensitive content, and β is the weight factor, which is adjusted according to actual conditions.

[0073] When the comprehensive infringement risk Risk<θ1, the teaching content is low risk; when θ1≤Risk<θ2, the teaching content is medium risk; when Risk≥θ2, the teaching content is high risk.

[0074] This embodiment mainly determines the sharing scope according to the comprehensive infringement risk by directly matching the sharing form. Specifically, when the teaching content is low-risk, it means that the infringement risk is relatively low even if the teaching content is not used reasonably, so it can be shared with some off-campus personnel, such as parents of students. When students encounter difficulties, parents can refer to the teaching content for answers, so the teaching content can be shared with students in the school and corresponding off-campus parents. When the teaching content is medium-risk, it is necessary to further restrict the sharing scope of the teaching content, such as only allowing students in the school to obtain the teaching content, so that even if there is an infringement risk, it can be quickly located and stopped in time, so the teaching content is shared with students in the school. When the teaching content is high-risk, it is necessary to limit it to the scope of reasonable use, so the teaching content is only shared with students in the corresponding class. In some other preferred embodiments, other ways to determine the sharing scope can also be given according to the comprehensive infringement risk of the teaching content.

[0075] During the sharing process of teaching content, it is necessary to verify whether the sharing object of the teaching content is within the matching sharing range. If so, the sharing is completed immediately; otherwise, the sharing of the teaching content is terminated.

[0076] The verification method can be to obtain other unique IDs by verifying the mobile phone number, name, etc.

[0077] This embodiment determines the corresponding risk level according to the comprehensive infringement risk of several sensitive contents in the teaching content, matches the teaching content in advance according to the risk level, and strictly restricts the sharing of the teaching content according to the sharing form; in this way, this embodiment can monitor the risks of the teaching content generated by the smart blackboard to ensure that it is within the scope of reasonable use and will not cause infringement disputes.

[0078] The above embodiments are only used to illustrate the technical method of the present application and are not intended to limit it. Although the present application has been described in detail with reference to the preferred embodiments, a person of ordinary skill in the art should understand that the technical method of the present application may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present application.

Claims

1. A digital memory interconnected blackboard and display screen integrated design system, applied to smart blackboard, characterized in that: include: A data analysis module, and a data acquisition module connected thereto, wherein the data acquisition module is connected to a plurality of data acquisition devices; Data collection module: used to collect teaching data in the teaching process through a plurality of data collection devices; wherein the teaching data includes audio, video and text; Data analysis module: used to pre-process a number of teaching data, generate and store teaching content; the pre-processing includes content denoising, content alignment and sensitive content tagging; and, Extract sensitive content from the teaching content, determine a sharing restriction level of the teaching content according to the sensitive content; and determine a sharing scope of the teaching content according to the sharing restriction level.

2. A digital memory interconnected blackboard and display screen integrated design system according to claim 1, characterized in that: Collecting the teaching data during the teaching process includes: Waking up the smart blackboard through a wake-up instruction; wherein the wake-up instruction includes a touch instruction or a voice instruction; Collect data in real time through a number of data collection devices; extract a set time period, and extract teaching data from the data collected in real time according to the set time period; wherein the set time period is set based on the course type or is manually set.

3. A digital memory interconnected blackboard and display screen integrated design system according to claim 1, characterized in that: The data acquisition module is connected to a number of intelligent interactive terminals; Several of the intelligent interactive terminals are used for students to conduct question-answering interactions in the classroom.

4. A digital memory interconnected blackboard and display screen integrated design system according to claim 1, characterized in that: Generating the teaching content includes: receiving a number of teaching data; After performing content alignment and content denoising on a number of the teaching data, a video file is synthesized; sensitive content in the video file is marked to obtain teaching content; wherein the sensitive content is reference content.

5. A digital memory interconnected blackboard and display screen integrated design system according to claim 4, characterized in that: The video file is synthesized, including: Firstly align the content of the plurality of teaching data according to time to obtain a data set 1; Identify the content in the data group 1 and remove the content noise to obtain the data group 2; wherein the content noise includes audio noise and image noise; The audio and video in the data group 2 are supplemented with materials, and the audio and video are synthesized into a video file; wherein the material supplement is implemented through a video repair model.

6. A digital memory interconnected blackboard and display screen integrated design system according to claim 1 or 5, characterized in that: Determining the sharing restriction level of the teaching content according to the sensitive content includes: Extracting some sensitive contents from the teaching contents; Determine whether some of the sensitive contents have infringement risks; if yes, set the sharing restriction level of the teaching contents to restricted level; otherwise, set the sharing restriction level of the teaching contents to non-restricted level.

7. A digital memory interconnected blackboard and display screen integrated design system according to claim 6, characterized in that: Determining the sharing scope of the teaching content according to the sharing restriction level includes: When the sharing restriction level of the teaching content is non-restricted, the sharing scope of the teaching content is not restricted; When the sharing restriction level of the teaching content is restricted, the sharing scope is determined based on the comprehensive infringement risk of several sensitive contents.

8. A digital memory interconnected blackboard and display screen integrated design system according to claim 7, characterized in that: Calculate the comprehensive infringement risk of several of the sensitive contents, including: Calculate several infringement indicators of several sensitive contents in the teaching content respectively; wherein the infringement indicators include quantity score, proportion score, originality score and market impact score; The comprehensive infringement risk of the teaching content is calculated by combining several infringement indicators.

9. A digital memory interconnected blackboard and display screen integrated design system according to claim 8, characterized in that: The scope of sharing of the teaching content is determined based on the comprehensive infringement risk, including: Determining the risk level of the teaching content according to the comprehensive infringement risk; wherein the risk level includes low risk, medium risk and high risk; A sharing form is matched with the teaching content according to the risk level, and the sharing form is used as the sharing scope of the teaching content.

10. A digital memory interconnected blackboard and display screen integrated design system according to claim 9, characterized in that: During the teaching content sharing process, verify whether the sharing object of the teaching content is within the corresponding sharing scope; if yes, complete the sharing and record the sharing object; If not, the sharing will be terminated.

Citation Information

Patent Citations

  • Intelligent interconnection blackboard

    CN113506476A